code: Several fixes

code/lib/lmdk_lib.py

@@ -189,8 +189,10 @@ def get_hist(seq, lmdks):
   #   lmdks_rel = np.append(lmdks_rel, end)
 
   # Dealing with zeros.
-  if len(seq) == 0 or len(lmdks) == 0:
+  if len(seq) == 0:
     return np.zeros(math.ceil(max(seq))), 1
+  elif len(lmdks) == 0:
+    return np.zeros(1), len(seq)
 
   # Interquartile range (IQR) is a measure of statistical dispersion, being equal to the difference between 75th and 25th percentiles, or between upper and lower quartiles.
   # https://en.wikipedia.org/wiki/Interquartile_range

code/lib/lmdk_sel.py

@@ -406,7 +406,7 @@ def find_lmdks_eps(seq, lmdks, epsilon):
   '''
   # The new landmarks
   lmdks_new = lmdks
-  if len(lmdks) > 0 and len(seq) != len(lmdks):
+  if len(seq) != len(lmdks):
     # Get landmarks timestamps in sequence
     lmdks_seq = find_lmdks_seq(seq, lmdks)
     # Turn landmarks to histogram
@@ -426,7 +426,7 @@ def find_lmdks_eps(seq, lmdks, epsilon):
       # Already landmarks
       lmdks_seq_pt = lmdks_seq[(lmdks_seq >= pt[0]) & (lmdks_seq <= pt[1])]
       # Sample randomly from the rest of the sequence
-      size = hist_new[i] - len(lmdks_seq_pt)
+      size = int(hist_new[i] - len(lmdks_seq_pt))
       rglr = np.setdiff1d(np.arange(pt[0], pt[1] + 1), lmdks_seq_pt)
       # Add already landmarks
       lmdks_seq_new = np.concatenate([lmdks_seq_new, lmdks_seq_pt])