def test_predict__french__english(french, english):
test = (
"It is a truth universally acknowledged, that a single man in "
"possession of a good fortune, must be in want of a wife.",
"All happy families are alike; each unhappy family is unhappy in its "
"own way.",
"It was a bright cold day in April, and the clocks were striking "
"thirteen.",
"All children, except one, grow up.",
"It was inevitable: the scent of bitter almonds always reminded him "
"of the fate of unrequited love.",
"Mother died today. Or maybe, yesterday; I can't be sure.",
"All this happened, more or less.",
"What are men to rocks and mountains?",
"And so we beat on, boats against the current, borne back ceaselessly "
"into the past.",
"You have brains in your head. You have feet in your shoes. You can "
"steer yourself any direction you choose. You're on your own. And you "
"know what you know. And YOU are the one who'll decide where to go...",
"All that is gold does not glitter, Not all those who wander are "
"lost; The old that is strong does not wither, Deep roots are not "
"reached by the frost.",
)
predict_english = create_model(*english)
predict_french = create_model(*french)
print([predict_french(t) for t in test])
print([predict_english(t) for t in test])
result = [
1 - min(1, exp(predict_english(t)[0] - predict_french(t)[0]))
for t in test
]
for r in result:
assert r < 0.95
def test_predict__english__french(english, french):
test = (
"Aujourd'hui, maman est morte. Ou peut-être hier, je ne sais pas. "
"J'ai reçu un télégramme de l'asile : « Mère décédée. Enterrement "
"demain. Sentiments distingués. » Cela ne veut rien dire. C'était "
"peut-être hier.",
"Lolita, lumière de ma vie, feu de mes reins. Mon péché, mon âme. "
"Lo-li-ta : le bout de la langue fait trois petits bonds le long du "
"palais pour venir, à trois, cogner contre les dents. Lo. Li. Ta. "
"Elle était Lo le matin, Lo tout court, un mètre quarante-huit en "
"chaussettes, debout sur un seul pied. Elle était Lola en pantalon. "
"Elle était Dolly à l'école. Elle était Dolorès sur le pointillé des "
"formulaires. Mais dans mes bras, c'était toujours Lolita.",
"Me voici donc seul sur la terre, n'ayant plus de frère, de prochain, "
"d'ami, de société que moi-même.",
"J’avais vingt ans. Je ne laisserai personne dire que c’est le plus "
"bel âge de la vie.",
"Les familles heureuses se ressemblent toutes; les familles "
"malheureuses sont malheureuses chacune à leur façon.",
"Je cherchais un endroit tranquille où mourir.",
)
predict_english = create_model(*english)
predict_french = create_model(*french)
result = [
1 - min(1, exp(predict_french(t)[0] - predict_english(t)[0]))
for t in test
]
for r in result:
assert r < 0.95
def test_predict__english__random(english):
test = tuple("".join(
random.choice([" "] + list(string.ascii_letters))
for _ in range(random.randint(5, 50))) for _ in range(10))
predict = create_model(*english)
result = [1 - min(1, exp(-sub(*predict(t)))) for t in test]
for r in result:
assert r < 0.95
def test_create_model(english, french):
predict = create_model(*english)
predict = create_model(*french)
