def P(self, word):
"Probability of `word`."
return wf(word, 'en')
def WORDS(self, word):
if wf(word, 'en') >= 1.0e-07: #len(wn.synsets(word))>0:
return (True)
else:
return (False)
from wordfreq import word_frequency as wf
print(wf("beef", "en"))
def candidateGen(self,textList):
city=[]
state=[]
country=[]
geo=self.geo
for textItem in textList:
for item in textItem:
if item in geo.stateDeAbbr:
state.append([item,float(1)])
country.append(['united states',float(0.5)])
if item.lower() in geo.stateAbbr:
state.append([geo.stateAbbr[item.lower()],float(0.5)])
country.append(['united states',float(0.5)])
if item in geo.iso2DeAbbr:
cand=geo.iso2DeAbbr[item]
country.append([cand,float(1)])
if item in geo.iso3DeAbbr:
cand=geo.iso3DeAbbr[item]
country.append([cand,float(1)])
#
if item in geo.fipDeAbbr:
country.append([geo.fipDeAbbr[item],float(1)])
if item.lower() in geo.fipAbbr:
c = geo.fipAbbr[item.lower()]
country.append([geo.fipDeAbbr[c],float(1)])
if item.lower() in geo.MLCountry and geo.MLCountry[item.lower()] in geo.fipDeAbbr:
c=geo.fipDeAbbr[geo.MLCountry[item.lower()]]
country.append([c,float(1)])
if item.lower() in geo.cityInState:
city.append([item.lower(),float(1)])
s={}
t=0
for i in geo.cityInState[item.lower()]:
s[i]=float(geo.cityNState[i][item.lower()])
t=t+float(geo.cityNState[i][item.lower()])
for i in geo.cityInState[item.lower()]:
state.append([i,s[i]/t])
country.append(['united states',float(0.5)])
#state.append([i,/float(geo.totalCityNState)])
if item.lower() in geo.cityInFIP:
if wf(item.lower(),'en')>0:
city.append([item.lower(),float(1)])
c={}
t=0
for i in geo.cityInFIP[item.lower()]:
if i in geo.fipDeAbbr and i in geo.cityNCountry and item.lower() in geo.cityNCountry[i]:
c[i]=math.log(1/wf(item.lower(),'en'))*float(geo.cityNCountry[i][item.lower()])
t=t+math.log(1/wf(item.lower(),'en'))*float(geo.cityNCountry[i][item.lower()])
for i in geo.cityInFIP[item.lower()]:
if i in geo.fipDeAbbr and i in c:
country.append([geo.fipDeAbbr[i],c[i]/t])
candidateCity={}
candidateState={}
candidateCountry={}
for c in city:
if c[0] not in candidateCity:
candidateCity[c[0]]=0
candidateCity[c[0]]=candidateCity[c[0]]+c[1]
for s in state:
if s[0] not in candidateState:
candidateState[s[0]]=0
candidateState[s[0]]=candidateState[s[0]]+s[1]
for c in country:
if c[0] not in candidateCountry:
candidateCountry[c[0]]=0
candidateCountry[c[0]]=candidateCountry[c[0]]+c[1]
#print(candidateCity,candidateState,candidateCountry)
return(self.candidateResolution(candidateCity,candidateState,candidateCountry))
password=""
)
done=dict()
startTime=t.time()
while True:
for submission in reddit.subreddit("india").new(limit=300):
string=submission.title
if string not in done:
done[string]=True
arr=[i for i in string.split(' ')]
arr=sorted(arr, key=len, reverse=True)
print(arr)
comment=""
for i in arr:
print(i)
usage=wf(i,"en")
if (usage<0.00003 and usage!=0) or len(i)>7:
x=findMeaning(i)
if x!=None:
comment+=x+"\n"
if comment!="":
print("reply sent")
submission.reply("[A Real user's application that autogenerates synonyms of some words] \n\n"+comment)
print("[A Real user's application that autogenerates synonyms of some words] \n\n" +comment)
if t.time-startTime>86400:
done=dict()
startTime=t.time()
print(findMeaning("Inadvertently"))