cast state intervals to int

madmom/features/tempo.py

@@ -550,8 +550,8 @@ def process_offline(self, activations, **kwargs):
         path, _ = self.dbn.hmm.viterbi(activations.astype(np.float32))
         intervals = self.dbn.st.state_intervals[path]
         # get the counts of the bins
-        bins = np.bincount(intervals,
-                           minlength=self.dbn.st.intervals.max() + 1)
+        max_intervals = self.dbn.st.intervals.max().astype(np.int)
+        bins = np.bincount(intervals, minlength=max_intervals + 1)
         # truncate everything below the minimum interval of the state space
         bins = bins[self.dbn.st.intervals.min():]
         # build a histogram together with the intervals and return it