features_p.py

#!/usr/bin/python3
from typing import List


def gp_verb_proportion(text, tags):
	"""Anteil der Verben"""
	verb_count = 0
	total = len(tags)
	for word, tag in tags:
		if tag["pos"][0] == "V":
			verb_count += 1
	
	return verb_count / total


with open("data/names.txt") as inf:
	names = inf.read().split("\n")


def li_contains_neper_global(text, tags):
	"""Überprüft ob ein irgendein Personenname im Text vorkommt"""
	global names
	for word, tag in tags:
		if tag["pos"] == "N":
			if word.upper() in names or ("type" in tag and tag["type"] == "Name"):
				return True
	return False



if __name__ == "__main__":
	import pickle
	import inspect
	import sys

	with open("test.test", "rb") as testfile:
		tags = pickle.load(testfile)
		text = pickle.load(testfile)
	res = []
	functions = [obj for name, obj in inspect.getmembers(sys.modules[__name__]) if inspect.isfunction(obj)]
	for f in functions:
		res.append((f.__name__, f(text, tags)))
	print(text)
	for elem in res:
		print(elem[0], elem[1])