def test_dame_namsor_gender_list(self):
dn = DameNamsor()
gl = dn.gender_list(path="files/names/partial.csv")
self.assertEqual(
gl,
[1, 1, 1, 1, 2, 1, 0, 0, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1])
self.assertEqual(len(gl), 21)
self.assertEqual(dn.females, 3)
self.assertEqual(dn.males, 16)
self.assertEqual(dn.unknown, 2)
def test_dame_namsor_gender_list_method_returns_correct_result(self):
g = DameNamsor()
gl = g.gender_list()
self.assertEqual(
gl,
[1, 1, 1, 1, 2, 1, 0, 0, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1])
self.assertEqual(len(gl), 21)
self.assertEqual(g.females, 3)
self.assertEqual(g.males, 16)
self.assertEqual(g.unknown, 2)
from app.dame_genderapi import DameGenderApi
from app.dame_nameapi import DameNameapi
from app.dame_customsearch import DameCustomsearch
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--csv', default="files/names/min.csv")
parser.add_argument('--api', default="damegender", choices=['customsearch', 'namsor', 'genderize', 'genderguesser', 'damegender', 'genderapi', 'nameapi'])
parser.add_argument('--ml', default="nltk", choices=['nltk', 'svc', 'sgd', 'gaussianNB', 'multinomialNB', 'bernoulliNB'])
args = parser.parse_args()
if (args.api == "all"):
dn = DameNamsor()
print("################### Namsor!!")
gl = dn.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = dn.guess_list(path=args.csv, binary=True)
print("Guess list: " +str(sl))
namsor_accuracy = dn.accuracy_score_dame(gl, sl)
#print(dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 1, 1]))
#namsor_accuracy = dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
print("Namsor accuracy: %s" % namsor_accuracy)
dg = DameGenderize()
print("################### Genderize!!")
gl = dg.gender_list(path=args.csv)
print("Gender list: " + str(gl))
