# Pandemic Outbreak Calculator [closed]

In the board game Pandemic, an outbreak occurs when a city contains more than 3 disease cubes. When the outbreak occurs, any disease cubes in the city in excess of 3 are removed, and each city connected to it gains one disease cube. This means that chain reactions can, and will occur.

Important note: Each city may only outbreak once in each chain reaction.

## Input

A list of cities each containing:

• An integer representing the number of disease cubes .
• And a number of identifiers of the form (A, B ... AA, AB) (lowercase is allowed) representing which cites in list order it is connected to.

## Output

A list of integers representing the number of disease cubes in each city after outbreaks have been resolved.

## Winning Condition

This is , so the shortest code in bytes wins.

## closed as unclear what you're asking by FryAmTheEggman, Giuseppe, Luis felipe De jesus Munoz, DJMcMayhem♦Jun 13 at 17:40

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• Could you add test cases? – HyperNeutrino Jun 13 at 16:10
• I think it's clear enough. – Who Jun 13 at 16:12
• Are city edges bidirectional? Is it strictly greater than (that is, a pandemic starts upon a city gaining its fourth cube)? – HyperNeutrino Jun 13 at 16:12
• The point isn't that it's clear enough (which it isn't); test cases are to test people's solutions otherwise it's very inconvenient to verify that one's solution is valid. – HyperNeutrino Jun 13 at 16:13
• it would take time – Who Jun 13 at 16:13

f=lambda d,e,v=[],n=enumerate:any((D>3)>(i in v)for i,D in n(d))and f([(i in v)and D or(min(3,D)+sum((k not in v)*(d[k]>3)for k in E))for i,(D,E) in n(zip(d,e))],e,v+[i for i,D in n(d)if D>3])or sum(d)

Worst case O(n) on the number of cities. d is a list of disease counts, e is a list of city connections by 0-indexed position corresponding to d, and v is the visited array (which should not be given as input, obviously).
For the case [4, 3, 2] with connections 0 <-> 1, 1 <-> 2, and 0 <-> 2, first, city 0 outbreaks and becomes 3 and sets city 1 to 4 and city 2 to 3. Then, city 1 outbreaks and becomes 3 and sets city 2 to 4 (city 0 already had an outbreak). Finally, city 2 has an outbreak and nothing can be affected, leaving all three cities on 3 disease cubes, totalling 9.