Solutions to the "7 Billion Humans" challenges
Home Page: https://soerface.github.io/7billionhumans
License: MIT License
Solutions to the challenges of the game "7 Billion Humans". Table with overview available at GitHub Pages.
Get the game from the Tomorrow Corporation Website.
Feel free to send pull requests with better solutions. Please add the time
/ speed as a comment in the source. You can use the script add_solution.py
to put your solution in the right folder. It will ask you for the speed of
your solution, determine the size automatically and put it in the correct
directory.
I'd love to see solutions displayed in a neat graphical way instead of the current text only form. That way it'd be far easier to read all of them.
As example show them in a way they'd be displayed in-game.
Function to check if one solution dominates another is already present and used when submitting solutions. Use it as test to let CI fail if something is inconsistent.
In the game it is possible to set nothing to mem. However, the parser complains:
line 4:11 mismatched input 'nothing' expecting {'myitem', MEM, NUMBER, DIRECTION}
Example Source:
Target Size: 17
Size: 17
Target Speed: 54
Speed: 52
Copy the sourcecode to the clipboard and press enter
Saved: solutions/64 - Binary Counter/size.asm
Saved: solutions/64 - Binary Counter/speed.asm
Saved: solutions/64 - Binary Counter/speed+size.asm
Add another source? [y/N] y
Target Size: 17
Size: 17
Target Speed: 54
Speed: 47
Copy the sourcecode to the clipboard and press enter
Saved: solutions/64 - Binary Counter/size.asm
Saved: solutions/64 - Binary Counter/speed.asm
Already exists, not overwriting: solutions/64 - Binary Counter/speed+size.asm
As indicated by the output: my second solution was slightly faster but it did not overwrite the speed+size of my first attempt.
Are solutions that use pastable only commands allowed?
e.g. takefrom nw,sw,ne,se
Which solutions are considered better:
faster/shorter with a lower success rate or that with a higher success rate?
Are solutions from other repositories allowed?
Should we keep solutions that are inferior in every aspect?
What is the minimum allowed success rate for a solution?
It's amazing that after so many years you can still find new solutions. Thanks everyone
Add a table to pages like https://soerface.github.io/7billionhumans/02-Welcome,_New_Employees/ . Currently, not every user could understand one should click the user avatar to view the codes.
| Author | Size | Speed | View Detail |
|---|---|---|---|
| soerface | 3 | 1 | Show codes |
A table like this should be helpful.
In pull requests, skip the parts that need the GitHub API key to prevent them from failing randomly.
There is no need to delete working solutions.
Instead, they may be helpful, if they contain different approaches. (A superseded approach may be improved so it gets better than the previously superseding one)
I had made a solution for Lv38 which is both shorter and faster than existed solution. But it not produce correct result every time. Should I add it? Maybe we should also keep the correct one?
Size: 14, Speed: 29, Pass: 18/25
a:
step n
if c <= mem1 or
mem1 != datacube:
mem1 = set c
endif
if n == wall:
pickup mem1
mem4 = nearest shredder
b:
mem2 = nearest worker
if mem2 == nothing:
giveto mem4
endif
if myitem >= mem2 or
myitem == nothing:
mem4 = nearest hole
step mem4
endif
jump b
endif
jump a
If we have a parser, we could create a pretty rendering of the source on the website.
Also, it would come in pretty handy if someone wants to write a simulator (#3)
I have a hardcoded solution for level 32, it is 210 commands long. When inputting via script an issue occures. There is some sort of reed error of the clipboard and it saves as a size 162 solution...
Speed: 33
Were there failing solutions (red bars instead of green ones)? [y/N]
Were there different times in different measurements? [y/N]
Copy the sourcecode to the clipboard and press enter
line 118:10 token recognition error at: 'om'
line 118:13 token recognition error at: 'th'
line 118:15 token recognition error at: 'in'
line 118:17 token recognition error at: 'g:'
line 118:12 mismatched input 'e' expecting ':'
Saved: solutions/32 - Creative Writhing/size-162_speed-33.asm
-- 7 Billion Humans (2053) --
-- 32: Creative Writhing --
if nw == wall:
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
end
else:
if sw == datacube:
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
end
endif
endif
if ne == something:
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
end
endif
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step w
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
step e
pickup c
write 99
drop
step s
pickup c
write 99
drop
step s
pickup c
write 99
drop
Error: mismatched input 'mem1' expecting {DIRECTION, 'everyone'}
valid line: tell mem1 hi
Automatically build a fancy website with the solutions from the repository.
Travis pipeline is not working anymore. Switch to GH actions for a reliable build of GH pages
It would be nice if we could test given solutions automatically, allowing to check for correct solutions and measuring their performance. This way we could integrate CI and allow faster merge of pull requests.
I was trying to submit a better solution I found but the code seems to be having trouble finding antlr.SevenBillionHumansParser. I'm not too experienced with python and I'm not sure how to fix this.
line 13:11 token recognition error at: 'ac'
line 13:13 token recognition error at: 'hd'
line 13:15 token recognition error at: 'ir'
line 15:3 token recognition error at: 'fo'
line 15:5 token recognition error at: 'r\n'
line 13:8 no viable alternative at input 'mem1 = or'
line 16:0 missing EOL at 'write'
Example file: https://github.com/soerface/7billionhumans/blob/master/solutions/55%20-%20Data%20Flowers/size-10_speed-23.asm
@malled2002 ❤️
Example:
...
-- Size: 42
-- Speed: 204
-- Speed Tests: 203, 204, 204, 205, 203, 203
-- Success Rate: 123/150
...
WebGL not supported by all browser. There is no fallback for webGL. For such small graph webGL should not be relevant.
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