def test_dame_namsor_get_method_returns_correct_result(self):
g = DameNamsor()
self.assertEqual(['male', -1.0], g.get("David", "Arroyo",
binary=False))
self.assertEqual(['male', -1.0], g.get("David", "Arroyo", binary=True))
self.assertEqual(['female', 1.0], g.get("Karen", "Arroyo",
binary=True))
def average(self, name, surname):
r = 0
count = 0
avg = 0
dgg = DameGenderGuesser()
guess1 = int(dgg.guess(name, binary="True"))
if (guess1 != 2):
r = r + guess1
count = count + 1
if (self.config['DEFAULT']['genderapi'] == 'yes'):
dga = DameGenderApi()
guess2 = int(dga.guess(name, binary="True"))
if (guess2 != 2):
r = r + guess2
count = count + 1
if (self.config['DEFAULT']['genderize'] == 'yes'):
dg = DameGenderize()
guess3 = int(dg.guess(name, binary="True"))
if (guess3 != 2):
r = r + guess3
count = count + 1
if (self.config['DEFAULT']['namsor'] == 'yes'):
dn = DameNamsor()
guess4 = int(dn.guess(str(name), str(surname), binary="True"))
if (guess4 != 2):
r = r + guess4
count = count + 1
avg = r / count
return avg
def test_dame_namsor_accuracy_score_dame(self):
dn = DameNamsor()
score1 = dn.accuracy_score_dame([1, 1], [1, 1])
self.assertEqual(score1, 1)
score2 = dn.accuracy_score_dame([1, 1, 1, 0], [1, 1, 2, 0])
self.assertEqual(score2, 0.75)
score3 = dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
self.assertEqual(score3, 1)
def test_dame_namsor_json2guess_list(self):
dn = DameNamsor()
j2gl = dn.json2guess_list(
jsonf="files/names/namsorfiles_names_min.csv.json", binary=False)
self.assertEqual(['male', 'male', 'male', 'male', 'male', 'female'],
j2gl)
j2gl = dn.json2guess_list(
jsonf="files/names/namsorfiles_names_min.csv.json", binary=True)
self.assertEqual([1, 1, 1, 1, 1, 0], j2gl)
def test_dame_namsor_accuracy_score_dame_method_returns_correct_result(
self):
g = DameNamsor()
score1 = g.accuracy_score_dame([1, 1], [1, 1])
self.assertEqual(score1, 1)
score2 = g.accuracy_score_dame([1, 1, 1, 0], [1, 1, 2, 0])
self.assertEqual(score2, 0.75)
score3 = g.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
self.assertEqual(score3, 1)
def test_dame_namsor_get(self):
dn = DameNamsor()
if (dn.config['DEFAULT']['namsor'] == 'yes'):
l1 = dn.get("David", "Arroyo", binary=False)
self.assertEqual(['male', -1.0], [l1[0], round(l1[1])])
l2 = dn.get("David", "Arroyo", binary=True)
self.assertEqual(['male', -1.0], [l2[0], round(l2[1])])
l3 = dn.get("Karen", "Arroyo", binary=True)
self.assertEqual(['female', 1.0], [l3[0], round(l3[1])])
def test_dame_namsor_download(self):
dn = DameNamsor()
du = DameUtils()
path1 = "files/names/min.csv"
if (dn.config['DEFAULT']['namsor'] == 'yes'):
g = dn.download(path1)
self.assertTrue(
os.path.isfile("files/names/namsor" + du.path2file(path1) +
".json"))
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)
def test_dame_namsor_guess_list_method_returns_correct_result(self):
g = DameNamsor()
self.assertEqual([
'male', 'male', 'male', 'male', 'male', 'male', 'female', 'female',
'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male',
'male', 'male', 'female', 'male', 'male'
], g.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],
g.guess_list(path="files/names/partial.csv", binary=True))
def test_dame_namsor_guess_list(self):
dn = DameNamsor()
if (dn.config['DEFAULT']['namsor'] == 'yes'):
self.assertEqual([
'male', 'male', 'male', 'male', 'male', 'male', 'female',
'female', 'male', 'male', 'male', 'male', 'male', 'male',
'male', 'male', 'male', 'male', 'female', 'male', 'male'
], dn.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
], dn.guess_list(path="files/names/partial.csv", binary=True))
def test_dame_namsor_gender_guess(self):
dn = DameNamsor()
if (dn.config['DEFAULT']['namsor'] == 'yes'):
self.assertEqual(1, dn.guess("David", "Arroyo", binary=True))
self.assertEqual(0, dn.guess("Andrea", "Arroyo", binary=True))
self.assertEqual(1, dn.guess("Asdf", "qwer", binary=True))
def test_dame_namsor_scale(self):
dn = DameNamsor()
if (dn.config['DEFAULT']['namsor'] == 'yes'):
self.assertEqual(-1.0, round(dn.scale("David", "Arroyo")))
def test_dame_namsor_getGeo(self):
dn = DameNamsor()
if (dn.config['DEFAULT']['namsor'] == 'yes'):
l1 = dn.get("David", "Arroyo", binary=False)
self.assertEqual(['male', -1.0], [l1[0], round(l1[1])])
def test_dame_namsor_scale_method_returns_correct_result(self):
g = DameNamsor()
self.assertEqual(-1.0, g.scale("David", "Arroyo"))
def test_dame_namsor_init_method_returns_correct_result(self):
g = DameNamsor()
self.assertEqual(g.males, 0)
self.assertEqual(g.females, 0)
self.assertEqual(g.unknown, 0)
choices=['accuracy', 'precision', 'recall', 'f1score'])
parser.add_argument('--api',
required=True,
choices=[
'customsearch', 'namsor', 'genderize', 'genderguesser',
'damegender', 'genderapi', 'nameapi', 'all'
])
args = parser.parse_args()
du = DameUtils()
if (args.api == "all"):
dg = Gender()
if (dg.config['DEFAULT']['namsor'] == 'yes'):
dn = DameNamsor()
dn.pretty_gg_list(path=args.csv,
jsonf=args.jsondownloaded,
measure=args.measure,
api='Namsor')
if (dg.config['DEFAULT']['genderize'] == 'yes'):
dg = DameGenderize()
dg.pretty_gg_list(path=args.csv,
jsonf=args.jsondownloaded,
measure=args.measure,
api='Genderize')
dgg = DameGenderGuesser()
dgg.pretty_gg_list(path=args.csv,
jsonf=args.jsondownloaded,
def test_dame_namsor_features_list_method_returns_correct_result(self):
g = DameNamsor()
fl = g.features_list()
self.assertTrue(len(fl) > 20)
def test_dame_namsor_features_list(self):
dn = DameNamsor()
fl = dn.features_list()
self.assertTrue(len(fl) > 20)
def test_dame_namsor_json2names(self):
dn = DameNamsor()
l = dn.json2names(jsonf="files/names/namsorfiles_names_min.csv.json")
self.assertEqual(
['Pierre', 'Raul', 'Adriano', 'Ralf', 'Guillermo', 'Sabina'], l)
def test_dame_namsor_init(self):
g = DameNamsor()
self.assertEqual(g.males, 0)
self.assertEqual(g.females, 0)
self.assertEqual(g.unknown, 0)
gl1 = d.gender_list(path=args.csv)
if (os.path.isfile(args.jsondownloaded)):
gl2 = d.json2guess_list(jsonf=args.jsondownloaded, binary=True)
else:
gl2 = d.guess_list(path=args.csv, binary=True)
# gl2 = d.guess_list(path=args.csv, binary=True)
ec = d.error_coded(gl1, gl2)
print("+ The error code: %s" % ec)
ecwa = d.error_coded_without_na(gl1, gl2)
print("+ The error code without na: %s" % ecwa)
naCoded = d.na_coded(gl1, gl2)
print("+ The na coded: %s" % naCoded)
egb = d.error_gender_bias(gl1, gl2)
print("+ The error gender bias: %s" % egb)
elif (args.api == "namsor"):
d = DameNamsor()
print("Namsor with %s has: " % args.csv)
gl1 = d.gender_list(path=args.csv)
if (os.path.isfile(args.jsondownloaded)):
gl2 = d.json2guess_list(jsonf=args.jsondownloaded, binary=True)
else:
gl2 = d.guess_list(path=args.csv, binary=True)
ec = d.error_coded(gl1, gl2)
print("+ The error code: %s" % ec)
ecwa = d.error_coded_without_na(gl1, gl2)
print("+ The error code without na: %s" % ecwa)
naCoded = d.na_coded(gl1, gl2)
print("+ The na coded: %s" % naCoded)
egb = d.error_gender_bias(gl1, gl2)
print("+ The error gender bias: %s" % egb)
def test_dame_namsor_gender_guess_method_returns_correct_result(self):
g = DameNamsor()
self.assertEqual(1, g.guess("David", "Arroyo", binary=True))
self.assertEqual(0, g.guess("Andrea", "Arroyo", binary=True))
self.assertEqual(0, g.guess("Asdf", "qwer", binary=True))
