Likelihood not converging

Hi,
I am trying to run one of the examples (nytimes.sh). I have modified only the number of local workers (set to 6) and I launched the script out of the box.
It works, but the likelihood does not seem to converge like in the WWW'15 paper. Doc likelihood seems to be fine, word likelihood is positive and it increases, while Normalized likelihood does not move so much.
[INFO] [2015-11-26 18:54:21] Rank 0/1: Begin of configuration and initialization.
[INFO] [2015-11-26 18:54:36] Rank 0/1: End of configration and initialization.
[INFO] [2015-11-26 18:54:36] Rank 0/1: Begin of training.
[DEBUG] [2015-11-26 18:54:36] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:54:38] Rank = 0, Iter = 0, Block = 0, Slice = 0
[INFO] [2015-11-26 18:54:38] Rank = 0, Alias Time used: 2.29 s
[INFO] [2015-11-26 18:55:10] Rank = 0, Training Time used: 198.78 s
[INFO] [2015-11-26 18:55:10] Rank = 0, sampling throughput: 83392.330586 (tokens/thread/sec)
[INFO] [2015-11-26 18:55:17] doc likelihood : -6.422044e+08
[INFO] [2015-11-26 18:55:18] word likelihood : 5.328907e+08
[INFO] [2015-11-26 18:55:18] Normalized likelihood : -1.561648e+09
[INFO] [2015-11-26 18:55:18] Rank = 0, Evaluation Time used: 37.24 s
[DEBUG] [2015-11-26 18:55:18] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:55:21] Rank = 0, Iter = 1, Block = 0, Slice = 0
[INFO] [2015-11-26 18:55:22] Rank = 0, Alias Time used: 2.57 s
[INFO] [2015-11-26 18:55:50] Rank = 0, Training Time used: 172.52 s
[INFO] [2015-11-26 18:55:50] Rank = 0, sampling throughput: 96088.618782 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:55:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:56:02] Rank = 0, Iter = 2, Block = 0, Slice = 0
[INFO] [2015-11-26 18:56:03] Rank = 0, Alias Time used: 3.10 s
[INFO] [2015-11-26 18:56:32] Rank = 0, Training Time used: 177.80 s
[INFO] [2015-11-26 18:56:32] Rank = 0, sampling throughput: 93233.830746 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:56:32] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:56:40] Rank = 0, Iter = 3, Block = 0, Slice = 0
[INFO] [2015-11-26 18:56:40] Rank = 0, Alias Time used: 2.44 s
[INFO] [2015-11-26 18:57:10] Rank = 0, Training Time used: 174.81 s
[INFO] [2015-11-26 18:57:10] Rank = 0, sampling throughput: 94764.054198 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:57:11] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:57:19] Rank = 0, Iter = 4, Block = 0, Slice = 0
[INFO] [2015-11-26 18:57:20] Rank = 0, Alias Time used: 2.61 s
[INFO] [2015-11-26 18:57:52] Rank = 0, Training Time used: 182.20 s
[INFO] [2015-11-26 18:57:52] Rank = 0, sampling throughput: 90941.209369 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:57:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:58:00] Rank = 0, Iter = 5, Block = 0, Slice = 0
[INFO] [2015-11-26 18:58:00] Rank = 0, Alias Time used: 2.44 s
[INFO] [2015-11-26 18:58:29] Rank = 0, Training Time used: 176.67 s
[INFO] [2015-11-26 18:58:29] Rank = 0, sampling throughput: 93767.307385 (tokens/thread/sec)
[INFO] [2015-11-26 18:58:36] doc likelihood : -6.044065e+08
[INFO] [2015-11-26 18:58:37] word likelihood : 5.660771e+08
[INFO] [2015-11-26 18:58:37] Normalized likelihood : -1.562606e+09
[INFO] [2015-11-26 18:58:37] Rank = 0, Evaluation Time used: 40.60 s
[DEBUG] [2015-11-26 18:58:37] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:58:41] Rank = 0, Iter = 6, Block = 0, Slice = 0
[INFO] [2015-11-26 18:58:41] Rank = 0, Alias Time used: 2.54 s
[INFO] [2015-11-26 18:59:11] Rank = 0, Training Time used: 175.08 s
[INFO] [2015-11-26 18:59:11] Rank = 0, sampling throughput: 94682.829457 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:59:11] Request params. start = 0, end = 101635
[INFO] [2015-11-26 18:59:21] Rank = 0, Iter = 7, Block = 0, Slice = 0
[INFO] [2015-11-26 18:59:22] Rank = 0, Alias Time used: 2.50 s
[INFO] [2015-11-26 18:59:51] Rank = 0, Training Time used: 174.15 s
[INFO] [2015-11-26 18:59:51] Rank = 0, sampling throughput: 95190.270547 (tokens/thread/sec)
[DEBUG] [2015-11-26 18:59:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:00:00] Rank = 0, Iter = 8, Block = 0, Slice = 0
[INFO] [2015-11-26 19:00:00] Rank = 0, Alias Time used: 2.70 s
[INFO] [2015-11-26 19:00:30] Rank = 0, Training Time used: 179.12 s
[INFO] [2015-11-26 19:00:30] Rank = 0, sampling throughput: 92546.646382 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:00:30] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:00:39] Rank = 0, Iter = 9, Block = 0, Slice = 0
[INFO] [2015-11-26 19:00:39] Rank = 0, Alias Time used: 2.28 s
[INFO] [2015-11-26 19:01:06] Rank = 0, Training Time used: 164.11 s
[INFO] [2015-11-26 19:01:06] Rank = 0, sampling throughput:<PHONE_NUMBER>56 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:01:10] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:01:15] Rank = 0, Iter = 10, Block = 0, Slice = 0
[INFO] [2015-11-26 19:01:16] Rank = 0, Alias Time used: 2.15 s
[INFO] [2015-11-26 19:01:40] Rank = 0, Training Time used: 143.45 s
[INFO] [2015-11-26 19:01:40] Rank = 0, sampling throughput:<PHONE_NUMBER>82 (tokens/thread/sec)
[INFO] [2015-11-26 19:01:52] doc likelihood : -5.938570e+08
[INFO] [2015-11-26 19:01:53] word likelihood : 5.854258e+08
[INFO] [2015-11-26 19:01:53] Normalized likelihood : -1.564632e+09
[INFO] [2015-11-26 19:01:53] Rank = 0, Evaluation Time used: 74.25 s
[DEBUG] [2015-11-26 19:01:53] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:01:55] Rank = 0, Iter = 11, Block = 0, Slice = 0
[INFO] [2015-11-26 19:01:55] Rank = 0, Alias Time used: 2.05 s
[INFO] [2015-11-26 19:02:25] Rank = 0, Training Time used: 176.92 s
[INFO] [2015-11-26 19:02:25] Rank = 0, sampling throughput: 93695.741097 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:02:26] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:02:35] Rank = 0, Iter = 12, Block = 0, Slice = 0
[INFO] [2015-11-26 19:02:36] Rank = 0, Alias Time used: 2.25 s
[INFO] [2015-11-26 19:03:05] Rank = 0, Training Time used: 174.86 s
[INFO] [2015-11-26 19:03:05] Rank = 0, sampling throughput: 94802.995521 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:03:05] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:03:11] Rank = 0, Iter = 13, Block = 0, Slice = 0
[INFO] [2015-11-26 19:03:12] Rank = 0, Alias Time used: 2.10 s
[INFO] [2015-11-26 19:03:40] Rank = 0, Training Time used: 170.69 s
[INFO] [2015-11-26 19:03:40] Rank = 0, sampling throughput: 97116.254759 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:03:41] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:03:48] Rank = 0, Iter = 14, Block = 0, Slice = 0
[INFO] [2015-11-26 19:03:49] Rank = 0, Alias Time used: 2.44 s
[INFO] [2015-11-26 19:04:16] Rank = 0, Training Time used: 165.70 s
[INFO] [2015-11-26 19:04:16] Rank = 0, sampling throughput: 99987.432960 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:04:19] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:04:26] Rank = 0, Iter = 15, Block = 0, Slice = 0
[INFO] [2015-11-26 19:04:27] Rank = 0, Alias Time used: 2.42 s
[INFO] [2015-11-26 19:04:55] Rank = 0, Training Time used: 169.51 s
[INFO] [2015-11-26 19:04:55] Rank = 0, sampling throughput: 97792.991463 (tokens/thread/sec)
[INFO] [2015-11-26 19:05:00] doc likelihood : -5.767895e+08
[INFO] [2015-11-26 19:05:01] word likelihood : 6.065751e+08
[INFO] [2015-11-26 19:05:01] Normalized likelihood : -1.567653e+09
[INFO] [2015-11-26 19:05:01] Rank = 0, Evaluation Time used: 34.50 s
[DEBUG] [2015-11-26 19:05:01] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:05:07] Rank = 0, Iter = 16, Block = 0, Slice = 0
[INFO] [2015-11-26 19:05:08] Rank = 0, Alias Time used: 2.14 s
[INFO] [2015-11-26 19:05:36] Rank = 0, Training Time used: 168.02 s
[INFO] [2015-11-26 19:05:36] Rank = 0, sampling throughput: 98663.274813 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:05:38] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:05:45] Rank = 0, Iter = 17, Block = 0, Slice = 0
[INFO] [2015-11-26 19:05:46] Rank = 0, Alias Time used: 2.00 s
[INFO] [2015-11-26 19:06:14] Rank = 0, Training Time used: 172.06 s
[INFO] [2015-11-26 19:06:14] Rank = 0, sampling throughput: 96346.686169 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:06:14] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:06:22] Rank = 0, Iter = 18, Block = 0, Slice = 0
[INFO] [2015-11-26 19:06:22] Rank = 0, Alias Time used: 1.74 s
[INFO] [2015-11-26 19:06:53] Rank = 0, Training Time used: 183.90 s
[INFO] [2015-11-26 19:06:53] Rank = 0, sampling throughput: 90142.883567 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:06:53] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:06:55] Rank = 0, Iter = 19, Block = 0, Slice = 0
[INFO] [2015-11-26 19:06:56] Rank = 0, Alias Time used: 2.25 s
[INFO] [2015-11-26 19:07:26] Rank = 0, Training Time used: 178.41 s
[INFO] [2015-11-26 19:07:26] Rank = 0, sampling throughput: 92913.800145 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:07:26] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:07:29] Rank = 0, Iter = 20, Block = 0, Slice = 0
[INFO] [2015-11-26 19:07:29] Rank = 0, Alias Time used: 1.88 s
[INFO] [2015-11-26 19:07:52] Rank = 0, Training Time used: 139.02 s
[INFO] [2015-11-26 19:07:52] Rank = 0, sampling throughput:<PHONE_NUMBER>32 (tokens/thread/sec)
[INFO] [2015-11-26 19:08:03] doc likelihood : -5.527261e+08
[INFO] [2015-11-26 19:08:04] word likelihood : 6.345852e+08
[INFO] [2015-11-26 19:08:04] Normalized likelihood : -1.571537e+09
[INFO] [2015-11-26 19:08:04] Rank = 0, Evaluation Time used: 63.24 s
[DEBUG] [2015-11-26 19:08:04] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:08:08] Rank = 0, Iter = 21, Block = 0, Slice = 0
[INFO] [2015-11-26 19:08:09] Rank = 0, Alias Time used: 1.93 s
[INFO] [2015-11-26 19:08:36] Rank = 0, Training Time used: 165.63 s
[INFO] [2015-11-26 19:08:36] Rank = 0, sampling throughput:<PHONE_NUMBER>33 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:08:39] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:08:42] Rank = 0, Iter = 22, Block = 0, Slice = 0
[INFO] [2015-11-26 19:08:43] Rank = 0, Alias Time used: 2.00 s
[INFO] [2015-11-26 19:09:11] Rank = 0, Training Time used: 168.89 s
[INFO] [2015-11-26 19:09:11] Rank = 0, sampling throughput: 98154.747588 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:09:13] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:09:19] Rank = 0, Iter = 23, Block = 0, Slice = 0
[INFO] [2015-11-26 19:09:19] Rank = 0, Alias Time used: 1.59 s
[INFO] [2015-11-26 19:09:45] Rank = 0, Training Time used: 157.25 s
[INFO] [2015-11-26 19:09:45] Rank = 0, sampling throughput:<PHONE_NUMBER>84 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:09:48] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:09:50] Rank = 0, Iter = 24, Block = 0, Slice = 0
[INFO] [2015-11-26 19:09:51] Rank = 0, Alias Time used: 1.74 s
[INFO] [2015-11-26 19:10:18] Rank = 0, Training Time used: 161.92 s
[INFO] [2015-11-26 19:10:18] Rank = 0, sampling throughput:<PHONE_NUMBER>36 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:10:19] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:10:25] Rank = 0, Iter = 25, Block = 0, Slice = 0
[INFO] [2015-11-26 19:10:26] Rank = 0, Alias Time used: 1.84 s
[INFO] [2015-11-26 19:10:52] Rank = 0, Training Time used: 157.57 s
[INFO] [2015-11-26 19:10:52] Rank = 0, sampling throughput:<PHONE_NUMBER>87 (tokens/thread/sec)
[INFO] [2015-11-26 19:10:59] doc likelihood : -5.192143e+08
[INFO] [2015-11-26 19:10:59] word likelihood : 6.688301e+08
[INFO] [2015-11-26 19:10:59] Normalized likelihood : -1.575203e+09
[INFO] [2015-11-26 19:10:59] Rank = 0, Evaluation Time used: 41.75 s
[DEBUG] [2015-11-26 19:11:00] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:11:01] Rank = 0, Iter = 26, Block = 0, Slice = 0
[INFO] [2015-11-26 19:11:01] Rank = 0, Alias Time used: 1.97 s
[INFO] [2015-11-26 19:11:24] Rank = 0, Training Time used: 138.78 s
[INFO] [2015-11-26 19:11:24] Rank = 0, sampling throughput:<PHONE_NUMBER>15 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:11:29] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:11:36] Rank = 0, Iter = 27, Block = 0, Slice = 0
[INFO] [2015-11-26 19:11:37] Rank = 0, Alias Time used: 2.40 s
[INFO] [2015-11-26 19:12:13] Rank = 0, Training Time used: 184.30 s
[INFO] [2015-11-26 19:12:13] Rank = 0, sampling throughput: 89946.089102 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:12:15] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:12:17] Rank = 0, Iter = 28, Block = 0, Slice = 0
[INFO] [2015-11-26 19:12:17] Rank = 0, Alias Time used: 2.10 s
[INFO] [2015-11-26 19:12:45] Rank = 0, Training Time used: 164.67 s
[INFO] [2015-11-26 19:12:45] Rank = 0, sampling throughput:<PHONE_NUMBER>74 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:12:45] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:12:48] Rank = 0, Iter = 29, Block = 0, Slice = 0
[INFO] [2015-11-26 19:12:49] Rank = 0, Alias Time used: 1.67 s
[INFO] [2015-11-26 19:13:17] Rank = 0, Training Time used: 165.13 s
[INFO] [2015-11-26 19:13:17] Rank = 0, sampling throughput:<PHONE_NUMBER>78 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:13:19] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:13:19] Rank = 0, Iter = 30, Block = 0, Slice = 0
[INFO] [2015-11-26 19:13:20] Rank = 0, Alias Time used: 1.66 s
[INFO] [2015-11-26 19:13:45] Rank = 0, Training Time used: 155.96 s
[INFO] [2015-11-26 19:13:45] Rank = 0, sampling throughput:<PHONE_NUMBER>91 (tokens/thread/sec)
[INFO] [2015-11-26 19:13:52] doc likelihood : -4.839103e+08
[INFO] [2015-11-26 19:13:53] word likelihood : 7.142310e+08
[INFO] [2015-11-26 19:13:53] Normalized likelihood : -1.579249e+09
[INFO] [2015-11-26 19:13:53] Rank = 0, Evaluation Time used: 36.55 s
[DEBUG] [2015-11-26 19:13:53] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:13:54] Rank = 0, Iter = 31, Block = 0, Slice = 0
[INFO] [2015-11-26 19:13:54] Rank = 0, Alias Time used: 1.67 s
[INFO] [2015-11-26 19:14:20] Rank = 0, Training Time used: 154.22 s
[INFO] [2015-11-26 19:14:20] Rank = 0, sampling throughput:<PHONE_NUMBER>53 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:14:20] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:14:24] Rank = 0, Iter = 32, Block = 0, Slice = 0
[INFO] [2015-11-26 19:14:24] Rank = 0, Alias Time used: 1.60 s
[INFO] [2015-11-26 19:14:52] Rank = 0, Training Time used: 156.94 s
[INFO] [2015-11-26 19:14:52] Rank = 0, sampling throughput:<PHONE_NUMBER>50 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:14:57] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:14:58] Rank = 0, Iter = 33, Block = 0, Slice = 0
[INFO] [2015-11-26 19:14:58] Rank = 0, Alias Time used: 1.72 s
[INFO] [2015-11-26 19:15:22] Rank = 0, Training Time used: 142.36 s
[INFO] [2015-11-26 19:15:22] Rank = 0, sampling throughput:<PHONE_NUMBER>11 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:15:26] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:15:27] Rank = 0, Iter = 34, Block = 0, Slice = 0
[INFO] [2015-11-26 19:15:28] Rank = 0, Alias Time used: 1.49 s
[INFO] [2015-11-26 19:15:52] Rank = 0, Training Time used: 146.35 s
[INFO] [2015-11-26 19:15:52] Rank = 0, sampling throughput:<PHONE_NUMBER>01 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:15:54] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:15:56] Rank = 0, Iter = 35, Block = 0, Slice = 0
[INFO] [2015-11-26 19:15:56] Rank = 0, Alias Time used: 1.76 s
[INFO] [2015-11-26 19:16:21] Rank = 0, Training Time used: 150.38 s
[INFO] [2015-11-26 19:16:21] Rank = 0, sampling throughput:<PHONE_NUMBER>35 (tokens/thread/sec)
[INFO] [2015-11-26 19:16:27] doc likelihood : -4.594354e+08
[INFO] [2015-11-26 19:16:28] word likelihood : 7.576918e+08
[INFO] [2015-11-26 19:16:28] Normalized likelihood : -1.582640e+09
[INFO] [2015-11-26 19:16:28] Rank = 0, Evaluation Time used: 34.83 s
[DEBUG] [2015-11-26 19:16:28] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:16:28] Rank = 0, Iter = 36, Block = 0, Slice = 0
[INFO] [2015-11-26 19:16:29] Rank = 0, Alias Time used: 1.78 s
[INFO] [2015-11-26 19:16:52] Rank = 0, Training Time used: 139.90 s
[INFO] [2015-11-26 19:16:52] Rank = 0, sampling throughput:<PHONE_NUMBER>31 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:16:55] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:16:58] Rank = 0, Iter = 37, Block = 0, Slice = 0
[INFO] [2015-11-26 19:16:58] Rank = 0, Alias Time used: 1.47 s
[INFO] [2015-11-26 19:17:21] Rank = 0, Training Time used: 142.79 s
[INFO] [2015-11-26 19:17:21] Rank = 0, sampling throughput:<PHONE_NUMBER>14 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:17:24] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:17:25] Rank = 0, Iter = 38, Block = 0, Slice = 0
[INFO] [2015-11-26 19:17:25] Rank = 0, Alias Time used: 1.69 s
[INFO] [2015-11-26 19:17:46] Rank = 0, Training Time used: 122.43 s
[INFO] [2015-11-26 19:17:46] Rank = 0, sampling throughput:<PHONE_NUMBER>29 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:17:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:17:55] Rank = 0, Iter = 39, Block = 0, Slice = 0
[INFO] [2015-11-26 19:17:55] Rank = 0, Alias Time used: 1.92 s
[INFO] [2015-11-26 19:18:16] Rank = 0, Training Time used: 125.18 s
[INFO] [2015-11-26 19:18:16] Rank = 0, sampling throughput:<PHONE_NUMBER>24 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:18:21] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:18:23] Rank = 0, Iter = 40, Block = 0, Slice = 0
[INFO] [2015-11-26 19:18:23] Rank = 0, Alias Time used: 1.90 s
[INFO] [2015-11-26 19:18:49] Rank = 0, Training Time used: 153.46 s
[INFO] [2015-11-26 19:18:49] Rank = 0, sampling throughput:<PHONE_NUMBER>86 (tokens/thread/sec)
[INFO] [2015-11-26 19:18:54] doc likelihood : -4.451361e+08
[INFO] [2015-11-26 19:18:54] word likelihood : 7.904300e+08
[INFO] [2015-11-26 19:18:54] Normalized likelihood : -1.584283e+09
[INFO] [2015-11-26 19:18:54] Rank = 0, Evaluation Time used: 27.21 s
[DEBUG] [2015-11-26 19:18:54] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:18:55] Rank = 0, Iter = 41, Block = 0, Slice = 0
[INFO] [2015-11-26 19:18:55] Rank = 0, Alias Time used: 1.83 s
[INFO] [2015-11-26 19:19:22] Rank = 0, Training Time used: 155.21 s
[INFO] [2015-11-26 19:19:22] Rank = 0, sampling throughput:<PHONE_NUMBER>57 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:19:23] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:19:24] Rank = 0, Iter = 42, Block = 0, Slice = 0
[INFO] [2015-11-26 19:19:24] Rank = 0, Alias Time used: 1.72 s
[INFO] [2015-11-26 19:19:51] Rank = 0, Training Time used: 158.81 s
[INFO] [2015-11-26 19:19:51] Rank = 0, sampling throughput:<PHONE_NUMBER>06 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:19:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:19:53] Rank = 0, Iter = 43, Block = 0, Slice = 0
[INFO] [2015-11-26 19:19:53] Rank = 0, Alias Time used: 1.88 s
[INFO] [2015-11-26 19:20:17] Rank = 0, Training Time used: 133.73 s
[INFO] [2015-11-26 19:20:17] Rank = 0, sampling throughput:<PHONE_NUMBER>91 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:20:19] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:20:21] Rank = 0, Iter = 44, Block = 0, Slice = 0
[INFO] [2015-11-26 19:20:21] Rank = 0, Alias Time used: 1.76 s
[INFO] [2015-11-26 19:20:45] Rank = 0, Training Time used: 142.14 s
[INFO] [2015-11-26 19:20:45] Rank = 0, sampling throughput:<PHONE_NUMBER>77 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:20:46] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:20:47] Rank = 0, Iter = 45, Block = 0, Slice = 0
[INFO] [2015-11-26 19:20:47] Rank = 0, Alias Time used: 1.95 s
[INFO] [2015-11-26 19:21:11] Rank = 0, Training Time used: 138.88 s
[INFO] [2015-11-26 19:21:11] Rank = 0, sampling throughput:<PHONE_NUMBER>62 (tokens/thread/sec)
[INFO] [2015-11-26 19:21:17] doc likelihood : -4.367304e+08
[INFO] [2015-11-26 19:21:18] word likelihood : 8.138167e+08
[INFO] [2015-11-26 19:21:18] Normalized likelihood : -1.584595e+09
[INFO] [2015-11-26 19:21:18] Rank = 0, Evaluation Time used: 34.18 s
[DEBUG] [2015-11-26 19:21:18] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:21:18] Rank = 0, Iter = 46, Block = 0, Slice = 0
[INFO] [2015-11-26 19:21:19] Rank = 0, Alias Time used: 2.07 s
[INFO] [2015-11-26 19:21:44] Rank = 0, Training Time used: 139.06 s
[INFO] [2015-11-26 19:21:44] Rank = 0, sampling throughput:<PHONE_NUMBER>16 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:21:48] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:21:49] Rank = 0, Iter = 47, Block = 0, Slice = 0
[INFO] [2015-11-26 19:21:49] Rank = 0, Alias Time used: 1.49 s
[INFO] [2015-11-26 19:22:13] Rank = 0, Training Time used: 140.08 s
[INFO] [2015-11-26 19:22:13] Rank = 0, sampling throughput:<PHONE_NUMBER>96 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:22:13] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:22:14] Rank = 0, Iter = 48, Block = 0, Slice = 0
[INFO] [2015-11-26 19:22:14] Rank = 0, Alias Time used: 1.68 s
[INFO] [2015-11-26 19:22:38] Rank = 0, Training Time used: 138.16 s
[INFO] [2015-11-26 19:22:38] Rank = 0, sampling throughput:<PHONE_NUMBER>81 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:22:40] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:22:41] Rank = 0, Iter = 49, Block = 0, Slice = 0
[INFO] [2015-11-26 19:22:41] Rank = 0, Alias Time used: 1.54 s
[INFO] [2015-11-26 19:23:07] Rank = 0, Training Time used: 152.84 s
[INFO] [2015-11-26 19:23:07] Rank = 0, sampling throughput:<PHONE_NUMBER>85 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:23:07] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:23:08] Rank = 0, Iter = 50, Block = 0, Slice = 0
[INFO] [2015-11-26 19:23:08] Rank = 0, Alias Time used: 1.40 s
[INFO] [2015-11-26 19:23:30] Rank = 0, Training Time used: 133.89 s
[INFO] [2015-11-26 19:23:30] Rank = 0, sampling throughput:<PHONE_NUMBER>31 (tokens/thread/sec)
[INFO] [2015-11-26 19:23:40] doc likelihood : -4.314949e+08
[INFO] [2015-11-26 19:23:40] word likelihood : 8.308841e+08
[INFO] [2015-11-26 19:23:40] Normalized likelihood : -1.584257e+09
[INFO] [2015-11-26 19:23:40] Rank = 0, Evaluation Time used: 41.05 s
[DEBUG] [2015-11-26 19:23:40] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:23:41] Rank = 0, Iter = 51, Block = 0, Slice = 0
[INFO] [2015-11-26 19:23:41] Rank = 0, Alias Time used: 1.69 s
[INFO] [2015-11-26 19:24:12] Rank = 0, Training Time used: 154.38 s
[INFO] [2015-11-26 19:24:12] Rank = 0, sampling throughput:<PHONE_NUMBER>14 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:24:12] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:24:13] Rank = 0, Iter = 52, Block = 0, Slice = 0
[INFO] [2015-11-26 19:24:13] Rank = 0, Alias Time used: 1.37 s
[INFO] [2015-11-26 19:24:36] Rank = 0, Training Time used: 139.34 s
[INFO] [2015-11-26 19:24:36] Rank = 0, sampling throughput:<PHONE_NUMBER>55 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:24:38] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:24:38] Rank = 0, Iter = 53, Block = 0, Slice = 0
[INFO] [2015-11-26 19:24:39] Rank = 0, Alias Time used: 2.05 s
[INFO] [2015-11-26 19:25:04] Rank = 0, Training Time used: 142.71 s
[INFO] [2015-11-26 19:25:04] Rank = 0, sampling throughput:<PHONE_NUMBER>32 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:25:04] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:25:05] Rank = 0, Iter = 54, Block = 0, Slice = 0
[INFO] [2015-11-26 19:25:05] Rank = 0, Alias Time used: 1.50 s
[INFO] [2015-11-26 19:25:27] Rank = 0, Training Time used: 131.35 s
[INFO] [2015-11-26 19:25:27] Rank = 0, sampling throughput:<PHONE_NUMBER>89 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:25:30] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:25:31] Rank = 0, Iter = 55, Block = 0, Slice = 0
[INFO] [2015-11-26 19:25:31] Rank = 0, Alias Time used: 1.65 s
[INFO] [2015-11-26 19:25:55] Rank = 0, Training Time used: 143.52 s
[INFO] [2015-11-26 19:25:55] Rank = 0, sampling throughput:<PHONE_NUMBER>46 (tokens/thread/sec)
[INFO] [2015-11-26 19:26:01] doc likelihood : -4.280392e+08
[INFO] [2015-11-26 19:26:01] word likelihood : 8.438210e+08
[INFO] [2015-11-26 19:26:01] Normalized likelihood : -1.583670e+09
[INFO] [2015-11-26 19:26:01] Rank = 0, Evaluation Time used: 26.59 s
[DEBUG] [2015-11-26 19:26:01] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:26:02] Rank = 0, Iter = 56, Block = 0, Slice = 0
[INFO] [2015-11-26 19:26:02] Rank = 0, Alias Time used: 1.49 s
[INFO] [2015-11-26 19:26:24] Rank = 0, Training Time used: 125.45 s
[INFO] [2015-11-26 19:26:24] Rank = 0, sampling throughput:<PHONE_NUMBER>03 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:26:28] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:26:29] Rank = 0, Iter = 57, Block = 0, Slice = 0
[INFO] [2015-11-26 19:26:29] Rank = 0, Alias Time used: 1.37 s
[INFO] [2015-11-26 19:26:51] Rank = 0, Training Time used: 129.02 s
[INFO] [2015-11-26 19:26:51] Rank = 0, sampling throughput:<PHONE_NUMBER>40 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:26:53] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:26:54] Rank = 0, Iter = 58, Block = 0, Slice = 0
[INFO] [2015-11-26 19:26:54] Rank = 0, Alias Time used: 1.39 s
[INFO] [2015-11-26 19:27:18] Rank = 0, Training Time used: 139.39 s
[INFO] [2015-11-26 19:27:18] Rank = 0, sampling throughput:<PHONE_NUMBER>67 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:27:19] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:27:19] Rank = 0, Iter = 59, Block = 0, Slice = 0
[INFO] [2015-11-26 19:27:20] Rank = 0, Alias Time used: 1.57 s
[INFO] [2015-11-26 19:27:45] Rank = 0, Training Time used: 141.16 s
[INFO] [2015-11-26 19:27:45] Rank = 0, sampling throughput:<PHONE_NUMBER>50 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:27:45] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:27:46] Rank = 0, Iter = 60, Block = 0, Slice = 0
[INFO] [2015-11-26 19:27:46] Rank = 0, Alias Time used: 1.62 s
[INFO] [2015-11-26 19:28:09] Rank = 0, Training Time used: 133.56 s
[INFO] [2015-11-26 19:28:09] Rank = 0, sampling throughput:<PHONE_NUMBER>09 (tokens/thread/sec)
[INFO] [2015-11-26 19:28:15] doc likelihood : -4.257501e+08
[INFO] [2015-11-26 19:28:15] word likelihood : 8.539954e+08
[INFO] [2015-11-26 19:28:15] Normalized likelihood : -1.583021e+09
[INFO] [2015-11-26 19:28:15] Rank = 0, Evaluation Time used: 34.62 s
[DEBUG] [2015-11-26 19:28:15] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:28:16] Rank = 0, Iter = 61, Block = 0, Slice = 0
[INFO] [2015-11-26 19:28:16] Rank = 0, Alias Time used: 1.44 s
[INFO] [2015-11-26 19:28:36] Rank = 0, Training Time used: 107.46 s
[INFO] [2015-11-26 19:28:36] Rank = 0, sampling throughput:<PHONE_NUMBER>97 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:28:46] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:28:47] Rank = 0, Iter = 62, Block = 0, Slice = 0
[INFO] [2015-11-26 19:28:47] Rank = 0, Alias Time used: 1.75 s
[INFO] [2015-11-26 19:29:08] Rank = 0, Training Time used: 128.39 s
[INFO] [2015-11-26 19:29:08] Rank = 0, sampling throughput:<PHONE_NUMBER>44 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:29:11] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:29:12] Rank = 0, Iter = 63, Block = 0, Slice = 0
[INFO] [2015-11-26 19:29:12] Rank = 0, Alias Time used: 1.43 s
[INFO] [2015-11-26 19:29:35] Rank = 0, Training Time used: 136.27 s
[INFO] [2015-11-26 19:29:35] Rank = 0, sampling throughput:<PHONE_NUMBER>86 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:29:36] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:29:37] Rank = 0, Iter = 64, Block = 0, Slice = 0
[INFO] [2015-11-26 19:29:37] Rank = 0, Alias Time used: 1.44 s
[INFO] [2015-11-26 19:30:01] Rank = 0, Training Time used: 137.20 s
[INFO] [2015-11-26 19:30:01] Rank = 0, sampling throughput:<PHONE_NUMBER>76 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:30:02] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:30:02] Rank = 0, Iter = 65, Block = 0, Slice = 0
[INFO] [2015-11-26 19:30:03] Rank = 0, Alias Time used: 1.38 s
[INFO] [2015-11-26 19:30:30] Rank = 0, Training Time used: 150.12 s
[INFO] [2015-11-26 19:30:30] Rank = 0, sampling throughput:<PHONE_NUMBER>22 (tokens/thread/sec)
[INFO] [2015-11-26 19:30:33] doc likelihood : -4.240845e+08
[INFO] [2015-11-26 19:30:33] word likelihood : 8.621267e+08
[INFO] [2015-11-26 19:30:33] Normalized likelihood : -1.582389e+09
[INFO] [2015-11-26 19:30:33] Rank = 0, Evaluation Time used: 18.53 s
[DEBUG] [2015-11-26 19:30:33] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:30:34] Rank = 0, Iter = 66, Block = 0, Slice = 0
[INFO] [2015-11-26 19:30:34] Rank = 0, Alias Time used: 1.66 s
[INFO] [2015-11-26 19:30:54] Rank = 0, Training Time used: 122.02 s
[INFO] [2015-11-26 19:30:54] Rank = 0, sampling throughput:<PHONE_NUMBER>31 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:31:01] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:31:01] Rank = 0, Iter = 67, Block = 0, Slice = 0
[INFO] [2015-11-26 19:31:02] Rank = 0, Alias Time used: 1.50 s
[INFO] [2015-11-26 19:31:28] Rank = 0, Training Time used: 138.75 s
[INFO] [2015-11-26 19:31:28] Rank = 0, sampling throughput:<PHONE_NUMBER>18 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:31:30] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:31:31] Rank = 0, Iter = 68, Block = 0, Slice = 0
[INFO] [2015-11-26 19:31:31] Rank = 0, Alias Time used: 1.46 s
[INFO] [2015-11-26 19:31:52] Rank = 0, Training Time used: 123.99 s
[INFO] [2015-11-26 19:31:52] Rank = 0, sampling throughput:<PHONE_NUMBER>80 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:31:57] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:31:57] Rank = 0, Iter = 69, Block = 0, Slice = 0
[INFO] [2015-11-26 19:31:58] Rank = 0, Alias Time used: 1.67 s
[INFO] [2015-11-26 19:32:21] Rank = 0, Training Time used: 138.28 s
[INFO] [2015-11-26 19:32:21] Rank = 0, sampling throughput:<PHONE_NUMBER>70 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:32:22] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:32:23] Rank = 0, Iter = 70, Block = 0, Slice = 0
[INFO] [2015-11-26 19:32:23] Rank = 0, Alias Time used: 1.35 s
[INFO] [2015-11-26 19:32:40] Rank = 0, Training Time used: 103.31 s
[INFO] [2015-11-26 19:32:40] Rank = 0, sampling throughput:<PHONE_NUMBER>22 (tokens/thread/sec)
[INFO] [2015-11-26 19:32:51] doc likelihood : -4.229418e+08
[INFO] [2015-11-26 19:32:52] word likelihood : 8.688454e+08
[INFO] [2015-11-26 19:32:52] Normalized likelihood : -1.581791e+09
[INFO] [2015-11-26 19:32:52] Rank = 0, Evaluation Time used: 64.24 s
[DEBUG] [2015-11-26 19:32:52] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:32:53] Rank = 0, Iter = 71, Block = 0, Slice = 0
[INFO] [2015-11-26 19:32:53] Rank = 0, Alias Time used: 1.71 s
[INFO] [2015-11-26 19:33:13] Rank = 0, Training Time used: 119.84 s
[INFO] [2015-11-26 19:33:13] Rank = 0, sampling throughput:<PHONE_NUMBER>62 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:33:16] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:33:17] Rank = 0, Iter = 72, Block = 0, Slice = 0
[INFO] [2015-11-26 19:33:17] Rank = 0, Alias Time used: 1.39 s
[INFO] [2015-11-26 19:33:39] Rank = 0, Training Time used: 129.61 s
[INFO] [2015-11-26 19:33:39] Rank = 0, sampling throughput:<PHONE_NUMBER>93 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:33:42] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:33:42] Rank = 0, Iter = 73, Block = 0, Slice = 0
[INFO] [2015-11-26 19:33:43] Rank = 0, Alias Time used: 1.69 s
[INFO] [2015-11-26 19:34:04] Rank = 0, Training Time used: 126.04 s
[INFO] [2015-11-26 19:34:04] Rank = 0, sampling throughput:<PHONE_NUMBER>27 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:34:08] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:34:09] Rank = 0, Iter = 74, Block = 0, Slice = 0
[INFO] [2015-11-26 19:34:09] Rank = 0, Alias Time used: 1.56 s
[INFO] [2015-11-26 19:34:29] Rank = 0, Training Time used: 119.93 s
[INFO] [2015-11-26 19:34:29] Rank = 0, sampling throughput:<PHONE_NUMBER>81 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:34:33] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:34:34] Rank = 0, Iter = 75, Block = 0, Slice = 0
[INFO] [2015-11-26 19:34:34] Rank = 0, Alias Time used: 1.30 s
[INFO] [2015-11-26 19:34:59] Rank = 0, Training Time used: 144.57 s
[INFO] [2015-11-26 19:34:59] Rank = 0, sampling throughput:<PHONE_NUMBER>87 (tokens/thread/sec)
[INFO] [2015-11-26 19:35:02] doc likelihood : -4.220603e+08
[INFO] [2015-11-26 19:35:02] word likelihood : 8.744806e+08
[INFO] [2015-11-26 19:35:02] Normalized likelihood : -1.581272e+09
[INFO] [2015-11-26 19:35:02] Rank = 0, Evaluation Time used: 16.66 s
[DEBUG] [2015-11-26 19:35:02] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:35:03] Rank = 0, Iter = 76, Block = 0, Slice = 0
[INFO] [2015-11-26 19:35:03] Rank = 0, Alias Time used: 1.30 s
[INFO] [2015-11-26 19:35:24] Rank = 0, Training Time used: 123.81 s
[INFO] [2015-11-26 19:35:24] Rank = 0, sampling throughput:<PHONE_NUMBER>90 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:35:28] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:35:29] Rank = 0, Iter = 77, Block = 0, Slice = 0
[INFO] [2015-11-26 19:35:29] Rank = 0, Alias Time used: 1.77 s
[INFO] [2015-11-26 19:35:52] Rank = 0, Training Time used: 126.83 s
[INFO] [2015-11-26 19:35:52] Rank = 0, sampling throughput:<PHONE_NUMBER>12 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:35:56] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:35:57] Rank = 0, Iter = 78, Block = 0, Slice = 0
[INFO] [2015-11-26 19:35:57] Rank = 0, Alias Time used: 1.56 s
[INFO] [2015-11-26 19:36:19] Rank = 0, Training Time used: 123.26 s
[INFO] [2015-11-26 19:36:19] Rank = 0, sampling throughput:<PHONE_NUMBER>18 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:36:24] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:36:25] Rank = 0, Iter = 79, Block = 0, Slice = 0
[INFO] [2015-11-26 19:36:25] Rank = 0, Alias Time used: 1.23 s
[INFO] [2015-11-26 19:36:47] Rank = 0, Training Time used: 133.95 s
[INFO] [2015-11-26 19:36:47] Rank = 0, sampling throughput:<PHONE_NUMBER>51 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:36:48] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:36:49] Rank = 0, Iter = 80, Block = 0, Slice = 0
[INFO] [2015-11-26 19:36:49] Rank = 0, Alias Time used: 1.49 s
[INFO] [2015-11-26 19:37:11] Rank = 0, Training Time used: 133.50 s
[INFO] [2015-11-26 19:37:11] Rank = 0, sampling throughput:<PHONE_NUMBER>39 (tokens/thread/sec)
[INFO] [2015-11-26 19:37:16] doc likelihood : -4.215044e+08
[INFO] [2015-11-26 19:37:17] word likelihood : 8.793446e+08
[INFO] [2015-11-26 19:37:17] Normalized likelihood : -1.580807e+09
[INFO] [2015-11-26 19:37:17] Rank = 0, Evaluation Time used: 25.43 s
[DEBUG] [2015-11-26 19:37:17] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:37:17] Rank = 0, Iter = 81, Block = 0, Slice = 0
[INFO] [2015-11-26 19:37:18] Rank = 0, Alias Time used: 1.43 s
[INFO] [2015-11-26 19:37:45] Rank = 0, Training Time used: 146.71 s
[INFO] [2015-11-26 19:37:45] Rank = 0, sampling throughput:<PHONE_NUMBER>78 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:37:45] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:37:46] Rank = 0, Iter = 82, Block = 0, Slice = 0
[INFO] [2015-11-26 19:37:46] Rank = 0, Alias Time used: 1.24 s
[INFO] [2015-11-26 19:38:08] Rank = 0, Training Time used: 130.01 s
[INFO] [2015-11-26 19:38:08] Rank = 0, sampling throughput:<PHONE_NUMBER>93 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:38:10] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:38:10] Rank = 0, Iter = 83, Block = 0, Slice = 0
[INFO] [2015-11-26 19:38:11] Rank = 0, Alias Time used: 1.55 s
[INFO] [2015-11-26 19:38:36] Rank = 0, Training Time used: 141.07 s
[INFO] [2015-11-26 19:38:36] Rank = 0, sampling throughput:<PHONE_NUMBER>28 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:38:36] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:38:37] Rank = 0, Iter = 84, Block = 0, Slice = 0
[INFO] [2015-11-26 19:38:37] Rank = 0, Alias Time used: 1.47 s
[INFO] [2015-11-26 19:38:56] Rank = 0, Training Time used: 110.34 s
[INFO] [2015-11-26 19:38:56] Rank = 0, sampling throughput:<PHONE_NUMBER>56 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:39:01] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:39:02] Rank = 0, Iter = 85, Block = 0, Slice = 0
[INFO] [2015-11-26 19:39:02] Rank = 0, Alias Time used: 1.58 s
[INFO] [2015-11-26 19:39:26] Rank = 0, Training Time used: 137.54 s
[INFO] [2015-11-26 19:39:26] Rank = 0, sampling throughput:<PHONE_NUMBER>35 (tokens/thread/sec)
[INFO] [2015-11-26 19:39:31] doc likelihood : -4.210534e+08
[INFO] [2015-11-26 19:39:32] word likelihood : 8.835320e+08
[INFO] [2015-11-26 19:39:32] Normalized likelihood : -1.580384e+09
[INFO] [2015-11-26 19:39:32] Rank = 0, Evaluation Time used: 23.83 s
[DEBUG] [2015-11-26 19:39:32] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:39:32] Rank = 0, Iter = 86, Block = 0, Slice = 0
[INFO] [2015-11-26 19:39:33] Rank = 0, Alias Time used: 1.56 s
[INFO] [2015-11-26 19:39:58] Rank = 0, Training Time used: 138.72 s
[INFO] [2015-11-26 19:39:58] Rank = 0, sampling throughput:<PHONE_NUMBER>89 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:39:58] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:39:59] Rank = 0, Iter = 87, Block = 0, Slice = 0
[INFO] [2015-11-26 19:39:59] Rank = 0, Alias Time used: 1.44 s
[INFO] [2015-11-26 19:40:19] Rank = 0, Training Time used: 117.04 s
[INFO] [2015-11-26 19:40:19] Rank = 0, sampling throughput:<PHONE_NUMBER>17 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:40:22] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:40:23] Rank = 0, Iter = 88, Block = 0, Slice = 0
[INFO] [2015-11-26 19:40:24] Rank = 0, Alias Time used: 2.08 s
[INFO] [2015-11-26 19:40:45] Rank = 0, Training Time used: 119.46 s
[INFO] [2015-11-26 19:40:45] Rank = 0, sampling throughput:<PHONE_NUMBER>06 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:40:50] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:40:51] Rank = 0, Iter = 89, Block = 0, Slice = 0
[INFO] [2015-11-26 19:40:51] Rank = 0, Alias Time used: 1.16 s
[INFO] [2015-11-26 19:41:09] Rank = 0, Training Time used: 110.17 s
[INFO] [2015-11-26 19:41:09] Rank = 0, sampling throughput:<PHONE_NUMBER>53 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:41:16] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:41:17] Rank = 0, Iter = 90, Block = 0, Slice = 0
[INFO] [2015-11-26 19:41:17] Rank = 0, Alias Time used: 1.59 s
[INFO] [2015-11-26 19:41:40] Rank = 0, Training Time used: 133.89 s
[INFO] [2015-11-26 19:41:40] Rank = 0, sampling throughput:<PHONE_NUMBER>34 (tokens/thread/sec)
[INFO] [2015-11-26 19:41:46] doc likelihood : -4.206959e+08
[INFO] [2015-11-26 19:41:46] word likelihood : 8.872202e+08
[INFO] [2015-11-26 19:41:46] Normalized likelihood : -1.580009e+09
[INFO] [2015-11-26 19:41:46] Rank = 0, Evaluation Time used: 31.54 s
[DEBUG] [2015-11-26 19:41:46] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:41:47] Rank = 0, Iter = 91, Block = 0, Slice = 0
[INFO] [2015-11-26 19:41:47] Rank = 0, Alias Time used: 1.69 s
[INFO] [2015-11-26 19:42:11] Rank = 0, Training Time used: 137.06 s
[INFO] [2015-11-26 19:42:11] Rank = 0, sampling throughput:<PHONE_NUMBER>20 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:42:13] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:42:14] Rank = 0, Iter = 92, Block = 0, Slice = 0
[INFO] [2015-11-26 19:42:14] Rank = 0, Alias Time used: 1.49 s
[INFO] [2015-11-26 19:42:36] Rank = 0, Training Time used: 129.69 s
[INFO] [2015-11-26 19:42:36] Rank = 0, sampling throughput:<PHONE_NUMBER>68 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:42:37] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:42:38] Rank = 0, Iter = 93, Block = 0, Slice = 0
[INFO] [2015-11-26 19:42:38] Rank = 0, Alias Time used: 1.43 s
[INFO] [2015-11-26 19:43:01] Rank = 0, Training Time used: 134.25 s
[INFO] [2015-11-26 19:43:01] Rank = 0, sampling throughput:<PHONE_NUMBER>56 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:43:01] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:43:02] Rank = 0, Iter = 94, Block = 0, Slice = 0
[INFO] [2015-11-26 19:43:02] Rank = 0, Alias Time used: 1.37 s
[INFO] [2015-11-26 19:43:24] Rank = 0, Training Time used: 129.88 s
[INFO] [2015-11-26 19:43:24] Rank = 0, sampling throughput:<PHONE_NUMBER>51 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:43:25] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:43:26] Rank = 0, Iter = 95, Block = 0, Slice = 0
[INFO] [2015-11-26 19:43:26] Rank = 0, Alias Time used: 1.39 s
[INFO] [2015-11-26 19:43:43] Rank = 0, Training Time used: 99.65 s
[INFO] [2015-11-26 19:43:43] Rank = 0, sampling throughput:<PHONE_NUMBER>28 (tokens/thread/sec)
[INFO] [2015-11-26 19:43:53] doc likelihood : -4.205036e+08
[INFO] [2015-11-26 19:43:54] word likelihood : 8.904672e+08
[INFO] [2015-11-26 19:43:54] Normalized likelihood : -1.579677e+09
[INFO] [2015-11-26 19:43:54] Rank = 0, Evaluation Time used: 55.21 s
[DEBUG] [2015-11-26 19:43:54] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:43:54] Rank = 0, Iter = 96, Block = 0, Slice = 0
[INFO] [2015-11-26 19:43:55] Rank = 0, Alias Time used: 1.38 s
[INFO] [2015-11-26 19:44:16] Rank = 0, Training Time used: 125.78 s
[INFO] [2015-11-26 19:44:16] Rank = 0, sampling throughput:<PHONE_NUMBER>45 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:44:18] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:44:19] Rank = 0, Iter = 97, Block = 0, Slice = 0
[INFO] [2015-11-26 19:44:19] Rank = 0, Alias Time used: 1.30 s
[INFO] [2015-11-26 19:44:36] Rank = 0, Training Time used: 102.23 s
[INFO] [2015-11-26 19:44:36] Rank = 0, sampling throughput:<PHONE_NUMBER>92 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:44:42] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:44:42] Rank = 0, Iter = 98, Block = 0, Slice = 0
[INFO] [2015-11-26 19:44:43] Rank = 0, Alias Time used: 1.47 s
[INFO] [2015-11-26 19:45:12] Rank = 0, Training Time used: 147.84 s
[INFO] [2015-11-26 19:45:12] Rank = 0, sampling throughput:<PHONE_NUMBER>78 (tokens/thread/sec)
[DEBUG] [2015-11-26 19:45:13] Request params. start = 0, end = 101635
[INFO] [2015-11-26 19:45:13] Rank = 0, Iter = 99, Block = 0, Slice = 0
[INFO] [2015-11-26 19:45:14] Rank = 0, Alias Time used: 1.69 s
[INFO] [2015-11-26 19:45:38] Rank = 0, Training Time used: 138.22 s
[INFO] [2015-11-26 19:45:38] Rank = 0, sampling throughput:<PHONE_NUMBER>66 (tokens/thread/sec)
[INFO] [2015-11-26 19:45:39] Rank 0/1: End of training.
[INFO] [2015-11-26 19:45:39] Server 0: Received close message from worker 0.
[INFO] [2015-11-26 19:45:39] Server 0: Dump model...
[INFO] [2015-11-26 19:45:41] Server 0 closed.
[INFO] [2015-11-26 19:45:42] Rank 0/1: Multiverso closed successfully.

Thank you.
Marco

Hi, Marco.
Sorry the log is a little confusing. But it converges. Maybe discussion in this issue can help.

Hi, thank you for your answer.


Artifactory integration

apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: artifactory-task
labels:
app.kubernetes.io/version: "0.5"
annotations:
tekton.dev/categories: Image Build
tekton.dev/pipelines.minVersion: 0.17.0
tekton.dev/tags: image-build
tekton.dev/platforms: linux/amd64,linux/s390x,linux/ppc64le,linux/arm64
spec:
description: >-
Buildah task builds source into a container image and then pushes
it to a container registry.
Buildah Task builds source into a container image using Project Atomic's Buildah build tool.It uses Buildah's support for building from Dockerfiles, using its buildah bud command.This command executes the directives in the Dockerfile to assemble a container image, then pushes that image to a container registry.

params:
- name: image-repo
default: tekton-java-poc
- name: image-registry
default: quay.apps.np2.ent-ocp4-np2-useast1.aws.internal.das
description: imagestream
- name: image-tag
default: latest
- name: IMAGE
description: Reference of the image buildah will produce.
- name: BUILDER_IMAGE
description: The location of the buildah builder image.
default: quay.apps.lz-np2.ent-ocp4-useast1.aws.internal.das/openshift-base-images/ubi8-buildah-image-with-certs:latest
- name: STORAGE_DRIVER
description: Set buildah storage driver
default: overlay
- name: DOCKERFILE
description: Path to the Dockerfile to build.
default: ./Dockerfile
- name: CONTEXT
description: Path to the directory to use as context.
default: source
- name: TLSVERIFY
description: Verify the TLS on the registry endpoint (for push/pull to a non-TLS
registry)
default: "true"
- name: FORMAT
description: The format of the built container, oci or docker
default: oci
- name: BUILD_EXTRA_ARGS
description: Extra parameters passed for the build command when building images.
default: ""
- name: PUSH_EXTRA_ARGS
description: Extra parameters passed for the push command when pushing images.
type: string
default: ""
- name: SKIP_PUSH
description: Skip pushing the built image
default: "false"
workspaces:
- name: source
- name: sslcertdir
optional: true
- name: dockerconfig
description: An optional workspace that allows providing a .docker/config.json
file for Buildah to access the container registry. The file should be
placed at the root of the Workspace with name config.json.
optional: true
results:
- name: IMAGE_DIGEST
description: Digest of the image just built.
- name: IMAGE_URL
description: Image repository where the built image would be pushed to
steps:
- name: publish-to-artifactory
image: jfrogcli:latest
command: -sh --c
env:
- name: artifactory_url
value: https://artifactory.com
- name: artifactory_repo
value: maven-public/
- name: artifactory_username
valueFrom:
secretKeyRef:
name: caas-devops-artifactory
key: username
- name: artifactory_password
valueFrom:
secretKeyRef:
name: caas-devops-artifactory
key: password
script: |
jfrog rt config --url ${artifactory_url} --user ${artifactory_username} --password ${artifactory_password} docker tag ${params.IMAGE} ${artifactory_url}/${artifactory_repo} docker push ${artifactory_url}/${artifactory_repo}:latest
  # args: -| jfrog rt config --url ${artifactory_url} --user ${artifactory_username}
  #   --password ${artifactory_password} docker tag ${params.IMAGE}
  #   ${artifactory_url}/${artifactory_repo} docker push
  #   ${artifactory_url}/${artifactory_repo}:latest
  securityContext:
    privileged: true

volumes:
- name: varlibcontainers
emptyDir: {}
Above is the yaml file trying to configure artifactiory with tekton
when i tried to apply to the cluster facing the below error
Error from server (BadRequest): error when creating "artifactory-task.yaml": admission webhook "webhook.pipeline.tekton.dev" denied the request: mutation failed: cannot decode incoming new object: json: cannot unmarshal string into Go struct field Step.spec.steps.command of type []string

command is a list type filed, you can use the following writing method to try
command:
  - sh
  -  -c


Firebase recyclerview adapter owner books

Closes #58

With this change, we should also delete OwnerBooksAdapter.java but BorrowerPageFragment uses it in onCreateView()

botched merge with master


Simplify the RFC3339DateTime custom type implementation

@behnazh-w I’m working on a PR for this issue 🤓


Adopt icon font in problems and peek error

Related #78889 and fixes #74921
This adopts the icon font in the problems and peek error views:

I've also created a few color tokens:

problemsErrorIcon.foreground which inherits from editorError.foreground
problemsWarningIcon.foreground which inherits from editorWarning.foreground
problemsInfoIcon.foreground which inherits from editorInfo.foreground

I've also made the notification icons (notificationsErrorIcon.foreground etc.) inherit from the same corresponding editor foreground colors from above so that they're all updated like:

cc @bpasero for the notification icons inheritance

Looks good to me!

LGTM

Hi all. I googled some ℹ information about a few features with no result:
editorWarning.foreground
editorWarning.border
editorHint.foreground
editorHint.border
problemsWarningIcon.foreground

In order to understand, please provide some screenshot, screencast or short video❗
P.S. ··· documentation on official site sucks, thanks❗
Best Regards✌


ts: migrate web/src/schema.js to typescript

This PR addresses the migration of file web/src/schema.js to typescript.
Fixes:

Screenshots and screen captures:

Self-review checklist

[x] Self-reviewed the changes for clarity and maintainability
(variable names, code reuse, readability, etc.).

Communicate decisions, questions, and potential concerns.

[x] Explains differences from previous plans (e.g., issue description).
[x] Highlights technical choices and bugs encountered.
[x] Calls out remaining decisions and concerns.
[ ] Automated tests verify logic where appropriate.

Individual commits are ready for review (see commit discipline).

[x] Each commit is a coherent idea.
[x] Commit message(s) explain reasoning and motivation for changes.

Completed manual review and testing of the following:

[ ] Visual appearance of the changes.
[ ] Responsiveness and internationalization.
[ ] Strings and tooltips.
[ ] End-to-end functionality of buttons, interactions and flows.
[ ] Corner cases, error conditions, and easily imagined bugs.

These functions seem useless because typescript would prevent making such bugs at compile time, so runtime check using these functions probably wouldn't be needed. Even if this is to be done, I'd say we make use of library like zod.

They're useful until we have something like zod fully integrated, so definitely makes sense to convert these.

These type annotations are misleading, as they assume the data already has the type that’s supposed to be validated. Types should represent a guarantee, not an aspiration.
These utilities are used by one function in the entire codebase:
https://github.com/zulip/zulip/blob/f812d9bb423e348993ee68973d9899a26729db2c/web/src/zform.js#L11-L28
We could just port that to Zod—no need to wait for it to be “fully integrated”.

I tend to agree; this is a nice isolated piece of code that would be a good place to experiment with Zod. @xoldyckk do you want to try doing that?
@N-Shar-ma FYI as someone who's worked on widgets recently and might be able to take over this piece if not.

I tend to agree; this is a nice isolated piece of code that would be a good place to experiment with Zod. @xoldyckk do you want to try doing that?
@N-Shar-ma FYI as someone who's worked on widgets recently and might be able to take over this piece if not.

Yeah I think I will be able to do this.

Closing in favor of #25109.


ABC iView - 'movie length' tv shows

Please follow the guide below

You will be asked some questions and requested to provide some information, please read them carefully and answer honestly
Put an x into all the boxes [ ] relevant to your issue (like this: [x])
Use the Preview tab to see what your issue will actually look like

Make sure you are using the latest version: run youtube-dl --version and ensure your version is 2018.06.25. If it's not, read this FAQ entry and update. Issues with outdated version will be rejected.

[x] I've verified and I assure that I'm running youtube-dl 2018.06.25

Before submitting an issue make sure you have:

[x] At least skimmed through the README, most notably the FAQ and BUGS sections
[x] Searched the bugtracker for similar issues including closed ones
[x] Checked that provided video/audio/playlist URLs (if any) are alive and playable in a browser

What is the purpose of your issue?

[x] Bug report (encountered problems with youtube-dl)
[x] Site support request (request for adding support for a new site)
[ ] Feature request (request for a new functionality)
[ ] Question
[ ] Other

[debug] System config: []
[debug] User config: []
[debug] Custom config: []
[debug] Command-line args: [u'-v', u'https://iview.abc.net.au/show/octonauts-and-operation-deep-freeze']
[debug] Encodings: locale UTF-8, fs utf-8, out UTF-8, pref UTF-8
[debug] youtube-dl version 2018.06.25
[debug] Python version 2.7.15 (CPython) - Darwin-17.5.0-x86_64-i386-64bit
[debug] exe versions: ffmpeg 4.0, ffprobe 4.0
[debug] Proxy map: {}
[generic] octonauts-and-operation-deep-freeze: Requesting header
WARNING: Falling back on generic information extractor.
[generic] octonauts-and-operation-deep-freeze: Downloading webpage
[generic] octonauts-and-operation-deep-freeze: Extracting information
ERROR: Unsupported URL: https://iview.abc.net.au/show/octonauts-and-operation-deep-freeze
Traceback (most recent call last):
  File "/usr/local/bin/youtube-dl/youtube_dl/extractor/generic.py", line 2309, in _real_extract
    doc = compat_etree_fromstring(webpage.encode('utf-8'))
  File "/usr/local/bin/youtube-dl/youtube_dl/compat.py", line 2542, in compat_etree_fromstring
    doc = _XML(text, parser=etree.XMLParser(target=_TreeBuilder(element_factory=_element_factory)))
  File "/usr/local/bin/youtube-dl/youtube_dl/compat.py", line 2531, in _XML
    parser.feed(text)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/etree/ElementTree.py", line 1659, in feed
    self._raiseerror(v)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/etree/ElementTree.py", line 1523, in _raiseerror
    raise err
ParseError: not well-formed (invalid token): line 6, column 700
Traceback (most recent call last):
  File "/usr/local/bin/youtube-dl/youtube_dl/YoutubeDL.py", line 792, in extract_info
    ie_result = ie.extract(url)
  File "/usr/local/bin/youtube-dl/youtube_dl/extractor/common.py", line 501, in extract
    ie_result = self._real_extract(url)
  File "/usr/local/bin/youtube-dl/youtube_dl/extractor/generic.py", line 3269, in _real_extract
    raise UnsupportedError(url)
UnsupportedError: Unsupported URL: https://iview.abc.net.au/show/octonauts-and-operation-deep-freeze

If the purpose of this issue is a site support request please provide all kinds of example URLs support for which should be included (replace following example URLs by yours):

Single video: https://www.youtube.com/watch?v=BaW_jenozKc
Single video: https://youtu.be/BaW_jenozKc
Playlist: https://www.youtube.com/playlist?list=PL4lCao7KL_QFVb7Iudeipvc2BCavECqzc

Note that youtube-dl does not support sites dedicated to copyright infringement. In order for site support request to be accepted all provided example URLs should not violate any copyrights.

Description of your issue, suggested solution and other information
I know there have been a few ABC iView issue of late. The comments on those have helped immensely but I haven't been able to get the 'movie' length episodes to work as they have their own unique pages. Any advice or assistance would be great.

The URLs are now only available by following the 'share' links, otherwise using the direct link from the  image appears to act as a hidden $_POST action or similar.
Also ensure you have the latest version of -dl
sudo youtube-dl -U
Cheers

Thanks for that. I've updated to the latest version. the share link works for the standard tv shows but not for the 'movie length' ones such as the link above. (https://iview.abc.net.au/show/octonauts-and-operation-deep-freeze). If its not possible do fix it (or a work around) just let me know and I'll stop bugging you.
P.S. LOVE the program!

I was sharing the work around I found as I had the same issue with normal
length shows the same day and an update of the package and using the link
worked in that case.
Unfortunately looks like my info did not help you further.
Yeah these guys have put together an awesome package - I couldn't code
something like this to save myself :-)
On 10 July 2018 at 15:32, Nathan Ward<EMAIL_ADDRESS>wrote:

Thanks for that. I've updated to the latest version. the share link works
for the standard tv shows but not for the 'movie length' ones such as the
link above. (https://iview.abc.net.au/show/octonauts-and-operation-
deep-freeze). If its not possible do fix it (or a work around) just let
me know and I'll stop bugging you.
P.S. LOVE the program!
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
https://github.com/rg3/youtube-dl/issues/16868#issuecomment-403710036,
or mute the thread
https://github.com/notifications/unsubscribe-auth/AgX0caFg5VzjGWhSBNNeQ42bEQxXf4P1ks5uFENfgaJpZM4U90mG
.

I've think if you search through the page source code you can find the ID for the episode and then use http://[PAGE URL]/video/[VIDEO ID]

I tried to implement @NateWard in #23401. It worked for me on a few cursory tests, but happy for more eyeballs giving it a go (because, you know, you need to give a go to have a go, or something...)

This is no longer an issue, because clicking the play button on movies, on abc iview, redirects to a URL which does work in youtube-dl. That said, youtube-dl should do this redirect automatically, so imo this issue should be kept open.


Anyone got fix ? :)

Please do not ask for proxies
Please do not talk about cheating on public servers.
Please do not talk about how this won't be fixed.

code yourself

Sejo its me david we are making some new bots written C++ it works on agario private server very soon it will support agario servers Add me on my new skype : david12ali9

Warzoz can you help me im kind bad with that :'D
david added u :)


New Instrument Guitar Added(#108)

Description
Guitar instrument added with sound effects
Checklist

[✓] I am making a proper pull request, not spam.
[✓ ] I've checked the issue list before deciding what to submit.

Add relevant screenshot or video (if any)

Awesome @vimalprogrammer

Thank you so much😊!. It's my pleasure @niloysikdar...


Tensorflow failed build due to ImportError: DLL load failed while importing _pywrap_tensorflow_internal: A dynamic link library (DLL) initialization routine failed.

Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
source
TensorFlow version
master branch, commit: a442440
Custom code
No
OS platform and distribution
Windows Server 2022
Mobile device
No response
Python version
3.9
Bazel version
6.3.2
GCC/compiler version
No response
CUDA/cuDNN version
No response
GPU model and memory
No response
Current behavior?
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: A dynamic link library (DLL) initialization routine failed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\tools\api\generator\create_python_api.py", line 22, in
from tensorflow.python.tools.api.generator import doc_srcs
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python_init_.py", line 37, in
from tensorflow.python.tpu import api
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\tpu\api.py", line 22, in
from tensorflow.python.tpu import bfloat16
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\tpu\bfloat16.py", line 20, in
from tensorflow.python.framework import dtypes
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\framework\dtypes.py", line 28, in
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\pywrap_tensorflow.py", line 77, in
raise ImportError(
ImportError: Traceback (most recent call last):
File "C:\Users\CPPTES~1\AppData\Local\Temp\2\Bazel.runfiles_pr3ptqbl\runfiles\org_tensorflow\tensorflow\python\pywrap_tensorflow.py", line 62, in
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: A dynamic link library (DLL) initialization routine failed.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors for some common causes and solutions.
If you need help, create an issue at https://github.com/tensorflow/tensorflow/issues and include the entire stack trace above this error message.
Target //tensorflow/tools/pip_package:build_pip_package failed to build
ERROR: F:/tensorflow/tensorflow/tensorflow/tools/pip_package/BUILD:252:10 Middleman _middlemen/tensorflow_Stools_Spip_Upackage_Sbuild_Upip_Upackage.exe-runfiles failed: (Exit 1): bash.exe failed: error executing command (from target //tensorflow:tf_python_api_gen_v2)
Standalone code to reproduce the issue
git clone https://github.com/tensorflow/tensorflow.git F:\Tensorflow\tensorflow
cd /d F:\Tensorflow\tensorflow
pip3 uninstall -r tensorflow/tools/ci_build/release/requirements_common.txt --yes
pip3 install -r tensorflow/tools/ci_build/release/requirements_common.txt --upgrade
set PATH=F:\Tensorflow\tensorflow\..\tools;%path%
set PATH=F:\Tensorflow\tensorflow\..\tools\msys64\usr\bin;%path%
yes "" 2>nul | python ./configure.py
C:\Python39\python.exe -m pip install --upgrade pip
set TF_PYTHON_VERSION=3.9
set BAZEL_VC=C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC
set BAZEL_VC_FULL_VERSION=14.37.32822
set PATH=F:\Tensorflow\tensorflow\..\tools;%path%
set PATH=F:\Tensorflow\tensorflow\..\tools\msys64\usr\bin;%path%
bazel --output_user_root F:\bazelTemp build --jobs 8 --config=opt --local_ram_resources=4096 --host_cxxopt="/D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" --subcommands //tensorflow/tools/pip_package:build_pip_package

Relevant log output
No response

Hi @Eva-An ,
Normally this type of error occurs if your CPU not supports AVX instruction sets.starting from TF1.6v and higher TF binaries are prebuilt with AVX instruction sets. This means on any CPU that do not have these instruction sets either CPU or GPU version of TF will fail to load with reported error.
Could you please cross check similar issues #19584 , #21977 and let us know if it helps.
Thanks!

Hi @SuryanarayanaY , this is my CPU: Intel(R) Xeon(R) Platinum 8168 CPU. And I check on its official website that it seems to be supportive.

Hi @Eva-An ,
I acknowledge that your CPU do support AVX instruction set. Thanks for confirmation.
Currently nightly versions are building using bazel 6.1.0 whereas you are using higher version which may some times cause incompatibility issues. Could you please try with bazel 6.1.0 and let us know outcome.
Thank you!

Could you please confirm the compiler you are using. Also could you please check whether this flag /D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR is compatible with clang ?


Cant create k8s load balancer if auth is turned on

We apparently make one or two calls to to the rancher API without providing our credentials here:
https://github.com/rancher/kubernetes/blob/rancher/pkg/cloudprovider/providers/rancher/rancher.go#L661-L678
This results in a 401 response code.
We have the creds available to us as environment variables, so we need to use them.
This failure will result in the LB service flapping similarly to https://github.com/rancher/rancher/issues/4036
here's a snippet of logs where this happened:
3/18/2016 2:02:17 PME0318 21:02:17.631650       1 servicecontroller.go:188] Failed to process service delta. Retrying: Failed to create load balancer for service default/frontend: Unable to create load balancer for service lb-a8dec210bed4b11e5ab6702558e111f7. Error: &client.ApiError{StatusCode:422, Url:"http://<IP_ADDRESS>:8080/v1/loadbalancerservices", Msg:"Bad response statusCode [422]. Status [422 status code 422]. Body: [code=NotUnique, fieldName=name] from [http://<IP_ADDRESS>:8080/v1/loadbalancerservices]", Status:"422 status code 422", Body:"code=NotUnique, fieldName=name"}

3/18/2016 2:02:21 PMI0318 21:02:21.278466       1 rancher.go:112] EnsureLoadBalancer [lb-a8dec210bed4b11e5ab6702558e111f7] [Region1] [net.IP(nil)] [[]*api.ServicePort{(*api.ServicePort)(0xc208a0bbd0)}] [[digitalocean2 digitalocean3 digitalocean1]] [None]

3/18/2016 2:02:21 PME0318 21:02:21.544463       1 servicecontroller.go:188] Failed to process service delta. Retrying: Failed to create load balancer for service default/frontend: Unable to create load balancer for service lb-a8dec210bed4b11e5ab6702558e111f7. Error: &client.ApiError{StatusCode:422, Url:"http://<IP_ADDRESS>:8080/v1/loadbalancerservices", Msg:"Bad response statusCode [422]. Status [422 status code 422]. Body: [code=NotUnique, fieldName=name] from [http://<IP_ADDRESS>:8080/v1/loadbalancerservices]", Status:"422 status code 422", Body:"code=NotUnique, fieldName=name"}

3/18/2016 2:02:22 PMI0318 21:02:22.150468       1 rancher.go:112] EnsureLoadBalancer [lb-a8dec210bed4b11e5ab6702558e111f7] [Region1] [net.IP(nil)] [[]*api.ServicePort{(*api.ServicePort)(0xc208a0ac30)}] [[digitalocean2 digitalocean3 digitalocean1]] [None]

3/18/2016 2:02:22 PME0318 21:02:22.428821       1 servicecontroller.go:188] Failed to process service delta. Retrying: Failed to create load balancer for service default/frontend: Unable to create load balancer for service lb-a8dec210bed4b11e5ab6702558e111f7. Error: &client.ApiError{StatusCode:422, Url:"http://<IP_ADDRESS>:8080/v1/loadbalancerservices", Msg:"Bad response statusCode [422]. Status [422 status code 422]. Body: [fieldName=name, code=NotUnique] from [http://<IP_ADDRESS>:8080/v1/loadbalancerservices]", Status:"422 status code 422", Body:"fieldName=name, code=NotUnique"}

3/18/2016 2:02:22 PMI0318 21:02:22.632091       1 rancher.go:112] EnsureLoadBalancer [lb-a8dec210bed4b11e5ab6702558e111f7] [Region1] [net.IP(nil)] [[]*api.ServicePort{(*api.ServicePort)(0xc20872e820)}] [[digitalocean2 digitalocean3 digitalocean1]] [None]

3/18/2016 2:02:30 PME0318 21:02:30.378539       1 servicecontroller.go:188] Failed to process service delta. Retrying: Failed to create load balancer for service default/frontend: Received unexpected response code for [http://<IP_ADDRESS>:8080/v1/loadbalancerservices/1s1329/instances?include=hosts]: [401]. Response body: [{"id":"46e20bcf-3eeb-4d44-8d96-e265c91ecef6","type":"error","links":{},"actions":{},"status":401,"code":"Unauthorized","message":"Unauthorized","detail":null}]

3/18/2016 2:02:30 PMI0318 21:02:30.378683       1 rancher.go:112] EnsureLoadBalancer [lb-a8dec210bed4b11e5ab6702558e111f7] [Region1] [net.IP(nil)] [[]*api.ServicePort{(*api.ServicePort)(0xc208a0bbd0)}] [[digitalocean2 digitalocean3 digitalocean1]] [None]

3/18/2016 2:02:31 PME0318 21:02:31.389463       1 servicecontroller.go:188] Failed to process service delta. Retrying: Failed to create load balancer for service default/frontend: Unable to create load balancer for service lb-a8dec210bed4b11e5ab6702558e111f7. Error: &client.ApiError{StatusCode:422, Url:"http://<IP_ADDRESS>:8080/v1/loadbalancerservices", Msg:"Bad response statusCode [422]. Status [422 status code 422]. Body: [fieldName=name, code=NotUnique] from [http://<IP_ADDRESS>:8080/v1/loadbalancerservices]", Status:"422 status code 422", Body:"fieldName=name, code=NotUnique"}

Note that while the 422 occurs much more often than the 401, it is the 401 that is the root problem.

to avoid the 401s, if @alena1108 doesn't fix on the rancher side, might want to add a wait_success to the LB remove

Verified with v1.0.0-rc1 with local auth on and I was able to add GuestBook (which uses a LB).


Doesn't render in Unity 2019.2.11f1

After updating a project from Unity 2018.4.2f1 to 2019.2.11f1, all icons became invisible.
OS: Windows 10 x64
I've tried other vector icon plugins, but this one makes icons look the best. So, if possible, I'd like to find out what's causing these icons to not render. Also, thanks for all the use I got out of the plugin up to this point!

Hi Ohira,
Thanks for the information!
I will leave this open for now and look into it when I am free :)

I got it working by changing line 63 from
int vertCount = verts.Count - 4;
to
int vertCount = vertsCount;
as I believe there's no newline in the text (as debugging confirms)

Confirmed that removing the "- 4" from the line does, indeed, fix it 👍


AGENTS! (but really just Tools)

Here's a first PR on agents.
This PR introduces the v0 version of Tools, with a run method and a post-processing method.
AgentContext is just a stub.

@dkolas @dkolas @EniasCailliau So so excited for the work going on right now 🙌. To first commit!


Video description not updating

Content in the description tab will not update to the next video's (next item in the queue / in the recommendations / switch to popup then enter another video), unless refreshing the whole page.
Windows 11, Violentmonkey 2.26.0, Firefox & Edge

This is the known issue. There is something unsolvable in this script. I am making a new version of Tabview Youtube.
Check it out at https://greasyfork.org/scripts/501249-tabview-youtube-totara/


Working manually, but not automatically.

I am on Arch Linux with sway.
It works when I run the command in a terminal, but not when I add "exec autotiling-rs" to my config folder

I fixed it by "using exec_always" instead of exec.


Unexpected error happened when crawling a website with too long url

Hi guys,
First, I want to appreciate your effort to create a helpful python package which helps develop RAG much easier.
However, I've met an error when I tried your package and I think it's unexpected. I've figured out (incrawler_strategy.py) in your crawling
strategy, you cached the page source in a temporary file by its URL like following:

But sometimes, the URL is too long and it may cause an error when stored in disk. I propose another way to cache the file such as a random name and k-v dictionary to keep touch URL with the associated cache file

@PhuongBui712 you are very welcome, unfortunately I can't see your screenshot, would you share an example of URL caused such issue? Then I will work on it right away

Thanks for replying. I am sorry about my screenshot. Here is the example notebook about the problem I said. The URL I used is actually a clean URL but it's longer because of encoding/decoding URL.

@PhuongBui712 Thanks for sharing. The issue is resolved; please update to 0.2.4. Great job reporting this, very helpful.

@PhuongBui712 Please remove public access to your Colab and don't keep your GROQ API token there. It's better to remove it and create a new one. That's why I hid your comment, to avoid misuse.

Thanks a lot! I've already checked it before sharing but I don't know how it's still appeared.


pkg/csource/generated.go: fix uninitialized variable when generating kvm poc

pkg/csource/generated.go: fix uninitialized variable when generating kvm poc
The "avl" fields (variable type is u8) of the kvm_segment structure variables such as seg_cs16 and seg_ldt are not initialized to zero. During creation, there is a chance that they are set to values other than 0 or 1, which can cause the "avl" fields to overwrite other fields when executing the fill_segment_descriptor function, leading to erroneous results.

Hi @CookedMelon,
Thanks for fixing this.
As the file comment says:
// Code generated by gen.go from executor/*.h. DO NOT EDIT.

This change need to be made in executor/common_linux.h and then you need to 'make genereate' (or at least make format_cpp/generate_go) to regenerate this file.

You will also need an include for memset.
However, perhaps it's shorter to add  = {0} initializer and then remove initialize initialization of all fields that we init to 0. It won't require the include and will reduce code size a bit.


Wrap the rows in a scroll view to make sure they're always visible.

Thanks for submitting this! As I mentioned in https://github.com/hmarr/vitals/issues/7#issuecomment-805386155, I'd rather avoid making the list scrollable if we can find another solution, so I'll close this out for now.


Cinar/issue69

Describe Request
RSI 2 strategy added.
Fixed #69
Change Type
New feature.

$ node quant.mjs
file:///Users/brandonros/Desktop/quant.mjs:9
  rsi2Strategy,
  ^^^^^^^^^^^^
SyntaxError: Named export 'rsi2Strategy' not found. The requested module 'indicatorts' is a CommonJS module, which may not support all module.exports as named exports.
CommonJS modules can always be imported via the default export, for example using:

import pkg from 'indicatorts';

    at ModuleJob._instantiate (node:internal/modules/esm/module_job:128:21)
    at async ModuleJob.run (node:internal/modules/esm/module_job:194:5)
    at async Promise.all (index 0)
    at async ESMLoader.import (node:internal/modules/esm/loader:385:24)
    at async loadESM (node:internal/process/esm_loader:88:5)
    at async handleMainPromise (node:internal/modules/run_main:61:12)

publish to npm.js maybe?

https://www.npmjs.com/package/indicatorts v1.0.5 published 19 days ago, this was merged 15 days ago


Recovery Hearts in Shadow Temple are showing up when they shouldn't

These two recovery hearts in Shadow Temple show up as checks even though I'm not playing with shuffle_freestanding_items

fixed


Snapdragon: switch to 8kHz sampling

This enables 8kHz sampling for the MPU9250 on the Snapdragon.
The changes which include fixes to the integrator lib have been bench tested on Snapdragon but need regression testing on NuttX and SITL as well.
Presumably, this should address #4330.
@LorenzMeier and @priseborough Please review, as well as: https://github.com/PX4/DriverFramework/pull/57

@julianoes Do you get a proper attitude with these changes?

Yes I do.

@ndepal Can you cross-test this?

@LorenzMeier @ndepal You should now see messages in QGC warning you when the accel full range has been exceeded:
Critical: High accelerations, range exceeded 14 times

@tumbili Can you fly this on Pixhawk and inspect a log of it? I want to be sure it doesn't negatively impact existing drivers. Please share the log muncher link here.

@julianoes @LorenzMeier We tested this on Snapi and it felt good, nothing like before.

@tumbili Yes, but I need the test on Pixhawk as well. The point is to make sure there are no regressions.

Rebased and applied.


Enable tests for alterations Read and update - backward compatibility

Enable alterations test for V1 resource using preview sdk
Ensures backward compatibility

@AlexGhiondea could you please review, approve and merge these changes as applicable?

@AlexGhiondea Could you please merge this as well?


Twilio native support

Is there any plan for that?

I am planning to look into it. It probably wont make the Camel Quarkus 1.2.0 release, but I'll aim to have something completed for 1.3.0 (next month).


TOC orientation

Currently toc is at the beginning, it would be great if we're allowed to select where to show it (for example on the left or on the right side of the page).

Yes it can be a viable option, but it requires some thinking, for instance, what would you expect when viewing on mobile? Also, I guess it would be cool to have it highlight the current "focused" section, something that now is not needed as the TOC gets basically out of the way as soon as you click it.
Feel free to tackle this yourself if you know how to do it, I honestly am not a huge expert on aligning stuff on the web, and I feel this would disrupts a lot of the current implementation.

on mobile it stays as it is now, I don't think there are other viable options. Maybe a good enhancement may it be a button to "go to the top of the page", but this is another matter.

There is already a back to top button at the end of pages, perhaps you're referring to something appearing as you scroll, I guess yes it would be nice to have


MGDOBR-810: Add Cloud Provider and Cloud Region options to the create bridge dialog

JIRA: https://issues.redhat.com/browse/MGDOBR-810
This PR depends on:

https://github.com/5733d9e2be6485d52ffa08870cabdee0/sandbox/pull/899

Once this PR gets approved we can give the green light to the corresponding BE PR.
With this PR we are adding the Cloud Provider and Cloud Region options inside the bridge creation dialog.
We only support one provider and one region, so the user can't change the default selection for both.
Steps to test this:

run the application (only against mocked APIs for now)
click on the "Create Smart Events Instance" button
the new provider and region fields are present and their default values are set
provide a name for the instance
click on the "Create Smart Events Instance" button inside the dialog
the bridge is created and the payload of the request includes cloud provider and cloud region

If no regions are available (meaning the region retrieved has the enabled property set to false) the entire form is disabled and  a warning message is shown. You can test this scenario by manipulating mocks and setting enabled=false to the only existing region.

Waiting with my review until https://github.com/5733d9e2be6485d52ffa08870cabdee0/sandbox/pull/899 is merged


Update Replicate to use multiple outputs

Hi @f90!
This is a follow-up to #9, where we added the Cog configuration and a Replicate demo.
We've now added support for multiple outputs, so we can display each instrument with its own player. Here's a demo of my branch: https://replicate.com/bfirsh/wave-u-net-pytorch
I've also added a little script that downloads the weights from Replicate, because I couldn't figure out the right filenames for them.
If you want to update your Replicate demo, you'll need to run cog push r8.im/f90/wave-u-net-pytorch once you've merged your pull request. (I can also do that for you if you'd like, but I wanted to ask permission before changing your demo!)

Hey @bfirsh !
Great PR, thanks! I checked out your branch locally and installed cog via apt, but I have a problem trying to update the Replicate demo running cog from the project source code root:
cog push r8.im/f90/wave-u-net-pytorch
cog: Cannot load more than one URL.
daniel@Home-Linux:/mnt/linuxssd/Projects/Wave-U-Net-Pytorch$ cog push

** (cog:126207): WARNING **: 15:49:18.360: Platform setup failed: Could not open Wayland display

** (cog:126207): CRITICAL **: 15:49:18.360: WebKitWebViewBackend* webkit_web_view_backend_new(wpe_view_backend*, GDestroyNotify, gpointer): assertion 'backend' failed

** (cog:126207): ERROR **: 15:49:18.360: Could not instantiate any WPE backend.
Trace/Breakpoint ausgelöst (Speicherabzug geschrieben)

Since I don't know cog at all, I am probably just doing something simple wrong here?

Ah! Googling for this error, it looks like this is colliding with another Cog. 😂 https://github.com/Igalia/cog
I should have mentioned in the original PR -- did you install (the machine learning) Cog using the the instructions here? If not, run those first.
If you have run that and still running into this problem, perhaps prefix the command with the full path so it knows which cog to use:
/usr/local/bin/cog push r8.im/f90/wave-u-net-pytorch


Tag is listed incorrectly

Describe the bug
Attempted to pull ghcr.io/dfoxg/kratos-admin-ui:v2.3.1 and received an error
To Reproduce
Steps to reproduce the behavior:

docker pull ghcr.io/dfoxg/kratos-admin-ui:v2.3.1

Expected behavior
The image is retrieved
This is occuring because your tags have changed and v2.3.1 was published as just 2.3.1 https://github.com/dfoxg/kratos-admin-ui/pkgs/container/kratos-admin-ui/201579567?tag=2.3.1
Please can you amend or update the docs

Thanks, I'm gonna fix that!

Fixed with v2.3.2. Thanks!


[Feature][Connector V2] expose configurable options in Hudi

subtask of https://github.com/apache/incubator-seatunnel/issues/3337

Please fix code style check

I have fix code sytle check ;
wating workflows approval ;
@EricJoy2048  THX!

Please resolve conflicts.

fix code style please.

OK。Sorry about that.
CS Setting does not including test source .
I have fix it .

How can I fix this problem ：Dead Links Fail 。
I do nothing but oneline to fix codestyle。 then，it happens。
@EricJoy2048

fix dead link

You need merge dev branch code to fix the dead link.

is there anything to fix?
@EricJoy2048


HAWQ-652. Slicemap in dispatch is mismatched when run multiple query …

…in one session.

LGTM. +1


File path case-insensitivity on Windows

As requested by @isidorn, I'm filing this issue separately.
The issue of case-insensitivity on Windows is basically breaking everything with my experience in C/C++ development, especially when using MSVC toolchain. I have duplicate files opened most of the time (that are not with same path according to vscode, therefore they function as two distinct files):

The problem often (like every 5 minutes) results in this:

Which in turn results in a lot of changes being lost, or serious time waste in trying to merge the two files.
In my humble opinion, this is a major issue in the vscode core for anyone trying to use Windows-only command-line tools. And so it is a problem for extension creators on Windows, as they are required to be extra careful with case-sensitivity required currently by vscode, which does not follow platform guidelines for handling paths.
Also it is very easy to get to this state (using MSVC cppvsdbg), which is the biggest problem:

Open a file from Explorer.
One of the following:
a. Put breakpoint to a C/C++ file. Run debug and get a new file instance each time you step (so even if you close it, the next step will reopen the same file).
c. Open an issue from Problems view and get a new file instance.
d. Open a file from external application with different case in the path (cmd, Total Commander, etc.) and get a new file instance.

In fact you can have dozens of instances of the same file.

Duplicate of https://github.com/Microsoft/vscode/issues/12448


fix: set client ivc test vkeys properly

This fix sets the verification key in client_ivc.test.cpp correctly for function circuits. Previously, the verification key was not being updated properly for the new function circuits.

--------------------------------------------------------------------------------
Benchmark                      Time             CPU   Iterations UserCounters...
--------------------------------------------------------------------------------
ClientIVCBench/Full/6      27297 ms        22546 ms            1 Decider::construct_proof=1 Decider::construct_proof(t)=776.493M ECCVMComposer::compute_commitment_key=1 ECCVMComposer::compute_commitment_key(t)=3.78121M ECCVMComposer::compute_witness=1 ECCVMComposer::compute_witness(t)=1.77129G ECCVMComposer::create_prover=1 ECCVMComposer::create_prover(t)=3.47306G ECCVMComposer::create_proving_key=1 ECCVMComposer::create_proving_key(t)=1.69774G ECCVMProver::construct_proof=1 ECCVMProver::construct_proof(t)=1.78864G Goblin::merge=11 Goblin::merge(t)=130.126M GoblinTranslatorCircuitBuilder::constructor=1 GoblinTranslatorCircuitBuilder::constructor(t)=59.0199M GoblinTranslatorComposer::create_prover=1 GoblinTranslatorComposer::create_prover(t)=119.07M GoblinTranslatorProver::construct_proof=1 GoblinTranslatorProver::construct_proof(t)=934.749M ProtoGalaxyProver_::accumulator_update_round=10 ProtoGalaxyProver_::accumulator_update_round(t)=720.581M ProtoGalaxyProver_::combiner_quotient_round=10 ProtoGalaxyProver_::combiner_quotient_round(t)=7.38002G ProtoGalaxyProver_::perturbator_round=10 ProtoGalaxyProver_::perturbator_round(t)=1.35437G ProtoGalaxyProver_::preparation_round=10 ProtoGalaxyProver_::preparation_round(t)=4.22303G ProtogalaxyProver::fold_instances=10 ProtogalaxyProver::fold_instances(t)=13.678G ProverInstance(Circuit&)=11 ProverInstance(Circuit&)(t)=1.98771G batch_mul_with_endomorphism=30 batch_mul_with_endomorphism(t)=569.263M commit=425 commit(t)=4.05584G compute_combiner=10 compute_combiner(t)=7.3778G compute_perturbator=9 compute_perturbator(t)=1.35396G compute_univariate=48 compute_univariate(t)=1.45556G construct_circuits=6 construct_circuits(t)=4.32967G
Benchmarking lock deleted.
client_ivc_bench.json                  100% 4008   109.7KB/s   00:00
function                                        ms     % sum
construct_circuits(t)                         4330    15.91%
ProverInstance(Circuit&)(t)                   1988     7.30%
ProtogalaxyProver::fold_instances(t)         13678    50.25%
Decider::construct_proof(t)                    776     2.85%
ECCVMComposer::create_prover(t)               3473    12.76%
GoblinTranslatorComposer::create_prover(t)     119     0.44%
ECCVMProver::construct_proof(t)               1789     6.57%
GoblinTranslatorProver::construct_proof(t)     935     3.43%
Goblin::merge(t)                               130     0.48%

Total time accounted for: 27218ms/27297ms = 99.71%

Major contributors:
function                                        ms    % sum
commit(t)                                     4056   14.90%
compute_combiner(t)                           7378   27.11%
compute_perturbator(t)                        1354    4.97%
compute_univariate(t)                         1456    5.35%

Breakdown of ECCVMProver::create_prover:
ECCVMComposer::compute_witness(t)             1771    51.00%
ECCVMComposer::create_proving_key(t)          1698    48.88%

Breakdown of ProtogalaxyProver::fold_instances:
ProtoGalaxyProver_::preparation_round(t)           4223    30.87%
ProtoGalaxyProver_::perturbator_round(t)           1354     9.90%
ProtoGalaxyProver_::combiner_quotient_round(t)     7380    53.96%
ProtoGalaxyProver_::accumulator_update_round(t)     721     5.27%

Please read contributing guidelines and remove this line.

Benchmark results
Metrics with a significant change:

tx_sequencer_processing_time_ms (0): 15.2 (+33%)
note_successful_decrypting_time_in_ms (8): 132 (-41%)

Detailed results
All benchmarks are run on txs on the Benchmarking contract on the repository. Each tx consists of a batch call  to create_note and increment_balance, which guarantees that each tx has a private call, a nested private call, a public call, and a nested public call, as well as an emitted private note, an unencrypted log, and public storage read and write.
This benchmark source data is available in JSON format on S3 here.
Values are compared against data from master at commit c34a299e and shown if the difference exceeds 1%.
L2 block published to L1
Each column represents the number of txs on an L2 block published to L1.

Metric
8 txs
32 txs
64 txs

l1_rollup_calldata_size_in_bytes
5,668
18,820
36,356

l1_rollup_calldata_gas
66,340
239,080
469,868

l1_rollup_execution_gas
667,021
953,990
1,337,225

l2_block_processing_time_in_ms
1,329
4,809 (-1%)
8,883 (-7%)

note_successful_decrypting_time_in_ms
:warning: 132 (-41%)
488 (-12%)
988 (+5%)

note_trial_decrypting_time_in_ms
39.4 (+21%)
101 (+39%)
119 (+66%)

l2_block_building_time_in_ms
18,333 (-2%)
69,361
137,683 (+1%)

l2_block_rollup_simulation_time_in_ms
8,167 (-2%)
28,926
56,852

l2_block_public_tx_process_time_in_ms
10,145 (-2%)
40,379
80,729 (+1%)

L2 chain processing
Each column represents the number of blocks on the L2 chain where each block has 16 txs.

Metric
5 blocks
10 blocks

node_history_sync_time_in_ms
14,164 (+2%)
27,726 (+4%)

note_history_successful_decrypting_time_in_ms
1,253 (+6%)
2,462 (-1%)

note_history_trial_decrypting_time_in_ms
109 (+34%)
152 (-12%)

node_database_size_in_bytes
19,075,152
35,651,664 (-1%)

pxe_database_size_in_bytes
29,859
59,414

Circuits stats
Stats on running time and I/O sizes collected for every circuit run across all benchmarks.

Circuit
circuit_simulation_time_in_ms
circuit_input_size_in_bytes
circuit_output_size_in_bytes

private-kernel-init
282 (-1%)
44,370
27,700

private-kernel-ordering
217
52,324
14,326

base-parity
1,884 (+4%)
128
311

base-rollup
723
177,083
925

root-parity
1,462 (-7%)
1,244
311

root-rollup
68.7
4,487
789

private-kernel-inner
636 (-1%)
73,229
27,700

public-kernel-app-logic
448 (-1%)
35,262
28,215

public-kernel-tail
176 (-1%)
40,926
28,215

merge-rollup
8.26
2,696
925

Tree insertion stats
The duration to insert a fixed batch of leaves into each tree type.

Metric
1 leaves
16 leaves
64 leaves
128 leaves
512 leaves
1024 leaves
2048 leaves
4096 leaves
32 leaves

batch_insert_into_append_only_tree_16_depth_ms
10.1 (+1%)
16.0
N/A
N/A
N/A
N/A
N/A
N/A
N/A

batch_insert_into_append_only_tree_16_depth_hash_count
16.8
31.6
N/A
N/A
N/A
N/A
N/A
N/A
N/A

batch_insert_into_append_only_tree_16_depth_hash_ms
0.590 (+1%)
0.497 (+1%)
N/A
N/A
N/A
N/A
N/A
N/A
N/A

batch_insert_into_append_only_tree_32_depth_ms
N/A
N/A
46.3 (-1%)
72.0
230
447 (+1%)
865
1,719
N/A

batch_insert_into_append_only_tree_32_depth_hash_count
N/A
N/A
96.0
159
543
1,055
2,079
4,127
N/A

batch_insert_into_append_only_tree_32_depth_hash_ms
N/A
N/A
0.475 (-1%)
0.445
0.421
0.418 (+1%)
0.413
0.412
N/A

batch_insert_into_indexed_tree_20_depth_ms
N/A
N/A
54.7
106 (-1%)
336 (-2%)
660
1,302 (-1%)
2,606
N/A

batch_insert_into_indexed_tree_20_depth_hash_count
N/A
N/A
104
207
691
1,363
2,707
5,395
N/A

batch_insert_into_indexed_tree_20_depth_hash_ms
N/A
N/A
0.489
0.480 (-1%)
0.458 (-1%)
0.455
0.453 (-1%)
0.453
N/A

batch_insert_into_indexed_tree_40_depth_ms
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
61.5

batch_insert_into_indexed_tree_40_depth_hash_count
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
109

batch_insert_into_indexed_tree_40_depth_hash_ms
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.539 (+1%)

Miscellaneous
Transaction sizes based on how many contract classes are registered in the tx.

Metric
0 registered classes

tx_size_in_bytes
22,014

Transaction processing duration by data writes.

Metric
0 new note hashes
1 new note hashes

tx_pxe_processing_time_ms
3,248 (-2%)
1,739 (-1%)

Metric
0 public data writes
1 public data writes

tx_sequencer_processing_time_ms
:warning: 15.2 (+33%)
1,252

Replaced by https://github.com/AztecProtocol/aztec-packages/pull/5315. Instead of comparing verification key public inputs with transcript public inputs, we just use the transcript ones. The verification key public inputs shouldn't exist.


MongoDbStorage upgrade

Fixes https://github.com/doctrine/KeyValueStore/issues/93
Things done:

drop PHP 5.5 support: mongodb package, Travis, PHP itself, etc... nobody is supporting it anymore
replaced deprecated ext-mongo with mongodb/mongodb:^1.4
changed unit test for MongoDB with an integration test

@alcaeus I've moved from the client to the database instance 👍
can you check also for the typeMap note you added?

@alcaeus updated


fixed ValueError in tensorflow/examples/skflow/mnist_weights.py

Solution to #3083.
I replaced mnist.train.images with mnist.train.images.astype(np.float32) and mnist.train.labels with mnist.train.labels.astype(np.int).

Can one of the admins verify this patch?

I'm closing this PR, as we seem to agree that this is not the right fix.


^FT Field Typeset is not handled correctly for default x & y values.

I noticed that the ^FT command is not rendered correctly when x & y are not specified.
It should follow on from the end position of the last field.
You can see the following ZPL is rendered correctly on labelary.com.
^XA
^FT50,50^A0N,50,50^FDText Box^FS
^FT^A0R,50,50^FDText Box^FS
^FT^A0I,50,50^FDText Box^FS
^FT^A0B,50,50^FDText Box^FS
^XZ

This is relatively significant change, which is not simple to achieve with the current analyze-then-draw paradigm.
I think the following would be required:

The VirtualPrinter will need to keep track of the last drawn position. Every ElementDrawer will need to be responsible for updating this.
PositionX and PositionY of ZplPositionedElementBase will likely need to be nullable. Every Drawer and Renderer will need to be updated to accomodate this. In particular, using (0, 0) as defaults if ^FO is in effect, or (LastDrawnPosition.X, LastDrawPosition.Y) under ^FT.


[FEATURE] We should not expose 'prevent_destroy' attribute in Terraform 'harvester_clusternetworks' resource

Is your feature request related to a problem? Please describe.
If the prevent_destroy attribute is set to false, executing terraform destroy will delete the special vlan resource, which causes the VIP to become non-functional. Furthermore, the networking config is no longer available in the UI. We should not expose the prevent_destroy option to prevent user from shooting-themselves-in-the-foot.
Describe the solution you'd like
Make the vlan resource immutable to deletion, or at least make it insanely hard to delete as deleting it could damage the entire cluster.
Describe alternatives you've considered
Put a big red warning in the documentation indication the consequences of deleting the special vlan resource.
Additional context
Use the following terraform script to reproduce the problem:
resource "harvester_clusternetwork" "vlan" {
  lifecycle {
    prevent_destroy = false
  }
  name                 = "vlan"
  enable               = true
  default_physical_nic = "harvester-mgmt"
}

@futuretea what's the use case for prevent_destory=false scenario?

Looks like prevent_destroy is part of TF lifecycle management. https://www.terraform.io/docs/language/meta-arguments/lifecycle.html
However, we still need to find a way to guard against accidental deletion of the vlan resource as deleting it will have adverse impact on the cluster.

@guangyee release v0.2.6. If users try to destory clusternetwork, will see "clusternetwork should not be destroyed, to avoid this error and continue with the plan, either move clusternetwork to another module or reduce the scope of the plan using the -target flag"


heap 监控不显示图片，一般是因为什么？后台执行tools/pprof命令可以显示

Describe the bug (描述bug)

To Reproduce (复现方法)
Expected behavior (期望行为)
Versions (各种版本)
OS:
Compiler:
brpc:
protobuf:
Additional context/screenshots (更多上下文/截图)

We close this issue because it is irreproducible and inactive for a long time.
If you can reproduce this issue with the latest version of bRPC, please reopen this issue and tell us how to reproduce.


Wrapped line commenting duplicates [+] button, hides button on hover, and the upper one doesn't work

Description
Actual
When there's a diff chunk with a wrapped line:

there are 2 plus buttons (for adding a comment)
when hovering over line gutter, the buttons disappear
clicking on the upper button of the two buttons is a no-op

https://github.com/microsoft/vscode/assets/16353531/64cde328-48cb-4a5d-a517-b5cd38f49de0
Expected
There is a single (vertically long?) plus button that doesn't disappear on hover.
Repro

Have a diff chunk of a single line that's wrapped

there are 2 plus buttons (for adding a comment)

Duplicate of https://github.com/microsoft/vscode/issues/156838

when hovering over line gutter, the buttons disappear
clicking on the upper button of the two buttons is a no-op

This I can't repro! I've tried zooming in and out to see if that causes it, but no luck. Can you share all your settings?

when hovering over line gutter, the buttons disappear
clicking on the upper button of the two buttons is a no-op

Oh, it seems I can only repro on web - github.dev:
https://github.com/microsoft/vscode/assets/16353531/bb75f07b-e36c-4f9d-b4af-0e07599b29ea

Hmm. I still can't repro. What browser are you using?

I use chrome Version 124.0.6367.119 (Official Build) (arm64)

This issue has been closed automatically because it needs more information and has not had recent activity. See also our issue reporting guidelines.
Happy Coding!

I still can't repro https://github.com/microsoft/vscode/issues/211871#issuecomment-2093252136. If you still see this then let's look together. Closing as a duplicate of https://github.com/microsoft/vscode/issues/156838


Passing a String to JS removes BOM (FEFF)

Summary
Consider this function:
#[wasm_bindgen]
fn foo() -> String { "\u{feff}bar".to_owned() }

But in JS, I only get the string "bar" - the BOM is stripped. Is this intended? I can't seem to find info about this neither here nor here.
Additional Details
I use wasm-bindgen = "0.2.50" and rustc 1.39.0-nightly (bea0372a1 2019-08-20).

This is expected. Rust strings are UTF-8, but JavaScript strings are UTF-16, so it has to transcode the string.
This transcoding doesn't necessarily round-trip (e.g. it strips out BOM, and also replaces unpaired surrogates with the replacement character).
This isn't caused by Rust or wasm-bindgen, instead it's just how JavaScript itself behaves. Here's a JavaScript program to demonstrate:
var input = "\u{feff}bar";
var output = new TextDecoder("utf8").decode(new TextEncoder("utf8").encode(input))
console.log(input[0]);
console.log(output[0]);

As you can see, it stripped out the BOM.

After looking into it some more, there is an ignoreBOM option, which causes BOM to round-trip:
var input = "\u{feff}bar";
var output = new TextDecoder("utf8", { ignoreBOM: true }).decode(new TextEncoder("utf8").encode(input))
console.log(input[0]);
console.log(output[0]);

So we could change wasm-bindgen so it does that. But I'm curious: what's your use case?

I think setting ignoreBom to true is a good idea, as there is no fundamental reason why UTF-8 (which has no BOM in Rust) -> UTF-16 should remove BOMs (in contrast to the unpaired surrogates, which can't be ignored when converting UTF-16 -> UTF-8).
Concerning my "use case": I just pass (user-supplied) strings from Rust to JS and back again, and I was very confused that this changes some strings - this is just a minimal repro.