Update.

[picoclvr.git] / tasks.py

diff --git a/tasks.py b/tasks.py
index 5583fc8..9cd06ae 100755 (executable)
--- a/tasks.py
+++ b/tasks.py
@@ -75,11 +75,12 @@ class ProblemByheart(Problem):
     def __init__(self):
         nb_seq, len_prompt, len_result = 100, 5, 5
         self.seq = torch.randint(10, (nb_seq, len_prompt + 1 + len_result))
-        self.seq[:,len_prompt]=-1
+        self.seq[:, len_prompt] = -1
 
     def generate_sequences(self, nb):
         return self.seq[torch.randint(self.seq.size(0), (nb,))]
 
+
 class SandBox(Task):
     def __init__(
         self,
@@ -93,7 +94,7 @@ class SandBox(Task):
 
         self.batch_size = batch_size
 
-        problems = [ ProblemByheart() ]
+        problems = [ProblemByheart()]
         nb_common_codes = 100
 
         def generate_sequences(nb_samples):
@@ -101,7 +102,7 @@ class SandBox(Task):
             nb_samples_per_problem = torch.one_hot(problem_indexes).sum(0)
             print(f"{nb_samples_per_problem}")
             all_seq = []
-            for nb, p in zip(nb_samples_per_problem,problems):
+            for nb, p in zip(nb_samples_per_problem, problems):
                 all_seq.append(p.generate_sequences(nb_samples_per_problem[nb]))
             return all_seq
 
@@ -109,7 +110,7 @@ class SandBox(Task):
         test_seq = generate_sequences(nb_test_samples)
 
         for strain, stest in zip(train_seq, test_seq):
-            s = torch.cat((strain,stest),0)
+            s = torch.cat((strain, stest), 0)
 
         self.nb_codes = max(self.train_input.max(), self.test_input.max()) + 1