####################
+class ProblemLenId(Problem):
+ def __init__(self, nb_sentences=100, len_max=5):
+ self.len_max = len_max
+
+ def generate_sequences(self, nb):
+ k = torch.arange(self.len_max * 3 + 3)[None, :]
+ l = torch.randint(self.len_max, (2, nb))[:, :, None] + 1
+ i = torch.randint(10, (2, nb))[:, :, None]
+ a = l[0]
+ b = l[0] + 1 + l[1]
+ c = l[0] + 1 + l[1] + 1 + l[0]
+ sequences = (
+ (k < a) * i[0]
+ + (k == a) * 10
+ + (k > a) * (k < b) * i[1]
+ + (k == b) * 11
+ + (k > b) * (k < c) * i[1]
+ + (k == c) * 12
+ + (k > c) * 13
+ )
+ ar_mask = (sequences == 11).long()
+ ar_mask = (ar_mask.cumsum(1) - ar_mask).clamp(max=1)
+ return sequences, ar_mask
+
+ def seq2str(self, seq):
+ return "".join("0123456789|>.?"[x.item()] for x in seq)
+
+
+####################
+
+
class ProblemLevel0(Problem):
def __init__(self, nb_sentences=100, len_prompt=5, len_result=5):
self.seq = torch.randint(10, (nb_sentences, len_prompt + 1 + len_result))
ar_mask = (ar_mask.cumsum(1) - ar_mask).clamp(max=1)
return sequences, ar_mask
+ def seq2str(self, seq):
+ return "".join("0123456789|"[x.item()] for x in seq)
+
+
+####################
+
class ProblemLevel1(Problem):
def __init__(self, nb_operators=100, len_source=5, len_result=8):
return "".join("0123456789|>"[x.item()] for x in seq)
+####################
+
+
class ProblemLevel2(Problem):
def __init__(self, len_source=5, len_result=8):
self.len_source = len_source