def genderDotCLookup(self,
firstName,
country,
strict=True,
simplified=True):
gender = None
genderCountry = None
country = normaliseCountryName(country)
try:
'''Name in dictionary'''
nameData = self.genderDict[firstName.lower()]
def lab2key(lab):
if lab in ['M', '1M', '?M']:
return 'mmale'
elif lab in ['F', '1F', '?F']:
return 'mfemale'
elif lab == '?':
return 'uni'
d = {}
for lab in ['M', '1M', '?M', 'F', '1F', '?F', '?']:
d[lab2key(lab)] = 0.0
for [mf, frequencies] in nameData:
for idx in range(len(frequencies)):
hexFreq = frequencies[idx]
if len(hexFreq.strip()) == 1:
d[lab2key(mf)] += int(hexFreq, 16)
thr = 256
if d['mmale'] - d['mfemale'] > thr:
gender = 'male'
elif (thr >= d['mmale'] - d['mfemale']) and (d['mmale'] >
d['mfemale']):
gender = 'mostly male'
elif d['mfemale'] - d['mmale'] > thr:
gender = 'female'
elif (thr >= d['mfemale'] - d['mmale']) and (d['mfemale'] >
d['mmale']):
gender = 'mostly female'
else:
gender = 'unisex'
'''Options:
1. I query for an existing name in a known country
2. I query for an existing name in a country other
than the ones I have data for'''
if country in self.countriesOrder.keys():
'''Here I still don't know if I have frequency information
for this name and this country'''
countryData = []
'''[mf, frequencies] mf = M,1M,?M, F,1F,?F, ?, ='''
for [mf, frequencies] in nameData:
f = frequencies[self.countriesOrder[country]]
if len(f.strip()) == 1:
'''The name exists for that country'''
countryData.append([mf, int(f, 16)])
if len(countryData) == 1:
'''The name is known for this country, and so is its gender'''
genderCode = countryData[0][0]
if genderCode == 'M':
genderCountry = "male"
elif genderCode in ['1M', '?M']:
genderCountry = "mostly male"
elif genderCode == 'F':
genderCountry = "female"
elif genderCode in ['1F', '?F']:
genderCountry = "mostly female"
elif genderCode == '?':
genderCountry = "unisex"
except:
gender = None
if strict:
gender = genderCountry
return formatOutput(gender, simplified)
def genderDotCLookup(self, firstName, country, strict=True, simplified=True):
gender = None
genderCountry = None
country = normaliseCountryName(country)
try:
'''Name in dictionary'''
nameData = self.genderDict[firstName.lower()]
def lab2key(lab):
if lab in ['M', '1M', '?M']:
return 'mmale'
elif lab in ['F', '1F', '?F']:
return 'mfemale'
elif lab == '?':
return 'uni'
d = {}
for lab in ['M', '1M', '?M', 'F', '1F', '?F', '?']:
d[lab2key(lab)] = 0.0
for [mf, frequencies] in nameData:
for idx in range(len(frequencies)):
hexFreq = frequencies[idx]
if len(hexFreq.strip()) == 1:
d[lab2key(mf)] += int(hexFreq, 16)
thr = 256
if d['mmale'] - d['mfemale'] > thr:
gender = 'male'
elif (thr >= d['mmale']-d['mfemale']) and (d['mmale'] > d['mfemale']):
gender = 'mostly male'
elif d['mfemale'] - d['mmale'] > thr:
gender = 'female'
elif (thr >= d['mfemale']-d['mmale']) and (d['mfemale'] > d['mmale']):
gender = 'mostly female'
else:
gender = 'unisex'
'''Options:
1. I query for an existing name in a known country
2. I query for an existing name in a country other
than the ones I have data for'''
if country in self.countriesOrder.keys():
'''Here I still don't know if I have frequency information
for this name and this country'''
countryData = []
'''[mf, frequencies] mf = M,1M,?M, F,1F,?F, ?, ='''
for [mf, frequencies] in nameData:
f = frequencies[self.countriesOrder[country]]
if len(f.strip()) == 1:
'''The name exists for that country'''
countryData.append([mf, int(f, 16)])
if len(countryData) == 1:
'''The name is known for this country, and so is its gender'''
genderCode = countryData[0][0]
if genderCode == 'M':
genderCountry = "male"
elif genderCode in ['1M', '?M']:
genderCountry = "mostly male"
elif genderCode == 'F':
genderCountry = "female"
elif genderCode in ['1F', '?F']:
genderCountry = "mostly female"
elif genderCode == '?':
genderCountry = "unisex"
except:
gender = None
if strict:
gender = genderCountry
return formatOutput(gender, simplified)