def winner_text(factsys, data, win):
factsys.grammar.embed("G")
import G
name = G.pnameName(pname(win))
priz = factsys.str2exp("Prize", win.prize)
cit = cname(factsys, win.city)
countr = cname(factsys, win.country)
doc = G.OneSentenceDoc(
G.ContinuousPastFactSentence( ## for Ger
G.ActFact(G.NameObject(name),
G.winPrizeDateAct(priz, string_year(win.year)))))
doc = G.AddSentenceDoc(
doc,
G.ContinuousPastFactSentence(
G.ActFact(G.PronObject(name),
G.bornAct(string_year(win.born), cit, countr))))
if len(win) > 7 and win.dead:
try:
fname = G.pnameName(pname(win, just_family=True))
doc = G.AddSentenceDoc(
doc,
G.PunctualPastFactSentence(
G.ActFact(G.NameObject(fname),
G.dieAct(string_year(win.dead)))))
except:
pass
## print(doc)
return doc, name, priz
def nobel_texts(factsys, data):
factsys.grammar.embed("G")
import G
def first_woman(p):
return min(filter(lambda w: w.sex == 'female' and w.prize == p, data),
key=lambda d: int(d.year[:4])).winner
def youngest(p):
return min(filter(lambda w: w.prize == p, data),
key=lambda d: int(d.year[:4]) - int(d.born[:4])).winner
docs = []
for win in data:
doc, name, priz = winner_text(factsys, data, win)
if win.winner == first_woman(win.prize):
doc = G.AddSentenceDoc(
doc,
G.ContinuousPastFactSentence(
G.FirstInKindFact(
G.NameObject(name),
G.ModifierKind(
G.woman_Kind,
G.PunctualPastActModifier(G.winPrizeAct(priz))))))
if win.winner == youngest(win.prize):
if win.sex == 'female':
winnerOf = G.femaleWinnerOfPrizeKind
else:
winnerOf = G.maleWinnerOfPrizeKind
doc = G.AddSentenceDoc(
doc,
G.ContinuousPastFactSentence(
G.YoungestInKindFact(G.PronObject(name), winnerOf(priz))))
docs.append(doc)
return docs
