forked from varia/varia.website
many many many Varia's websites, work in progress: https://many.vvvvvvaria.org
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
1.3 KiB
57 lines
1.3 KiB
7 years ago
|
# -*- coding: utf-8 -*-
|
||
|
|
|
||
|
|
# Adadpted from here: http://acdx.net/calculating-the-flesch-kincaid-level-in-python/
|
||
|
|
# See here for details: http://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_test
|
||
|
|
|
||
|
|
from __future__ import division
|
||
|
|
import re
|
||
|
|
|
||
|
|
|
||
|
|
def mean(seq):
|
||
|
|
return sum(seq) / len(seq)
|
||
|
|
|
||
|
|
|
||
|
|
def syllables(word):
|
||
|
|
if len(word) <= 3:
|
||
|
|
return 1
|
||
|
|
|
||
|
|
word = re.sub(r"(es|ed|(?<!l)e)$", "", word)
|
||
|
|
return len(re.findall(r"[aeiouy]+", word))
|
||
|
|
|
||
|
|
|
||
|
|
def normalize(text):
|
||
|
|
terminators = ".!?:;"
|
||
|
|
term = re.escape(terminators)
|
||
|
|
text = re.sub(r"[^%s\sA-Za-z]+" % term, "", text)
|
||
|
|
text = re.sub(r"\s*([%s]+\s*)+" % term, ". ", text)
|
||
|
|
return re.sub(r"\s+", " ", text)
|
||
|
|
|
||
|
|
|
||
|
|
def text_stats(text, wc):
|
||
|
|
text = normalize(text)
|
||
|
|
stcs = [s.split(" ") for s in text.split(". ")]
|
||
|
|
stcs = [s for s in stcs if len(s) >= 2]
|
||
|
|
|
||
|
|
if wc:
|
||
|
|
words = wc
|
||
|
|
else:
|
||
|
|
words = sum(len(s) for s in stcs)
|
||
|
|
|
||
|
|
sbls = sum(syllables(w) for s in stcs for w in s)
|
||
|
|
|
||
|
|
return len(stcs), words, sbls
|
||
|
|
|
||
|
|
|
||
|
|
def flesch_index(stats):
|
||
|
|
stcs, words, sbls = stats
|
||
|
|
if stcs == 0 or words == 0:
|
||
|
|
return 0
|
||
|
|
return 206.835 - 1.015 * (words / stcs) - 84.6 * (sbls / words)
|
||
|
|
|
||
|
|
|
||
|
|
def flesch_kincaid_level(stats):
|
||
|
|
stcs, words, sbls = stats
|
||
|
|
if stcs == 0 or words == 0:
|
||
|
|
return 0
|
||
|
|
return 0.39 * (words / stcs) + 11.8 * (sbls / words) - 15.59
|