fixed incorrect usage of the scale function (apparently)
also slight README change
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@ -21,9 +21,12 @@ but you can use any newline-separated list of strings
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some other word lists to save you time:
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* [dwyl/english-words](https://github.com/dwyl/english-words/)
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* [positive-words.txt](https://gist.github.com/mkulakowski2/4289437) (it needs removal of the comment block on top)
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* [pos/neg sentiment lexicon](https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html#lexicon) (needs comment block removal and .rar unpacking)
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* [List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words)
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* [lorenbrichter/Words](https://github.com/lorenbrichter/Words)
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* [jlawler's word list from '99](http://www-personal.umich.edu/~jlawler/wordlist.html)
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* [scottfrazer's GRE list](https://github.com/scottfrazer/gre/blob/master/words.txt) (needs trivial processing to print first column)
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* [linuxwords dictionary by ola](https://users.cs.duke.edu/~ola/ap/linuxwords)
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* [Debian's wordlist package](https://packages.debian.org/stable/wordlist)
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* [Arch's words package](https://archlinux.org/packages/community/any/words/)
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@ -26,8 +26,8 @@ def wordmap(wordlist_file: str, input: str, digest_size: int = 4):
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words_max = len(words)
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digest_max = int.from_bytes(b'\xff' * digest_size, "big")
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input_hash = hashfun(input, digest_size=digest_size)
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# words_max-1 is so that it can round up to the max
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input_hash_mapped = scale(input_hash, (0, digest_max), (0, words_max-1))
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# digest_max+1 is so that it can round up to the max
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input_hash_mapped = scale(input_hash, (0, digest_max+1), (0, words_max))
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# alternatively, change round() to math.floor()
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input_hash_mapped = round(input_hash_mapped)
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print(words[input_hash_mapped], end="")
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