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55 lines
2.2 KiB
55 lines
2.2 KiB
= Monster Hunter scripts
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This repository contains the source code for http://mhapi.info, a site for
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monster hunter related calculators and tools. It also contains scripts that
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can be used directly from the command line, and python modules that can be used
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to build other monster hunter related tools.
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== Dependencies
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Tested using Python 2.7, might work with 2.6. Uses sqlite3, which is part of
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the standard library now but I'm not sure it's always compiled in by default
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in all Python distributions (e.g. for Windows or Mac OS X).
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== Acknowledgements
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The bundled monster hunter db is from the excellent
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link:https://github.com/kamegami13/MonsterHunter4UDatabase[MonsterHunter4UDatabase]
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Android app by DavianCorp, which is also MIT licensed. See
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link:db/COPYING.mh4udb[] for license details.
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Rise data is from link:https://mhrise.mhrice.info/about.html[MHRice].
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== Example usage
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For a list of quests and hunts providing the specified monster part:
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bin/mhrewards.py "Zinogre Jasper"
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This gives detailed expected values for the item from different sources,
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including quest rewards, carves, capture, and shiny drops. It also gives
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recommendations for which quests and strategy (capture or kill) will give the
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best results. See link:RECOMMENDATIONS.adoc[] for a more detailed explanation of
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the output.
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For more manual calculations, mhprob.py can be used directly. The quest
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"Plain Dangerous" in 3U has 2 fixed rewards in A, one in B. Diablos hardhorns
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have a 5% chance:
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bin/mhprop.py 5 2 3 69
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bin/mhprop.py 5 1 1 69
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For great luck, you would replace 69 with 90. The output includes both expected
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value and probability of getting at least one.
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== Math
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Monster hunter rewards can be modeled using the Binomial distribution. The most
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popular method I've seen online is to calculate the probability of getting at
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least one. I prefer to use expected (mean) value, which is easier to calculate
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and provides a more intuitive quantity. For
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more information see the
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link:http://en.wikipedia.org/wiki/Expected_value[Wikipedia article] on expected
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value, and the description of how to calculate expected value on the
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link:http://en.wikipedia.org/wiki/Binomial_distribution#Mean_and_variance[Binomial distribution].
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