print(problem)
story = utils.read_parse(k)
sets = makesets.makesets(story['sentences'])
EF.main(sets, k, a[k], sys.argv[1])
sets = [
x for x in sets if makesets.floatcheck(x[1].num) or x[1].num == 'x'
]
print(sets)
for z in sets:
z[1].details()
if __name__ == "__main__":
#q, a = sys.argv[1:3]
inp = sys.argv[1]
q, a, e = utils.parse_inp(inp)
VERBOSE = False
TRAIN = False
'''
if len(sys.argv)>3:
if sys.argv[3]=='v':
VERBOSE=True
elif sys.argv[3]=='t':
TRAIN = True
OUT = sys.argv[4]
'''
# q = q[-10:]
# a = a[-10:]
make_eq(q, a, VERBOSE, TRAIN)
# This code splits a dataset of the form:
# Question
# Equation
# Answer
# into 5 randomly split folds in the data directory
import sys
import random
import utils
if __name__ == '__main__':
q, aas, ees = utils.parse_inp(sys.argv[1])
idx = list(range(len(q)))
random.shuffle(idx)
fold = len(q) // 5
for i in range(4):
fn = "data/indexes-1-fold-" + str(i) + ".txt"
thisfold = idx[i * fold: (i + 1) * fold]
with open(fn, 'w') as f:
for x in thisfold:
f.write(str(x + 1) + "\n")
lastfold = idx[(i + 1) * fold:]
fn = "data/indexes-1-fold-" + str(i + 1) + ".txt"
with open(fn, 'w') as f:
for x in lastfold:
f.write(str(x + 1) + "\n")
compound = [substr]+compound[3:]
if True:
p, op, e = subeq
p = objs[p]
e = objs[e]
op = op.strip()
trips.append((op, p, e))
pute = (0, makesets.combine(p[1], e[1], op))
objs[substr] = pute
if pute == -1:
exit()
t = training(trips, problem, story, target)
for op in t:
bigtexamples[op][0].extend(t[op][0])
bigtexamples[op][1].extend(t[op][1])
with open('data/' + sys.argv[1][-1] + ".local.training", 'wb') as f:
pickle.dump(bigtexamples, f)
eqsdir = "ILP.out"
if __name__ == "__main__":
#q, a = sys.argv[1:3]
inp = sys.argv[1]
#eqsdir = sys.argv[2]
makesets.FOLD = sys.argv[1][-1]
q, a, e = utils.parse_inp(inp)
make_eq(q, a, e)
return sets
def bug():
print("bug")
ip = 0
while ip == 0:
inp = input()
if inp == 0:
ip = 1
else:
exec(inp)
if __name__ == "__main__":
q, a, e = utils.parse_inp(sys.argv[1])
wps = q
while True:
for i in range(len(q)):
print(i, q[i])
k = input()
k = int(k)
problem = wps[k].lower()
print(problem)
story = utils.parse_stanford_nlp(problem)
sets = makesets(story["sentences"])
for s in sets:
s[1].details()
input()
return sets
def bug():
print("bug")
ip = 0
while ip == 0:
inp = input()
if inp == 0:
ip = 1
else:
exec(inp)
if __name__ == "__main__":
q, a, e = utils.parse_inp(sys.argv[1])
wps = q
while True:
for i in range(len(q)):
print(i, q[i])
k = input()
k = int(k)
problem = wps[k].lower()
print(problem)
story = utils.parse_stanford_nlp(problem)
sets = makesets(story["sentences"])
for s in sets:
s[1].details()
input()