-#if 0
-static unsigned int_log2(uint64_t x)
-{
- unsigned res = 0;
-
- while (x) {
- x /= 2;
- res++;
- }
- return res;
-}
-#endif
-
-static int64_t normalized_value(int64_t x, int64_t n, int64_t sum, int64_t qd)
-{
- if (!n || !qd)
- return 0;
- return 100 * (n * x - sum) / (int64_t)int_sqrt(n * qd);
-}
-
-static long compute_num_played_score(struct afs_info *afsi)
-{
- return -normalized_value(afsi->num_played, statistics.num,
- statistics.num_played_sum, statistics.num_played_qd);
-}
-
-static long compute_last_played_score(struct afs_info *afsi)
-{
- return -normalized_value(afsi->last_played, statistics.num,
- statistics.last_played_sum, statistics.last_played_qd);
-}
-
-static long compute_dynamic_score(const struct osl_row *aft_row)
+/*
+ * The normalized num_played and last_played values are defined as
+ *
+ * nn := -(np - mean_n) / sigma_n and nl := -(lp - mean_l) / sigma_l
+ *
+ * For a (hypothetical) file with np = 0 and lp = now we thus have
+ *
+ * nn = mean_n / sigma_n =: hn > 0
+ * nl = -(now - mean_l) / sigma_l =: hl < 0
+ *
+ * We design the score function so that both contributions get the same
+ * weight. Define the np and lp score of an arbitrary file as
+ *
+ * sn := nn * -hl and sl := nl * hn
+ *
+ * Example:
+ * num_played mean/sigma: 87/14
+ * last_played mean/sigma: 45/32 days
+ *
+ * We have hn = 87 / 14 = 6.21 and hl = -45 / 32 = -1.41. Multiplying
+ * nn of every file with the correction factor 1.41 and nl with
+ * 6.21 makes the weight of the two contributions equal.
+ *
+ * The total score s := sn + sl has the representation
+ *
+ * s = -cn * (np - mean_n) - cl * (lp - mean_l)
+ *
+ * with positive correction factors
+ *
+ * cn = (now - mean_l) / (sqrt(ql) * sqrt(qn) / n)
+ * cl = mean_n / (sqrt(ql) * sqrt(qn) / n)
+ *
+ * where ql and qn are the quadratic deviations stored in the statistics
+ * structure and n is the number of admissible files. To avoid integer
+ * overflows and rounding errors we store the common divisor of the
+ * correction factors separately.
+ */
+static long compute_score(struct afs_info *afsi, long mood_score)