def test_dame_gender_guess_list(self):
ds = DameSexmachine()
self.assertEqual([
'male', 'male', 'male', 'male', 'male', 'male', 'female', 'female',
'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male',
'male', 'male', 'female', 'male', 'male'
], ds.guess_list(path="files/names/partial.csv", binary=False))
self.assertEqual(
[1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1],
ds.guess_list(path="files/names/partial.csv",
binary=True,
ml="nltk"))
def test_dame_sexmachine_guess_list_method_returns_correct_result(self):
ds = DameSexmachine()
self.assertEqual(['male', 'male', 'male', 'male', 'female', 'male', 'female', 'female', 'male', 'male', 'male', 'male', 'male', 'male', 'female', 'male', 'male', 'male', 'female', 'male', 'male'], ds.guess_list(path="files/names/partial.csv", binary=False))
self.assertEqual([1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1], ds.guess_list(path="files/names/partial.csv",binary=True))
self.assertEqual([1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1], ds.guess_list(path="files/names/partial.csv",binary=True, ml="nltk"))
# sgd_model = ds.sgd_load()
# self.assertEqual([0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0], ds.guess_list(path="files/names/partial.csv",binary=True, ml="sgd"))
svc_model = ds.svc_load()
self.assertEqual([1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1], ds.guess_list(path="files/names/partial.csv",binary=True, ml="svc"))
parser.add_argument('--notoutput', default=False, action="store_true")
parser.add_argument('--jsonoutput',
type=str,
default="files/names/out.json",
required=False,
help="files/names/out.json")
parser.add_argument('--ml',
default="nltk",
choices=[
'nltk', 'svc', 'sgd', 'gaussianNB', 'multinomialNB',
'bernoulliNB', 'tree', 'mlp', 'adaboost'
])
args = parser.parse_args()
ds = DameSexmachine()
if args.notoutput:
gl = ds.gender_list(path=args.csv)
sl = ds.guess_list(path=args.csv, binary=args.binary, ml=args.ml)
else:
print("################### Dame Gender!!")
gl = ds.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = ds.guess_list(path=args.csv, binary=args.binary, ml=args.ml)
print("Guess list: " + str(sl))
if (args.jsonoutput == ""):
ds.csv2json(path=args.csv, l=gl, jsonf=args.csv + ".gender.json")
ds.csv2json(path=args.csv, l=sl, jsonf=args.csv + ".guess.json")
else:
ds.csv2json(path=args.csv, l=sl, jsonf=args.jsonoutput)
dgg = DameGenderGuesser()
print("################### GenderGuesser!!")
gl = dgg.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = dgg.guess_list(path=args.csv, binary=True)
print("Guess list: " +str(sl))
genderguesser_accuracy = dgg.accuracy_score_dame(gl,sl)
print("GenderGuesser accuracy: %s" % genderguesser_accuracy)
ds = DameSexmachine()
print("################### Dame Gender!!")
gl = ds.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = ds.guess_list(path=args.csv, binary=True)
print("Guess list: " +str(sl))
sexmachine_accuracy = ds.accuracy_score_dame(gl,sl)
print("Sexmachine accuracy: %s" % sexmachine_accuracy)
dga = DameGenderApi()
print("################### GenderApi!!")
gl = dga.gender_list(pat=args.csv)
print("Gender list: " + str(gl))
dna = DameNameapi()
print("################### Nameapi!!")
gl = dna.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = dna.guess_list(path=args.csv, binary=True)
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--csv', default="files/names/min.csv")
parser.add_argument('--api', default="damegender", choices=['damegender', 'namsor', 'genderize', 'genderguesser', 'genderapi', 'nameapi'])
args = parser.parse_args()
#print(args.csv)
if (args.api == "damegender"):
dn = DameSexmachine()
print("Damegender with %s has: " % args.csv)
gl1 = dn.gender_list(path=args.csv)
gl2 = dn.guess_list(path=args.csv, binary=True)
ec = dn.error_coded(gl1, gl2)
print("+ The error code: %s" % ec)
ecwa = dn.error_coded_without_na(gl1, gl2)
print("+ The error code without na: %s" % ecwa)
naCoded = dn.na_coded(gl1, gl2)
print("+ The na coded: %s" % naCoded)
egb = dn.error_gender_bias(gl1, gl2)
print("+ The error gender bias: %s" % egb)
elif (args.api == "genderize"):
dn = DameGenderize()
print("Genderize with %s has: " % args.csv)
gl1 = dn.gender_list(path=args.csv)
gl2 = dn.guess_list(path=args.csv, binary=True)
ec = dn.error_coded(gl1, gl2)
print("+ The error code: %s" % ec)
