RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM RAxML-NG was called at 04-Jul-2021 05:19:54 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/2_msa/A0A075B6R2_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2 --seed 2 --threads 2 --tree rand{20} pars{20} Analysis options: run mode: ML tree search start tree(s): random (20) random seed: 2 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON fast spr radius: AUTO spr subtree cutoff: 1.000000 branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (2 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/2_msa/A0A075B6R2_trimmed_msa.fasta [00:00:00] Loaded alignment with 1000 taxa and 95 sites WARNING: Sequences sp_P01806_HVM36_MOUSE_10090 and sp_P01807_HVM37_MOUSE_10090 are exactly identical! WARNING: Sequences sp_P01806_HVM36_MOUSE_10090 and sp_P01808_HVM38_MOUSE_10090 are exactly identical! WARNING: Sequences tr_G1QB32_G1QB32_MYOLU_59463 and tr_G1QBC9_G1QBC9_MYOLU_59463 are exactly identical! WARNING: Sequences tr_G1QBP2_G1QBP2_MYOLU_59463 and tr_G1QG99_G1QG99_MYOLU_59463 are exactly identical! WARNING: Sequences tr_H2NMG9_H2NMG9_PONAB_9601 and tr_H2NMK3_H2NMK3_PONAB_9601 are exactly identical! WARNING: Sequences tr_A0A2I3RLU3_A0A2I3RLU3_PANTR_9598 and tr_A0A2I3TTC1_A0A2I3TTC1_PANTR_9598 are exactly identical! WARNING: Sequences tr_A0A2I3RT04_A0A2I3RT04_PANTR_9598 and tr_A0A2R9BGQ2_A0A2R9BGQ2_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3SLP9_A0A2I3SLP9_PANTR_9598 and tr_A0A2R8ZD36_A0A2R8ZD36_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A2I3TKA3_A0A2I3TKA3_PANTR_9598 and tr_A0A2R8ZT41_A0A2R8ZT41_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2REE2_H2REE2_PANTR_9598 and tr_A0A2R9BPV8_A0A2R9BPV8_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2RIL7_H2RIL7_PANTR_9598 and tr_A0A2R8ZD60_A0A2R8ZD60_PANPA_9597 are exactly identical! WARNING: Sequences tr_F6UMB3_F6UMB3_ORNAN_9258 and tr_F6UMB9_F6UMB9_ORNAN_9258 are exactly identical! WARNING: Sequences tr_F6UMB3_F6UMB3_ORNAN_9258 and tr_F6WX17_F6WX17_ORNAN_9258 are exactly identical! WARNING: Sequences tr_F7B7I0_F7B7I0_ORNAN_9258 and tr_F7DZW1_F7DZW1_ORNAN_9258 are exactly identical! WARNING: Sequences tr_A0A0G2K3L1_A0A0G2K3L1_RAT_10116 and tr_A0A0G2K8C3_A0A0G2K8C3_RAT_10116 are exactly identical! WARNING: Sequences sp_P01768_HV330_HUMAN_9606 and sp_P0DP03_HV335_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A1D5QWN5_A0A1D5QWN5_MACMU_9544 and tr_A0A2I3N4K5_A0A2I3N4K5_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5QWN5_A0A1D5QWN5_MACMU_9544 and tr_A0A2K6AZ28_A0A2K6AZ28_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5RHL0_A0A1D5RHL0_MACMU_9544 and tr_A0A2I3LGI1_A0A2I3LGI1_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A1D5RHL0_A0A1D5RHL0_MACMU_9544 and tr_A0A2K6D0G6_A0A2K6D0G6_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5RHL0_A0A1D5RHL0_MACMU_9544 and tr_A0A2K5XSZ2_A0A2K5XSZ2_MANLE_9568 are exactly identical! WARNING: Sequences tr_K7FF02_K7FF02_PELSI_13735 and tr_K7GGJ2_K7GGJ2_PELSI_13735 are exactly identical! WARNING: Sequences tr_K7FZ52_K7FZ52_PELSI_13735 and tr_K7G3Z9_K7G3Z9_PELSI_13735 are exactly identical! WARNING: Sequences tr_A0A1B8Y629_A0A1B8Y629_XENTR_8364 and tr_F7AYR9_F7AYR9_XENTR_8364 are exactly identical! WARNING: Sequences tr_A0A1B8Y633_A0A1B8Y633_XENTR_8364 and tr_L7N2R5_L7N2R5_XENTR_8364 are exactly identical! WARNING: Sequences tr_A0A1B8Y635_A0A1B8Y635_XENTR_8364 and tr_L7N2R3_L7N2R3_XENTR_8364 are exactly identical! WARNING: Sequences tr_A0A1B8Y640_A0A1B8Y640_XENTR_8364 and tr_F7ANK9_F7ANK9_XENTR_8364 are exactly identical! WARNING: Sequences tr_A0A1B8Y659_A0A1B8Y659_XENTR_8364 and tr_L7N3Y2_L7N3Y2_XENTR_8364 are exactly identical! WARNING: Sequences tr_A0A096NK93_A0A096NK93_PAPAN_9555 and tr_A0A0D9R9G5_A0A0D9R9G5_CHLSB_60711 are exactly identical! WARNING: Duplicate sequences found: 29 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.reduced.phy Alignment comprises 1 partitions and 95 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 95 / 95 Gaps: 0.73 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.rba Parallelization scheme autoconfig: 2 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 1000 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 95 / 7600 [00:00:00] Data distribution: max. searches per worker: 10 Starting ML tree search with 20 distinct starting trees [00:00:00 -127320.840831] Initial branch length optimization [00:00:01 -110858.549433] Model parameter optimization (eps = 10.000000) [00:00:24 -110254.566833] AUTODETECT spr round 1 (radius: 5) [00:02:00 -79235.190628] AUTODETECT spr round 2 (radius: 10) [00:03:47 -63247.643425] AUTODETECT spr round 3 (radius: 15) [00:05:43 -54873.431227] AUTODETECT spr round 4 (radius: 20) [00:08:07 -50370.299159] AUTODETECT spr round 5 (radius: 25) [00:10:58 -47421.977068] SPR radius for FAST iterations: 25 (autodetect) [00:10:58 -47421.977068] Model parameter optimization (eps = 3.000000) [00:11:16 -47184.894558] FAST spr round 1 (radius: 25) [00:13:38 -41477.306813] FAST spr round 2 (radius: 25) [00:15:21 -40667.905275] FAST spr round 3 (radius: 25) [00:16:52 -40455.603282] FAST spr round 4 (radius: 25) [00:18:18 -40433.747840] FAST spr round 5 (radius: 25) [00:19:36 -40429.003882] FAST spr round 6 (radius: 25) [00:20:52 -40429.003874] Model parameter optimization (eps = 1.000000) [00:21:01 -40428.025994] SLOW spr round 1 (radius: 5) [00:22:42 -40420.258788] SLOW spr round 2 (radius: 5) [00:24:20 -40418.509447] SLOW spr round 3 (radius: 5) [00:25:55 -40418.509237] SLOW spr round 4 (radius: 10) [00:27:30 -40417.128401] SLOW spr round 5 (radius: 5) [00:29:23 -40416.592454] SLOW spr round 6 (radius: 5) [00:31:06 -40416.495528] SLOW spr round 7 (radius: 10) [00:32:44 -40415.842904] SLOW spr round 8 (radius: 5) [00:34:36 -40415.842884] SLOW spr round 9 (radius: 10) [00:36:22 -40415.842884] SLOW spr round 10 (radius: 15) [00:39:00 -40364.041916] SLOW spr round 11 (radius: 5) [00:41:00 -40318.163992] SLOW spr round 12 (radius: 5) [00:42:45 -40315.087624] SLOW spr round 13 (radius: 5) [00:44:23 -40315.087372] SLOW spr round 14 (radius: 10) [00:46:00 -40314.551461] SLOW spr round 15 (radius: 5) [00:47:52 -40314.303806] SLOW spr round 16 (radius: 5) [00:49:33 -40314.303735] SLOW spr round 17 (radius: 10) [00:51:11 -40314.303735] SLOW spr round 18 (radius: 15) [00:53:53 -40307.021445] SLOW spr round 19 (radius: 5) [00:55:50 -40302.311739] SLOW spr round 20 (radius: 5) [00:57:34 -40301.114105] SLOW spr round 21 (radius: 5) [00:59:12 -40301.114101] SLOW spr round 22 (radius: 10) [01:00:48 -40300.991528] SLOW spr round 23 (radius: 5) [01:02:42 -40298.014325] SLOW spr round 24 (radius: 5) [01:04:23 -40298.014325] SLOW spr round 25 (radius: 10) [01:06:00 -40298.014325] SLOW spr round 26 (radius: 15) [01:08:46 -40295.964749] SLOW spr round 27 (radius: 5) [01:10:43 -40295.958887] SLOW spr round 28 (radius: 10) [01:12:32 -40295.958365] SLOW spr round 29 (radius: 15) [01:15:05 -40295.884048] SLOW spr round 30 (radius: 20) [01:18:53 -40293.241536] SLOW spr round 31 (radius: 5) [01:20:52 -40292.146768] SLOW spr round 32 (radius: 5) [01:22:38 -40292.146767] SLOW spr round 33 (radius: 10) [01:24:18 -40292.146767] SLOW spr round 34 (radius: 15) [01:27:01 -40289.944972] SLOW spr round 35 (radius: 5) [01:28:57 -40289.747732] SLOW spr round 36 (radius: 5) [01:30:41 -40289.747732] SLOW spr round 37 (radius: 10) [01:32:21 -40288.224172] SLOW spr round 38 (radius: 5) [01:34:15 -40284.933857] SLOW spr round 39 (radius: 5) [01:35:58 -40284.933851] SLOW spr round 40 (radius: 10) [01:37:36 -40284.933851] SLOW spr round 41 (radius: 15) [01:40:21 -40284.933851] SLOW spr round 42 (radius: 20) [01:44:06 -40284.933851] SLOW spr round 43 (radius: 25) [01:46:02] [worker #1] ML tree search #2, logLikelihood: -40324.942788 [01:48:25 -40284.933851] Model parameter optimization (eps = 0.100000) [01:48:33] [worker #0] ML tree search #1, logLikelihood: -40284.756120 [01:48:33 -126994.863663] Initial branch length optimization [01:48:34 -110432.146664] Model parameter optimization (eps = 10.000000) [01:49:03 -109817.862426] AUTODETECT spr round 1 (radius: 5) [01:50:41 -79852.295981] AUTODETECT spr round 2 (radius: 10) [01:52:28 -64729.387869] AUTODETECT spr round 3 (radius: 15) [01:54:27 -55533.240956] AUTODETECT spr round 4 (radius: 20) [01:57:02 -50511.752666] AUTODETECT spr round 5 (radius: 25) [01:59:42 -48125.729396] SPR radius for FAST iterations: 25 (autodetect) [01:59:42 -48125.729396] Model parameter optimization (eps = 3.000000) [02:00:04 -47874.693692] FAST spr round 1 (radius: 25) [02:02:28 -41239.005348] FAST spr round 2 (radius: 25) [02:04:14 -40553.333650] FAST spr round 3 (radius: 25) [02:05:45 -40502.780028] FAST spr round 4 (radius: 25) [02:07:08 -40488.542895] FAST spr round 5 (radius: 25) [02:08:28 -40483.476914] FAST spr round 6 (radius: 25) [02:09:47 -40481.021636] FAST spr round 7 (radius: 25) [02:11:03 -40481.021360] Model parameter optimization (eps = 1.000000) [02:11:15 -40478.121915] SLOW spr round 1 (radius: 5) [02:12:57 -40466.090666] SLOW spr round 2 (radius: 5) [02:14:35 -40458.285495] SLOW spr round 3 (radius: 5) [02:16:10 -40456.947466] SLOW spr round 4 (radius: 5) [02:17:43 -40456.947425] SLOW spr round 5 (radius: 10) [02:19:21 -40450.671403] SLOW spr round 6 (radius: 5) [02:21:17 -40443.799890] SLOW spr round 7 (radius: 5) [02:23:00 -40443.794843] SLOW spr round 8 (radius: 10) [02:24:41 -40376.338147] SLOW spr round 9 (radius: 5) [02:26:35 -40360.884391] SLOW spr round 10 (radius: 5) [02:28:21 -40358.963145] SLOW spr round 11 (radius: 5) [02:29:58 -40358.963144] SLOW spr round 12 (radius: 10) [02:31:34 -40358.481428] SLOW spr round 13 (radius: 5) [02:33:28 -40357.154779] SLOW spr round 14 (radius: 5) [02:35:11 -40357.154764] SLOW spr round 15 (radius: 10) [02:36:50 -40356.821686] SLOW spr round 16 (radius: 5) [02:38:42 -40356.821670] SLOW spr round 17 (radius: 10) [02:40:29 -40356.507258] SLOW spr round 18 (radius: 5) [02:42:19 -40356.507235] SLOW spr round 19 (radius: 10) [02:44:04 -40356.281737] SLOW spr round 20 (radius: 5) [02:45:55 -40356.281736] SLOW spr round 21 (radius: 10) [02:47:41 -40356.281736] SLOW spr round 22 (radius: 15) [02:50:12 -40356.281736] SLOW spr round 23 (radius: 20) [02:53:25 -40354.031498] SLOW spr round 24 (radius: 5) [02:55:23 -40354.031485] SLOW spr round 25 (radius: 10) [02:57:18 -40354.031485] SLOW spr round 26 (radius: 15) [02:59:44 -40354.031485] SLOW spr round 27 (radius: 20) [03:02:59 -40354.031485] SLOW spr round 28 (radius: 25) [03:06:03] [worker #1] ML tree search #4, logLikelihood: -40383.149229 [03:06:15 -40354.031485] Model parameter optimization (eps = 0.100000) [03:06:19] [worker #0] ML tree search #3, logLikelihood: -40354.007609 [03:06:19 -127698.545225] Initial branch length optimization [03:06:21 -110481.661331] Model parameter optimization (eps = 10.000000) [03:06:58 -109851.932172] AUTODETECT spr round 1 (radius: 5) [03:08:36 -79543.153560] AUTODETECT spr round 2 (radius: 10) [03:10:24 -62693.283742] AUTODETECT spr round 3 (radius: 15) [03:12:24 -53458.256881] AUTODETECT spr round 4 (radius: 20) [03:14:31 -51396.231990] AUTODETECT spr round 5 (radius: 25) [03:16:40 -50117.677409] SPR radius for FAST iterations: 25 (autodetect) [03:16:40 -50117.677409] Model parameter optimization (eps = 3.000000) [03:17:03 -49891.435058] FAST spr round 1 (radius: 25) [03:19:30 -41215.441920] FAST spr round 2 (radius: 25) [03:21:14 -40466.268720] FAST spr round 3 (radius: 25) [03:22:48 -40394.163867] FAST spr round 4 (radius: 25) [03:24:17 -40373.918874] FAST spr round 5 (radius: 25) [03:25:36 -40373.918834] Model parameter optimization (eps = 1.000000) [03:25:47 -40363.638487] SLOW spr round 1 (radius: 5) [03:27:32 -40348.003160] SLOW spr round 2 (radius: 5) [03:29:13 -40341.469037] SLOW spr round 3 (radius: 5) [03:30:49 -40341.469025] SLOW spr round 4 (radius: 10) [03:32:25 -40339.713981] SLOW spr round 5 (radius: 5) [03:34:20 -40337.874902] SLOW spr round 6 (radius: 5) [03:36:04 -40336.919962] SLOW spr round 7 (radius: 5) [03:37:43 -40336.919958] SLOW spr round 8 (radius: 10) [03:39:20 -40335.806824] SLOW spr round 9 (radius: 5) [03:41:13 -40335.806809] SLOW spr round 10 (radius: 10) [03:43:00 -40335.368966] SLOW spr round 11 (radius: 5) [03:44:54 -40333.929110] SLOW spr round 12 (radius: 5) [03:46:39 -40333.609825] SLOW spr round 13 (radius: 5) [03:48:16 -40333.609800] SLOW spr round 14 (radius: 10) [03:49:52 -40333.403986] SLOW spr round 15 (radius: 5) [03:51:45 -40333.403689] SLOW spr round 16 (radius: 10) [03:53:33 -40328.717797] SLOW spr round 17 (radius: 5) [03:55:28 -40328.305979] SLOW spr round 18 (radius: 5) [03:57:11 -40328.257702] SLOW spr round 19 (radius: 10) [03:58:47 -40328.257165] SLOW spr round 20 (radius: 15) [04:01:34 -40323.931087] SLOW spr round 21 (radius: 5) [04:03:30 -40323.931074] SLOW spr round 22 (radius: 10) [04:05:19 -40323.931072] SLOW spr round 23 (radius: 15) [04:07:51 -40322.905891] SLOW spr round 24 (radius: 5) [04:09:47 -40322.867921] SLOW spr round 25 (radius: 10) [04:11:37 -40322.866507] SLOW spr round 26 (radius: 15) [04:14:09 -40322.057468] SLOW spr round 27 (radius: 5) [04:16:03 -40322.053920] SLOW spr round 28 (radius: 10) [04:17:53 -40322.053862] SLOW spr round 29 (radius: 15) [04:20:24 -40321.857845] SLOW spr round 30 (radius: 5) [04:22:20 -40320.804031] SLOW spr round 31 (radius: 5) [04:24:04 -40320.576703] SLOW spr round 32 (radius: 5) [04:25:42 -40320.576692] SLOW spr round 33 (radius: 10) [04:27:16 -40320.576692] SLOW spr round 34 (radius: 15) [04:30:07 -40315.503388] SLOW spr round 35 (radius: 5) [04:32:02 -40315.503384] SLOW spr round 36 (radius: 10) [04:33:51 -40315.503384] SLOW spr round 37 (radius: 15) [04:36:23 -40314.107358] SLOW spr round 38 (radius: 5) [04:38:19 -40314.107326] SLOW spr round 39 (radius: 10) [04:40:09 -40314.107325] SLOW spr round 40 (radius: 15) [04:42:39 -40313.164261] SLOW spr round 41 (radius: 5) [04:44:34 -40313.164258] SLOW spr round 42 (radius: 10) [04:46:24 -40313.164258] SLOW spr round 43 (radius: 15) [04:48:55 -40313.081125] SLOW spr round 44 (radius: 20) [04:52:17 -40311.725446] SLOW spr round 45 (radius: 5) [04:54:14 -40311.725389] SLOW spr round 46 (radius: 10) [04:56:09 -40311.725389] SLOW spr round 47 (radius: 15) [04:58:39 -40311.725389] SLOW spr round 48 (radius: 20) [05:02:02 -40311.725389] SLOW spr round 49 (radius: 25) [05:05:30 -40311.725389] Model parameter optimization (eps = 0.100000) [05:05:36] [worker #0] ML tree search #5, logLikelihood: -40311.511238 [05:05:36 -127387.270096] Initial branch length optimization [05:05:38 -110908.799775] Model parameter optimization (eps = 10.000000) [05:06:00 -110264.899350] AUTODETECT spr round 1 (radius: 5) [05:07:37 -80612.266965] AUTODETECT spr round 2 (radius: 10) [05:09:26 -63892.081637] AUTODETECT spr round 3 (radius: 15) [05:11:24 -53545.626344] AUTODETECT spr round 4 (radius: 20) [05:13:47 -49538.954349] AUTODETECT spr round 5 (radius: 25) [05:16:20 -47725.377712] SPR radius for FAST iterations: 25 (autodetect) [05:16:20 -47725.377712] Model parameter optimization (eps = 3.000000) [05:16:38 -47449.331375] FAST spr round 1 (radius: 25) [05:18:52 -40840.375628] FAST spr round 2 (radius: 25) [05:20:37 -40414.844205] FAST spr round 3 (radius: 25) [05:22:08 -40343.553452] FAST spr round 4 (radius: 25) [05:23:33 -40333.472389] FAST spr round 5 (radius: 25) [05:23:36] [worker #1] ML tree search #6, logLikelihood: -40234.213009 [05:24:51 -40330.711566] FAST spr round 6 (radius: 25) [05:26:09 -40330.711467] Model parameter optimization (eps = 1.000000) [05:26:22 -40328.838027] SLOW spr round 1 (radius: 5) [05:28:05 -40313.900839] SLOW spr round 2 (radius: 5) [05:29:42 -40311.854353] SLOW spr round 3 (radius: 5) [05:31:19 -40307.111090] SLOW spr round 4 (radius: 5) [05:32:52 -40307.111079] SLOW spr round 5 (radius: 10) [05:34:29 -40301.996906] SLOW spr round 6 (radius: 5) [05:36:24 -40296.889811] SLOW spr round 7 (radius: 5) [05:38:10 -40295.121885] SLOW spr round 8 (radius: 5) [05:39:48 -40295.121788] SLOW spr round 9 (radius: 10) [05:41:23 -40294.140038] SLOW spr round 10 (radius: 5) [05:43:15 -40294.140021] SLOW spr round 11 (radius: 10) [05:44:59 -40293.426108] SLOW spr round 12 (radius: 5) [05:46:53 -40291.067790] SLOW spr round 13 (radius: 5) [05:48:35 -40291.067706] SLOW spr round 14 (radius: 10) [05:50:12 -40291.047392] SLOW spr round 15 (radius: 15) [05:52:53 -40286.046465] SLOW spr round 16 (radius: 5) [05:54:51 -40281.168793] SLOW spr round 17 (radius: 5) [05:56:37 -40281.168764] SLOW spr round 18 (radius: 10) [05:58:14 -40281.168759] SLOW spr round 19 (radius: 15) [06:00:49 -40280.980731] SLOW spr round 20 (radius: 5) [06:02:45 -40280.643690] SLOW spr round 21 (radius: 5) [06:04:30 -40280.643685] SLOW spr round 22 (radius: 10) [06:06:07 -40280.643684] SLOW spr round 23 (radius: 15) [06:08:41 -40280.643683] SLOW spr round 24 (radius: 20) [06:11:58 -40280.237402] SLOW spr round 25 (radius: 5) [06:13:55 -40278.001724] SLOW spr round 26 (radius: 5) [06:15:39 -40278.001654] SLOW spr round 27 (radius: 10) [06:17:16 -40278.001654] SLOW spr round 28 (radius: 15) [06:19:50 -40278.001654] SLOW spr round 29 (radius: 20) [06:23:08 -40277.846300] SLOW spr round 30 (radius: 5) [06:25:06 -40276.292070] SLOW spr round 31 (radius: 5) [06:26:52 -40276.291987] SLOW spr round 32 (radius: 10) [06:28:32 -40273.150177] SLOW spr round 33 (radius: 5) [06:30:24 -40272.417063] SLOW spr round 34 (radius: 5) [06:32:06 -40272.417035] SLOW spr round 35 (radius: 10) [06:33:42 -40272.417035] SLOW spr round 36 (radius: 15) [06:36:21 -40272.117285] SLOW spr round 37 (radius: 5) [06:38:16 -40272.117234] SLOW spr round 38 (radius: 10) [06:40:03 -40272.117234] SLOW spr round 39 (radius: 15) [06:42:28 -40272.117234] SLOW spr round 40 (radius: 20) [06:45:52 -40270.345667] SLOW spr round 41 (radius: 5) [06:47:49 -40270.213687] SLOW spr round 42 (radius: 5) [06:49:34 -40270.213665] SLOW spr round 43 (radius: 10) [06:50:25] [worker #1] ML tree search #8, logLikelihood: -40276.904431 [06:51:11 -40269.803421] SLOW spr round 44 (radius: 5) [06:53:03 -40269.803400] SLOW spr round 45 (radius: 10) [06:54:45 -40269.803400] SLOW spr round 46 (radius: 15) [06:57:13 -40269.803400] SLOW spr round 47 (radius: 20) [07:00:34 -40268.578668] SLOW spr round 48 (radius: 5) [07:02:32 -40267.995870] SLOW spr round 49 (radius: 5) [07:04:17 -40267.995868] SLOW spr round 50 (radius: 10) [07:05:54 -40267.995868] SLOW spr round 51 (radius: 15) [07:08:29 -40267.995868] SLOW spr round 52 (radius: 20) [07:11:46 -40267.976010] SLOW spr round 53 (radius: 25) [07:15:05 -40266.047718] SLOW spr round 54 (radius: 5) [07:17:03 -40266.047709] SLOW spr round 55 (radius: 10) [07:18:57 -40266.047709] SLOW spr round 56 (radius: 15) [07:21:18 -40266.047709] SLOW spr round 57 (radius: 20) [07:24:41 -40265.668979] SLOW spr round 58 (radius: 5) [07:26:39 -40263.874614] SLOW spr round 59 (radius: 5) [07:28:24 -40263.874240] SLOW spr round 60 (radius: 10) [07:30:01 -40263.874061] SLOW spr round 61 (radius: 15) [07:32:34 -40263.873949] SLOW spr round 62 (radius: 20) [07:35:51 -40263.873877] SLOW spr round 63 (radius: 25) [07:39:14 -40263.873832] Model parameter optimization (eps = 0.100000) [07:39:19] [worker #0] ML tree search #7, logLikelihood: -40263.853480 [07:39:20 -128123.890879] Initial branch length optimization [07:39:21 -111095.068879] Model parameter optimization (eps = 10.000000) [07:39:41 -110473.025220] AUTODETECT spr round 1 (radius: 5) [07:41:18 -81446.455318] AUTODETECT spr round 2 (radius: 10) [07:43:09 -64778.324368] AUTODETECT spr round 3 (radius: 15) [07:45:13 -55875.464857] AUTODETECT spr round 4 (radius: 20) [07:47:54 -49869.533971] AUTODETECT spr round 5 (radius: 25) [07:50:45 -47913.271972] SPR radius for FAST iterations: 25 (autodetect) [07:50:45 -47913.271972] Model parameter optimization (eps = 3.000000) [07:51:04 -47672.229682] FAST spr round 1 (radius: 25) [07:53:24 -41376.983773] FAST spr round 2 (radius: 25) [07:55:07 -40487.369926] FAST spr round 3 (radius: 25) [07:56:41 -40351.041335] FAST spr round 4 (radius: 25) [07:58:05 -40340.785667] FAST spr round 5 (radius: 25) [07:59:23 -40340.784890] Model parameter optimization (eps = 1.000000) [07:59:34 -40337.967501] SLOW spr round 1 (radius: 5) [08:01:19 -40327.065469] SLOW spr round 2 (radius: 5) [08:02:58 -40321.985211] SLOW spr round 3 (radius: 5) [08:04:35 -40320.560794] SLOW spr round 4 (radius: 5) [08:06:09 -40320.560713] SLOW spr round 5 (radius: 10) [08:07:44 -40312.604477] SLOW spr round 6 (radius: 5) [08:09:38 -40311.692165] SLOW spr round 7 (radius: 5) [08:11:20 -40311.692149] SLOW spr round 8 (radius: 10) [08:12:57 -40311.226014] SLOW spr round 9 (radius: 5) [08:14:51 -40310.506337] SLOW spr round 10 (radius: 5) [08:16:33 -40310.506079] SLOW spr round 11 (radius: 10) [08:18:09 -40310.389468] SLOW spr round 12 (radius: 5) [08:20:02 -40310.389453] SLOW spr round 13 (radius: 10) [08:21:46 -40310.325572] SLOW spr round 14 (radius: 15) [08:24:12 -40308.537327] SLOW spr round 15 (radius: 5) [08:24:55] [worker #1] ML tree search #10, logLikelihood: -40301.959046 [08:26:15 -40305.235555] SLOW spr round 16 (radius: 5) [08:28:00 -40305.235239] SLOW spr round 17 (radius: 10) [08:29:39 -40305.235233] SLOW spr round 18 (radius: 15) [08:32:10 -40303.772516] SLOW spr round 19 (radius: 5) [08:34:05 -40303.372713] SLOW spr round 20 (radius: 5) [08:35:50 -40303.372262] SLOW spr round 21 (radius: 10) [08:37:28 -40303.372255] SLOW spr round 22 (radius: 15) [08:40:02 -40303.063995] SLOW spr round 23 (radius: 5) [08:41:57 -40301.216408] SLOW spr round 24 (radius: 5) [08:43:41 -40301.216408] SLOW spr round 25 (radius: 10) [08:45:19 -40301.216408] SLOW spr round 26 (radius: 15) [08:47:52 -40301.216408] SLOW spr round 27 (radius: 20) [08:50:58 -40301.030961] SLOW spr round 28 (radius: 5) [08:52:58 -40294.509094] SLOW spr round 29 (radius: 5) [08:54:44 -40294.509067] SLOW spr round 30 (radius: 10) [08:56:23 -40294.509067] SLOW spr round 31 (radius: 15) [08:58:54 -40294.330037] SLOW spr round 32 (radius: 5) [09:00:50 -40294.329860] SLOW spr round 33 (radius: 10) [09:02:40 -40294.329860] SLOW spr round 34 (radius: 15) [09:05:10 -40294.329860] SLOW spr round 35 (radius: 20) [09:08:20 -40294.329860] SLOW spr round 36 (radius: 25) [09:11:36 -40294.329860] Model parameter optimization (eps = 0.100000) [09:11:47] [worker #0] ML tree search #9, logLikelihood: -40292.041119 [09:11:47 -126932.510042] Initial branch length optimization [09:11:49 -110541.153853] Model parameter optimization (eps = 10.000000) [09:12:11 -109960.732020] AUTODETECT spr round 1 (radius: 5) [09:13:50 -79831.725353] AUTODETECT spr round 2 (radius: 10) [09:15:41 -62625.081115] AUTODETECT spr round 3 (radius: 15) [09:17:43 -53952.513149] AUTODETECT spr round 4 (radius: 20) [09:20:12 -51403.782318] AUTODETECT spr round 5 (radius: 25) [09:22:58 -49908.229043] SPR radius for FAST iterations: 25 (autodetect) [09:22:58 -49908.229043] Model parameter optimization (eps = 3.000000) [09:23:22 -49675.798700] FAST spr round 1 (radius: 25) [09:25:47 -41121.855193] FAST spr round 2 (radius: 25) [09:27:35 -40481.180301] FAST spr round 3 (radius: 25) [09:29:12 -40354.543864] FAST spr round 4 (radius: 25) [09:30:38 -40340.552239] FAST spr round 5 (radius: 25) [09:32:00 -40338.064237] FAST spr round 6 (radius: 25) [09:33:19 -40338.063666] Model parameter optimization (eps = 1.000000) [09:33:27 -40336.374489] SLOW spr round 1 (radius: 5) [09:35:12 -40315.551114] SLOW spr round 2 (radius: 5) [09:36:53 -40310.688727] SLOW spr round 3 (radius: 5) [09:38:29 -40310.688679] SLOW spr round 4 (radius: 10) [09:40:06 -40306.817367] SLOW spr round 5 (radius: 5) [09:42:04 -40297.855942] SLOW spr round 6 (radius: 5) [09:43:48 -40297.854437] SLOW spr round 7 (radius: 10) [09:45:28 -40296.828721] SLOW spr round 8 (radius: 5) [09:47:21 -40296.828702] SLOW spr round 9 (radius: 10) [09:49:06 -40296.828702] SLOW spr round 10 (radius: 15) [09:51:27 -40295.279845] SLOW spr round 11 (radius: 5) [09:53:24 -40293.411049] SLOW spr round 12 (radius: 5) [09:55:12 -40293.410493] SLOW spr round 13 (radius: 10) [09:56:52 -40293.242647] SLOW spr round 14 (radius: 5) [09:58:46 -40293.242619] SLOW spr round 15 (radius: 10) [10:00:30 -40293.242619] SLOW spr round 16 (radius: 15) [10:02:51 -40293.028995] SLOW spr round 17 (radius: 5) [10:04:48 -40293.028985] SLOW spr round 18 (radius: 10) [10:06:38 -40293.028985] SLOW spr round 19 (radius: 15) [10:08:55 -40293.028985] SLOW spr round 20 (radius: 20) [10:12:01 -40291.255475] SLOW spr round 21 (radius: 5) [10:14:00 -40290.064287] SLOW spr round 22 (radius: 5) [10:15:48 -40289.103844] SLOW spr round 23 (radius: 5) [10:17:28 -40289.103809] SLOW spr round 24 (radius: 10) [10:19:07 -40288.402740] SLOW spr round 25 (radius: 5) [10:21:02 -40288.402729] SLOW spr round 26 (radius: 10) [10:22:48 -40288.402729] SLOW spr round 27 (radius: 15) [10:25:08 -40288.402729] SLOW spr round 28 (radius: 20) [10:26:54] [worker #1] ML tree search #12, logLikelihood: -40355.066521 [10:28:14 -40288.402729] SLOW spr round 29 (radius: 25) [10:31:46 -40288.402729] Model parameter optimization (eps = 0.100000) [10:31:50] [worker #0] ML tree search #11, logLikelihood: -40288.344684 [10:31:50 -127736.598423] Initial branch length optimization [10:31:53 -111113.353827] Model parameter optimization (eps = 10.000000) [10:32:14 -110515.720939] AUTODETECT spr round 1 (radius: 5) [10:33:53 -80419.014728] AUTODETECT spr round 2 (radius: 10) [10:35:41 -64590.728636] AUTODETECT spr round 3 (radius: 15) [10:37:44 -55429.103219] AUTODETECT spr round 4 (radius: 20) [10:40:12 -51894.445771] AUTODETECT spr round 5 (radius: 25) [10:42:46 -49935.374396] SPR radius for FAST iterations: 25 (autodetect) [10:42:46 -49935.374396] Model parameter optimization (eps = 3.000000) [10:43:05 -49706.787146] FAST spr round 1 (radius: 25) [10:45:30 -41814.694310] FAST spr round 2 (radius: 25) [10:47:18 -40516.294292] FAST spr round 3 (radius: 25) [10:48:53 -40369.714190] FAST spr round 4 (radius: 25) [10:50:17 -40359.014062] FAST spr round 5 (radius: 25) [10:51:38 -40351.381433] FAST spr round 6 (radius: 25) [10:52:55 -40351.381419] Model parameter optimization (eps = 1.000000) [10:53:05 -40350.105463] SLOW spr round 1 (radius: 5) [10:54:49 -40330.183623] SLOW spr round 2 (radius: 5) [10:56:30 -40328.101585] SLOW spr round 3 (radius: 5) [10:58:05 -40328.041697] SLOW spr round 4 (radius: 10) [10:59:40 -40326.738740] SLOW spr round 5 (radius: 5) [11:01:33 -40326.738720] SLOW spr round 6 (radius: 10) [11:03:21 -40326.676001] SLOW spr round 7 (radius: 15) [11:05:58 -40320.105570] SLOW spr round 8 (radius: 5) [11:07:58 -40309.139960] SLOW spr round 9 (radius: 5) [11:09:44 -40308.606909] SLOW spr round 10 (radius: 5) [11:11:24 -40308.329934] SLOW spr round 11 (radius: 5) [11:13:00 -40308.329863] SLOW spr round 12 (radius: 10) [11:14:36 -40308.242611] SLOW spr round 13 (radius: 15) [11:17:28 -40304.067663] SLOW spr round 14 (radius: 5) [11:19:25 -40303.852845] SLOW spr round 15 (radius: 5) [11:21:13 -40303.333750] SLOW spr round 16 (radius: 5) [11:22:53 -40303.333027] SLOW spr round 17 (radius: 10) [11:24:28 -40303.333027] SLOW spr round 18 (radius: 15) [11:27:17 -40303.333027] SLOW spr round 19 (radius: 20) [11:30:50 -40303.333027] SLOW spr round 20 (radius: 25) [11:35:00 -40299.633664] SLOW spr round 21 (radius: 5) [11:37:02 -40299.632996] SLOW spr round 22 (radius: 10) [11:37:24] [worker #1] ML tree search #14, logLikelihood: -40280.404363 [11:39:07 -40299.632819] SLOW spr round 23 (radius: 15) [11:41:41 -40299.632749] SLOW spr round 24 (radius: 20) [11:45:27 -40299.632718] SLOW spr round 25 (radius: 25) [11:49:38 -40299.632702] Model parameter optimization (eps = 0.100000) [11:49:46] [worker #0] ML tree search #13, logLikelihood: -40298.968984 [11:49:46 -127611.630183] Initial branch length optimization [11:49:48 -110582.689851] Model parameter optimization (eps = 10.000000) [11:50:08 -109977.222682] AUTODETECT spr round 1 (radius: 5) [11:51:47 -79262.173241] AUTODETECT spr round 2 (radius: 10) [11:53:38 -63607.470338] AUTODETECT spr round 3 (radius: 15) [11:55:38 -56258.156107] AUTODETECT spr round 4 (radius: 20) [11:58:01 -51717.373974] AUTODETECT spr round 5 (radius: 25) [12:01:17 -48478.633854] SPR radius for FAST iterations: 25 (autodetect) [12:01:17 -48478.633854] Model parameter optimization (eps = 3.000000) [12:01:38 -48217.759493] FAST spr round 1 (radius: 25) [12:04:02 -40752.497419] FAST spr round 2 (radius: 25) [12:05:46 -40366.074868] FAST spr round 3 (radius: 25) [12:07:20 -40329.097514] FAST spr round 4 (radius: 25) [12:08:43 -40328.776589] FAST spr round 5 (radius: 25) [12:10:04 -40328.776382] Model parameter optimization (eps = 1.000000) [12:10:16 -40326.688540] SLOW spr round 1 (radius: 5) [12:12:01 -40305.875706] SLOW spr round 2 (radius: 5) [12:13:41 -40303.276652] SLOW spr round 3 (radius: 5) [12:15:17 -40303.039521] SLOW spr round 4 (radius: 5) [12:16:52 -40303.039514] SLOW spr round 5 (radius: 10) [12:18:29 -40300.777799] SLOW spr round 6 (radius: 5) [12:20:26 -40294.557917] SLOW spr round 7 (radius: 5) [12:22:12 -40292.233087] SLOW spr round 8 (radius: 5) [12:23:50 -40292.233078] SLOW spr round 9 (radius: 10) [12:25:27 -40291.366632] SLOW spr round 10 (radius: 5) [12:27:22 -40289.106833] SLOW spr round 11 (radius: 5) [12:29:05 -40289.101877] SLOW spr round 12 (radius: 10) [12:30:44 -40288.513599] SLOW spr round 13 (radius: 5) [12:32:36 -40288.513599] SLOW spr round 14 (radius: 10) [12:34:21 -40288.286624] SLOW spr round 15 (radius: 5) [12:36:14 -40287.281002] SLOW spr round 16 (radius: 5) [12:37:56 -40287.280969] SLOW spr round 17 (radius: 10) [12:39:32 -40287.280969] SLOW spr round 18 (radius: 15) [12:42:02 -40287.155553] SLOW spr round 19 (radius: 5) [12:43:58 -40287.155501] SLOW spr round 20 (radius: 10) [12:45:46 -40287.155501] SLOW spr round 21 (radius: 15) [12:48:05 -40287.027577] SLOW spr round 22 (radius: 5) [12:50:02 -40284.162609] SLOW spr round 23 (radius: 5) [12:51:47 -40284.162498] SLOW spr round 24 (radius: 10) [12:53:15] [worker #1] ML tree search #16, logLikelihood: -42266.067743 [12:53:25 -40284.162495] SLOW spr round 25 (radius: 15) [12:55:54 -40279.637616] SLOW spr round 26 (radius: 5) [12:57:54 -40274.984157] SLOW spr round 27 (radius: 5) [12:59:40 -40274.984034] SLOW spr round 28 (radius: 10) [13:01:18 -40274.984034] SLOW spr round 29 (radius: 15) [13:03:49 -40274.248356] SLOW spr round 30 (radius: 5) [13:05:48 -40273.883165] SLOW spr round 31 (radius: 5) [13:07:34 -40273.882957] SLOW spr round 32 (radius: 10) [13:09:13 -40273.882956] SLOW spr round 33 (radius: 15) [13:11:45 -40271.413129] SLOW spr round 34 (radius: 5) [13:13:44 -40271.412818] SLOW spr round 35 (radius: 10) [13:15:35 -40271.412813] SLOW spr round 36 (radius: 15) [13:18:02 -40271.412813] SLOW spr round 37 (radius: 20) [13:21:19 -40271.133359] SLOW spr round 38 (radius: 5) [13:23:18 -40270.904992] SLOW spr round 39 (radius: 5) [13:25:06 -40270.904977] SLOW spr round 40 (radius: 10) [13:26:46 -40270.904977] SLOW spr round 41 (radius: 15) [13:29:15 -40270.904977] SLOW spr round 42 (radius: 20) [13:32:23 -40270.884484] SLOW spr round 43 (radius: 25) [13:35:48 -40267.092507] SLOW spr round 44 (radius: 5) [13:37:46 -40267.090583] SLOW spr round 45 (radius: 10) [13:39:40 -40267.090580] SLOW spr round 46 (radius: 15) [13:41:59 -40267.090580] SLOW spr round 47 (radius: 20) [13:45:08 -40267.090580] SLOW spr round 48 (radius: 25) [13:48:36 -40267.090580] Model parameter optimization (eps = 0.100000) [13:48:43] [worker #0] ML tree search #15, logLikelihood: -40266.752508 [13:48:43 -127293.369270] Initial branch length optimization [13:48:45 -110581.426727] Model parameter optimization (eps = 10.000000) [13:49:08 -109979.103664] AUTODETECT spr round 1 (radius: 5) [13:50:47 -80602.539989] AUTODETECT spr round 2 (radius: 10) [13:52:33 -62677.145261] AUTODETECT spr round 3 (radius: 15) [13:54:31 -54611.924036] AUTODETECT spr round 4 (radius: 20) [13:57:02 -49441.709527] AUTODETECT spr round 5 (radius: 25) [13:59:39 -48422.501457] SPR radius for FAST iterations: 25 (autodetect) [13:59:39 -48422.501457] Model parameter optimization (eps = 3.000000) [13:59:58 -48170.149296] FAST spr round 1 (radius: 25) [14:02:22 -41063.316190] FAST spr round 2 (radius: 25) [14:04:07 -40503.585013] FAST spr round 3 (radius: 25) [14:05:41 -40399.126944] FAST spr round 4 (radius: 25) [14:07:08 -40339.890350] FAST spr round 5 (radius: 25) [14:08:29 -40334.819112] FAST spr round 6 (radius: 25) [14:09:47 -40334.819008] Model parameter optimization (eps = 1.000000) [14:09:58 -40325.501462] SLOW spr round 1 (radius: 5) [14:11:43 -40309.766146] SLOW spr round 2 (radius: 5) [14:13:24 -40302.862894] SLOW spr round 3 (radius: 5) [14:15:01 -40302.721202] SLOW spr round 4 (radius: 5) [14:16:36 -40302.721110] SLOW spr round 5 (radius: 10) [14:18:12 -40301.802256] SLOW spr round 6 (radius: 5) [14:20:08 -40301.417283] SLOW spr round 7 (radius: 5) [14:21:52 -40301.416352] SLOW spr round 8 (radius: 10) [14:23:32 -40298.910311] SLOW spr round 9 (radius: 5) [14:25:27 -40297.987361] SLOW spr round 10 (radius: 5) [14:27:10 -40297.986588] SLOW spr round 11 (radius: 10) [14:28:49 -40297.367900] SLOW spr round 12 (radius: 5) [14:30:43 -40297.367877] SLOW spr round 13 (radius: 10) [14:31:40] [worker #1] ML tree search #18, logLikelihood: -40924.840027 [14:32:29 -40296.755188] SLOW spr round 14 (radius: 5) [14:34:21 -40296.755183] SLOW spr round 15 (radius: 10) [14:36:04 -40296.174518] SLOW spr round 16 (radius: 5) [14:37:55 -40296.174407] SLOW spr round 17 (radius: 10) [14:39:38 -40295.980847] SLOW spr round 18 (radius: 5) [14:41:30 -40293.489329] SLOW spr round 19 (radius: 5) [14:43:13 -40293.489307] SLOW spr round 20 (radius: 10) [14:44:51 -40293.387567] SLOW spr round 21 (radius: 5) [14:46:44 -40293.387494] SLOW spr round 22 (radius: 10) [14:48:29 -40293.339083] SLOW spr round 23 (radius: 15) [14:51:01 -40290.301799] SLOW spr round 24 (radius: 5) [14:52:59 -40288.864090] SLOW spr round 25 (radius: 5) [14:54:44 -40288.246186] SLOW spr round 26 (radius: 5) [14:56:23 -40288.246163] SLOW spr round 27 (radius: 10) [14:58:00 -40286.166543] SLOW spr round 28 (radius: 5) [14:59:52 -40286.166380] SLOW spr round 29 (radius: 10) [15:01:38 -40286.166379] SLOW spr round 30 (radius: 15) [15:04:06 -40286.166379] SLOW spr round 31 (radius: 20) [15:07:43 -40283.254883] SLOW spr round 32 (radius: 5) [15:09:41 -40283.254614] SLOW spr round 33 (radius: 10) [15:11:34 -40282.482247] SLOW spr round 34 (radius: 5) [15:13:25 -40282.468361] SLOW spr round 35 (radius: 10) [15:15:07 -40282.432260] SLOW spr round 36 (radius: 15) [15:17:37 -40281.081785] SLOW spr round 37 (radius: 5) [15:19:36 -40279.114933] SLOW spr round 38 (radius: 5) [15:21:24 -40274.108115] SLOW spr round 39 (radius: 5) [15:23:06 -40271.394315] SLOW spr round 40 (radius: 5) [15:24:43 -40270.251466] SLOW spr round 41 (radius: 5) [15:26:18 -40270.251427] SLOW spr round 42 (radius: 10) [15:27:53 -40270.251427] SLOW spr round 43 (radius: 15) [15:30:39 -40270.023398] SLOW spr round 44 (radius: 5) [15:32:33 -40270.023383] SLOW spr round 45 (radius: 10) [15:34:22 -40270.023383] SLOW spr round 46 (radius: 15) [15:36:49 -40270.023383] SLOW spr round 47 (radius: 20) [15:40:34 -40270.023383] SLOW spr round 48 (radius: 25) [15:44:27 -40270.023383] Model parameter optimization (eps = 0.100000) [15:44:35] [worker #0] ML tree search #17, logLikelihood: -40269.717603 [15:44:35 -127540.629170] Initial branch length optimization [15:44:37 -111371.484380] Model parameter optimization (eps = 10.000000) [15:45:00 -110779.179630] AUTODETECT spr round 1 (radius: 5) [15:46:38 -80333.764807] AUTODETECT spr round 2 (radius: 10) [15:48:26 -62880.624161] AUTODETECT spr round 3 (radius: 15) [15:50:30 -54207.222796] AUTODETECT spr round 4 (radius: 20) [15:52:57 -49392.114739] AUTODETECT spr round 5 (radius: 25) [15:55:25 -47325.895273] SPR radius for FAST iterations: 25 (autodetect) [15:55:25 -47325.895273] Model parameter optimization (eps = 3.000000) [15:55:45 -47078.873569] FAST spr round 1 (radius: 25) [15:58:01 -41388.502933] FAST spr round 2 (radius: 25) [15:59:43 -40881.047287] FAST spr round 3 (radius: 25) [16:01:17 -40772.364643] FAST spr round 4 (radius: 25) [16:02:43 -40749.326445] FAST spr round 5 (radius: 25) [16:04:10 -40434.066712] FAST spr round 6 (radius: 25) [16:05:34 -40353.215200] FAST spr round 7 (radius: 25) [16:06:51 -40345.914883] FAST spr round 8 (radius: 25) [16:08:07 -40345.914734] Model parameter optimization (eps = 1.000000) [16:08:15 -40344.064802] SLOW spr round 1 (radius: 5) [16:09:57 -40332.574049] SLOW spr round 2 (radius: 5) [16:11:36 -40330.532228] SLOW spr round 3 (radius: 5) [16:13:10 -40330.531184] SLOW spr round 4 (radius: 10) [16:14:47 -40324.392079] SLOW spr round 5 (radius: 5) [16:16:43 -40320.038701] SLOW spr round 6 (radius: 5) [16:18:27 -40320.037095] SLOW spr round 7 (radius: 10) [16:20:05 -40319.215107] SLOW spr round 8 (radius: 5) [16:21:57 -40319.215106] SLOW spr round 9 (radius: 10) [16:23:41 -40318.387993] SLOW spr round 10 (radius: 5) [16:25:32 -40318.387992] SLOW spr round 11 (radius: 10) [16:27:15 -40317.882887] SLOW spr round 12 (radius: 5) [16:29:06 -40317.882839] SLOW spr round 13 (radius: 10) [16:30:49 -40314.755466] SLOW spr round 14 (radius: 5) [16:32:42 -40312.172863] SLOW spr round 15 (radius: 5) [16:34:25 -40312.170239] SLOW spr round 16 (radius: 10) [16:36:02 -40312.168993] SLOW spr round 17 (radius: 15) [16:38:46 -40310.705944] SLOW spr round 18 (radius: 5) [16:40:49 -40310.704886] SLOW spr round 19 (radius: 10) [16:42:40 -40310.704705] SLOW spr round 20 (radius: 15) [16:44:43] [worker #1] ML tree search #20, logLikelihood: -40340.216854 [16:45:07 -40310.704625] SLOW spr round 21 (radius: 20) [16:48:47 -40306.963429] SLOW spr round 22 (radius: 5) [16:50:46 -40306.590665] SLOW spr round 23 (radius: 5) [16:52:32 -40306.589340] SLOW spr round 24 (radius: 10) [16:54:10 -40306.589316] SLOW spr round 25 (radius: 15) [16:56:44 -40306.589316] SLOW spr round 26 (radius: 20) [17:00:17 -40306.589316] SLOW spr round 27 (radius: 25) [17:04:19 -40306.589316] Model parameter optimization (eps = 0.100000) [17:04:24] [worker #0] ML tree search #19, logLikelihood: -40306.577400 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.251571,0.595949) (0.150340,0.731263) (0.503369,0.793901) (0.094720,3.594933) Base frequencies (model): M0: 0.147383 0.017579 0.058208 0.017707 0.026331 0.041582 0.017494 0.027859 0.011849 0.076971 0.147823 0.019535 0.037132 0.029940 0.008059 0.088179 0.089653 0.006477 0.032308 0.097931 M1: 0.063139 0.066357 0.011586 0.066571 0.010800 0.009276 0.053984 0.146986 0.034214 0.088822 0.098196 0.032390 0.021263 0.072697 0.016761 0.020711 0.020797 0.025463 0.045615 0.094372 M2: 0.062457 0.066826 0.049332 0.065270 0.006513 0.041231 0.058965 0.080852 0.028024 0.037024 0.075925 0.064131 0.019620 0.028710 0.104579 0.056388 0.062027 0.008241 0.033124 0.050760 M3: 0.106471 0.074171 0.044513 0.096390 0.002148 0.066733 0.158908 0.037625 0.020691 0.014608 0.028797 0.105352 0.007864 0.007477 0.083595 0.055726 0.047711 0.003975 0.010088 0.027159 Substitution rates (model): M 0: 0.295719 0.067388 0.253712 1.029289 0.107964 0.514644 10.868848 0.380498 0.084223 0.086976 0.188789 0.286389 0.155567 1.671061 2.132922 0.529591 0.115551 0.102453 0.916683 0.448317 0.457483 0.576016 1.741924 0.736017 0.704334 5.658311 0.123387 0.221777 93.433377 0.382175 0.235965 6.535048 0.525521 0.303537 0.641259 0.289466 0.102065 2.358429 0.251987 0.216561 0.503084 0.435271 4.873453 0.090748 0.033310 0.746537 0.128905 0.127321 0.904011 0.939733 0.435450 0.046646 0.262076 0.043986 0.189008 0.599450 109.901504 1.070052 5.229858 0.052764 0.021407 0.621146 0.081091 0.205164 5.164456 0.747330 0.308078 0.260889 0.185083 0.080708 0.029955 0.084794 1.862626 0.553477 0.151733 0.230320 0.096955 0.352526 0.590018 0.386853 1.559564 0.606648 0.587531 0.592318 0.885230 4.117654 0.246260 6.508329 0.054187 0.195703 1.669092 0.810168 0.066081 2.437439 0.165666 0.106333 0.093417 0.035149 0.072549 1.202023 1.634845 0.060194 0.069359 2.448827 0.232297 0.064822 3.537387 0.435384 0.290413 0.280695 0.105999 0.206603 0.404968 0.048984 0.069963 0.256662 0.228519 0.241077 4.320442 3.656545 0.290216 0.307466 0.096556 0.306067 0.204296 0.504221 1.991533 0.655465 6.799829 11.291065 0.961142 0.448965 6.227274 20.304886 0.205944 1.495537 0.091940 1.994320 0.754940 0.170343 0.050315 0.372166 0.206332 0.097050 5.381403 0.122332 3.256485 2.261319 0.848067 0.064441 0.102493 0.459041 0.133091 0.561215 0.457430 0.163849 5.260446 0.360946 0.389413 0.033291 0.115301 0.112593 1.559944 0.426508 0.132547 0.498634 0.559069 0.264728 0.693307 0.438856 0.306683 0.109129 18.392863 66.647302 0.400021 4.586081 2.099355 0.411347 0.476350 0.584622 3.634276 0.101797 0.148995 0.089177 0.034710 0.063603 0.755865 20.561407 0.133790 0.154902 M 1: 0.066142 0.590377 0.069930 9.850951 1.101363 0.150375 0.568586 0.051668 0.127170 0.292429 0.071458 1.218562 0.075144 7.169085 30.139501 13.461692 0.021372 0.045779 4.270235 0.468325 0.013688 0.302287 1.353957 0.028386 0.037750 0.262130 0.016923 0.064289 0.855973 0.079621 0.011169 0.161937 0.276530 0.161053 0.081472 0.036742 0.030342 2.851667 3.932151 8.159169 0.219934 0.421974 2.468752 0.344765 0.210724 1.172204 0.763553 0.082464 0.726566 11.149790 4.782635 0.058046 0.498072 0.258487 0.146882 0.249672 0.560142 0.046719 0.106259 0.003656 0.004200 0.014189 0.009876 0.002656 0.040244 0.267322 0.053740 0.006597 0.027639 0.012745 0.582670 0.005035 0.275844 0.098208 0.445038 1.217010 0.033969 1.988516 0.681161 0.825960 18.762977 11.949233 0.286794 0.534219 4.336817 3.054085 0.129551 4.210126 0.165753 1.088704 1.889645 3.344809 0.111063 2.067758 3.547017 2.466507 0.188236 0.203493 0.281953 0.037250 0.029788 0.008541 0.014768 0.125869 0.056702 0.004186 0.110993 0.201148 0.139705 0.009201 0.012095 0.043812 0.013513 0.002533 0.005848 0.031390 0.021612 0.004854 0.129497 0.976631 0.053397 0.019475 0.004964 0.015539 0.031779 0.064558 0.065585 0.079927 0.095591 0.196886 0.408834 0.126088 0.037226 0.452302 0.016212 7.278994 0.029917 7.918203 0.450964 0.169797 0.104288 1.578530 0.015909 0.094365 16.179952 0.042762 14.799537 1.506485 0.637893 0.123793 0.641351 0.154810 0.140750 3.416059 0.259400 0.009457 0.090576 0.292108 0.297913 0.017172 0.021976 0.032578 1.375871 0.457399 0.598048 4.418398 0.239749 0.168432 2.950318 0.143327 0.328689 0.125011 0.562720 1.414883 0.227807 3.478333 2.984862 0.061299 0.077470 1.050562 13.974326 0.154326 0.224675 0.112000 0.060703 0.123480 5.294490 0.447011 0.033381 0.045528 M 2: 0.733336 0.558955 0.503360 4.149599 1.415369 1.367574 1.263002 0.994098 0.517204 0.775054 0.763094 1.890137 0.540460 0.200122 4.972745 1.825593 0.450842 0.526135 3.839269 0.597671 0.058964 2.863355 2.872594 0.258365 0.366868 2.578946 0.358350 0.672023 5.349861 0.691594 0.063347 0.032875 0.821562 0.580847 0.661866 0.265730 0.395134 5.581680 1.279881 1.335650 0.397108 1.840061 5.739035 0.284730 0.109781 1.612642 0.466979 0.141582 0.019509 4.670980 1.967383 0.088064 0.581928 0.145401 0.225860 0.434096 2.292917 1.024707 0.821921 0.027824 0.021443 0.088850 0.060820 0.018288 0.042687 1.199607 0.420710 0.037642 0.141233 0.090101 1.043232 0.209978 0.823594 3.039380 1.463390 1.983693 0.397640 2.831098 4.102068 0.059723 5.901348 2.034980 2.600668 5.413080 4.193725 4.534772 0.377181 4.877840 0.370939 1.298542 3.509873 2.646440 0.087872 0.072299 1.139018 0.864479 0.390688 0.322761 0.625409 0.496780 0.532488 0.232460 0.169219 0.755219 0.379926 0.020447 0.023282 0.503875 0.577513 0.109318 0.153776 0.696533 0.398817 0.008940 0.043707 0.436013 0.087640 0.064863 0.036426 1.673207 0.124068 0.218118 0.039217 0.104335 0.349195 0.838324 0.888693 0.488389 1.385133 0.050226 0.962470 0.502294 1.065585 8.351808 0.377304 5.102837 0.561690 7.010411 3.054968 0.039318 0.204155 2.653232 0.564368 0.854294 15.559906 0.401070 8.929538 5.525874 0.067505 0.273372 0.437116 1.927515 0.940458 2.508169 1.357738 0.043394 0.023126 0.567639 1.048288 0.120994 0.180650 0.449074 3.135353 0.012695 0.570771 2.319555 1.856122 0.975427 3.404087 0.015631 0.458799 0.151684 4.154750 11.429924 1.457957 0.233109 0.077004 0.011074 0.026268 0.052132 8.113282 0.377578 0.429221 0.260296 0.222293 0.273138 2.903836 4.731579 0.564762 0.681215 M 3: 0.658412 0.566269 0.854111 0.884454 1.309554 1.272639 1.874713 0.552007 0.227683 0.581512 0.695190 0.967985 0.344015 0.978992 3.427163 2.333253 0.154701 0.221089 2.088785 0.540749 0.058015 5.851132 2.294145 0.182966 0.684164 3.192521 0.528161 1.128882 3.010922 1.012866 0.227296 0.156635 0.878405 0.802754 0.830884 0.431617 0.456530 3.060574 1.279257 1.438430 0.431464 2.075952 4.840271 0.644656 0.266076 2.084975 0.720060 0.291854 0.028961 4.071574 2.258357 0.073037 1.238426 0.199728 0.160296 0.482619 2.992763 1.296206 0.841829 0.031467 0.048542 0.132774 0.133055 0.056045 0.209188 0.925172 0.360522 0.094591 0.313945 0.118104 0.992259 0.086318 2.149634 5.103188 3.775817 3.954021 0.190734 1.776095 4.495841 0.264277 7.063879 2.221150 3.017954 8.558815 4.310199 2.130054 0.571406 4.137385 0.437589 2.071689 2.498630 1.763546 0.116381 0.296578 1.033710 1.283423 0.312579 0.305772 0.681277 0.507160 0.351381 0.189152 0.217780 0.767361 0.278392 0.092075 0.177263 0.451893 0.653836 0.074620 0.181992 0.752277 0.679853 0.025780 0.082005 0.326441 0.343977 0.195877 0.217424 3.057583 0.377558 0.401252 0.072258 0.241015 0.665865 1.266791 0.680174 0.717301 4.001286 0.362942 1.189259 0.964545 1.350568 12.869737 0.531100 8.904999 0.652629 10.091413 2.671718 0.086367 0.359932 4.797423 0.336801 1.021885 23.029406 0.440178 14.013035 5.069337 0.539010 0.742569 0.780580 1.331875 1.531589 4.414850 1.082703 0.091278 0.172734 0.693405 1.422571 0.068958 0.163829 0.481711 4.643214 0.121821 0.584083 4.216178 1.677263 1.575754 5.046403 0.161015 1.531223 0.599244 5.832025 33.873091 1.914768 1.287474 0.444362 0.076328 0.079916 0.466823 5.231362 0.548763 0.831890 0.382271 0.208791 0.307846 3.717971 5.910440 0.282540 0.964421 Final LogLikelihood: -40234.213009 AIC score: 84474.426017 / AICc score: 8112498.426017 / BIC score: 89589.841431 Free parameters (model + branch lengths): 2003 WARNING: Number of free parameters (K=2003) is larger than alignment size (n=95). This might lead to overfitting and compromise tree inference results! WARNING: Best ML tree contains 125 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.bestTreeCollapsed Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6R2/3_mltree/A0A075B6R2.raxml.log Analysis started: 04-Jul-2021 05:19:54 / finished: 04-Jul-2021 22:24:19 Elapsed time: 61465.025 seconds Consumed energy: 5293.642 Wh (= 26 km in an electric car, or 132 km with an e-scooter!)