New fixed_unigram_candidate_sampler() still requires work.

src/triacontagon/sampling.py

@@ -21,7 +21,7 @@ from itertools import product, \
 from functools import reduce
 
 
-def fixed_unigram_candidate_sampler(
+def fixed_unigram_candidate_sampler_new(
     true_classes: torch.Tensor,
     num_repeats: torch.Tensor,
     unigrams: torch.Tensor,
@@ -57,6 +57,8 @@ def fixed_unigram_candidate_sampler(
     result = torch.zeros(len(indices), dtype=torch.long)
 
     while len(indices) > 0:
+        print(len(indices))
+
         candidates = torch.utils.data.WeightedRandomSampler(unigrams, len(indices))
         candidates = torch.tensor(list(candidates)).view(-1, 1)
 
@@ -73,6 +75,7 @@ def fixed_unigram_candidate_sampler(
         can_cum = cumcount(candidates[:, 0])
         ind_cum = cumcount(indices[:, 1])
         repeated = (can_cum > 0) & (ind_cum > 0)
+        # TODO: this is wrong, still requires work
 
         mask = mask | repeated
 
@@ -138,7 +141,7 @@ def fixed_unigram_candidate_sampler_slow(
     return torch.tensor(res)
 
 
-def fixed_unigram_candidate_sampler_old(
+def fixed_unigram_candidate_sampler(
     true_classes: torch.Tensor,
     num_repeats: torch.Tensor,
     unigrams: torch.Tensor,