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 01-Jul-2021 15:54:41 as follows: raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/2_msa/O15020_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/2_msa/O15020_trimmed_msa.fasta [00:00:00] Loaded alignment with 1001 taxa and 825 sites WARNING: Sequences sp_P20111_ACTN2_CHICK_9031 and tr_G1NGT5_G1NGT5_MELGA_9103 are exactly identical! WARNING: Sequences sp_Q9JI91_ACTN2_MOUSE_10090 and tr_D3ZCV0_D3ZCV0_RAT_10116 are exactly identical! WARNING: Sequences tr_M3Y7F4_M3Y7F4_MUSPF_9669 and tr_A0A2Y9JK69_A0A2Y9JK69_ENHLU_391180 are exactly identical! WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_E2QUQ0_E2QUQ0_CANLF_9615 are exactly identical! WARNING: Sequences tr_M3YMU0_M3YMU0_MUSPF_9669 and tr_G1L2Z4_G1L2Z4_AILME_9646 are exactly identical! WARNING: Sequences tr_A0A2I3GFP9_A0A2I3GFP9_NOMLE_61853 and tr_G3QSY2_G3QSY2_GORGO_9595 are exactly identical! WARNING: Sequences tr_A0A2I3GFP9_A0A2I3GFP9_NOMLE_61853 and tr_A0A2K6CB71_A0A2K6CB71_MACNE_9545 are exactly identical! WARNING: Sequences tr_G3R7J8_G3R7J8_GORGO_9595 and tr_A0A2I3S2C5_A0A2I3S2C5_PANTR_9598 are exactly identical! WARNING: Sequences tr_G3R7J8_G3R7J8_GORGO_9595 and sp_Q01082_SPTB2_HUMAN_9606 are exactly identical! WARNING: Sequences tr_G3R7J8_G3R7J8_GORGO_9595 and tr_A0A2R8ZIT5_A0A2R8ZIT5_PANPA_9597 are exactly identical! WARNING: Sequences tr_H2NCQ0_H2NCQ0_PONAB_9601 and tr_A0A2J8QB90_A0A2J8QB90_PANTR_9598 are exactly identical! WARNING: Sequences tr_H2NCQ0_H2NCQ0_PONAB_9601 and tr_A0A2R9A0X1_A0A2R9A0X1_PANPA_9597 are exactly identical! WARNING: Sequences tr_E2QY08_E2QY08_CANLF_9615 and tr_A0A2U3ZCZ8_A0A2U3ZCZ8_ODORO_9708 are exactly identical! WARNING: Sequences tr_E2QY08_E2QY08_CANLF_9615 and tr_A0A384AAW7_A0A384AAW7_BALAS_310752 are exactly identical! WARNING: Sequences tr_F1PXU1_F1PXU1_CANLF_9615 and tr_A0A2I2UGD2_A0A2I2UGD2_FELCA_9685 are exactly identical! WARNING: Sequences tr_F1PXU1_F1PXU1_CANLF_9615 and tr_A0A2Y9JJV6_A0A2Y9JJV6_ENHLU_391180 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and sp_O43707_ACTN4_HUMAN_9606 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_F7HU82_F7HU82_MACMU_9544 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A0A0MU58_A0A0A0MU58_PAPAN_9555 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A0D9QVJ0_A0A0D9QVJ0_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A2K5LF87_A0A2K5LF87_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A2I3STF2_A0A2I3STF2_PANTR_9598 and tr_A0A2R9C199_A0A2R9C199_PANPA_9597 are exactly identical! WARNING: Sequences tr_W5NZX9_W5NZX9_SHEEP_9940 and tr_F1MYC9_F1MYC9_BOVIN_9913 are exactly identical! WARNING: Sequences tr_A0A158NGS2_A0A158NGS2_ATTCE_12957 and tr_A0A195BVX4_A0A195BVX4_9HYME_520822 are exactly identical! WARNING: Sequences sp_P12814_ACTN1_HUMAN_9606 and tr_A0A2R9BFF0_A0A2R9BFF0_PANPA_9597 are exactly identical! WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A0D9RKZ5_A0A0D9RKZ5_CHLSB_60711 are exactly identical! WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K5N6P5_A0A2K5N6P5_CERAT_9531 are exactly identical! WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K6CYT7_A0A2K6CYT7_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A1D5QZP3_A0A1D5QZP3_MACMU_9544 and tr_A0A2K5ZZ84_A0A2K5ZZ84_MANLE_9568 are exactly identical! WARNING: Sequences tr_F6VRJ5_F6VRJ5_MACMU_9544 and tr_A0A2K5N9D6_A0A2K5N9D6_CERAT_9531 are exactly identical! WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A2K5MSA6_A0A2K5MSA6_CERAT_9531 are exactly identical! WARNING: Sequences tr_F6W8M4_F6W8M4_MACMU_9544 and tr_A0A2K5ZBW9_A0A2K5ZBW9_MANLE_9568 are exactly identical! WARNING: Sequences tr_F7FS44_F7FS44_MACMU_9544 and tr_A0A2I3M122_A0A2I3M122_PAPAN_9555 are exactly identical! WARNING: Sequences tr_F7FS44_F7FS44_MACMU_9544 and tr_A0A0D9RN38_A0A0D9RN38_CHLSB_60711 are exactly identical! WARNING: Sequences tr_F7FS44_F7FS44_MACMU_9544 and tr_A0A2K5P4S5_A0A2K5P4S5_CERAT_9531 are exactly identical! WARNING: Sequences tr_F7FS44_F7FS44_MACMU_9544 and tr_A0A2K6CPD6_A0A2K6CPD6_MACNE_9545 are exactly identical! WARNING: Sequences tr_F7FS44_F7FS44_MACMU_9544 and tr_A0A2K5XT52_A0A2K5XT52_MANLE_9568 are exactly identical! WARNING: Sequences tr_H0ZA36_H0ZA36_TAEGU_59729 and tr_U3K9Y0_U3K9Y0_FICAL_59894 are exactly identical! WARNING: Sequences tr_H0ZA36_H0ZA36_TAEGU_59729 and tr_A0A218UIK1_A0A218UIK1_9PASE_299123 are exactly identical! WARNING: Sequences tr_G1LCQ9_G1LCQ9_AILME_9646 and tr_A0A384CW06_A0A384CW06_URSMA_29073 are exactly identical! WARNING: Sequences sp_A5D7D1_ACTN4_BOVIN_9913 and tr_A0A1S3AGC3_A0A1S3AGC3_ERIEU_9365 are exactly identical! WARNING: Sequences tr_A0A0D9RBH8_A0A0D9RBH8_CHLSB_60711 and tr_A0A2K6E8I1_A0A2K6E8I1_MACNE_9545 are exactly identical! WARNING: Sequences tr_A0A151MB02_A0A151MB02_ALLMI_8496 and tr_A0A1U7S444_A0A1U7S444_ALLSI_38654 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A091ITT8_A0A091ITT8_EGRGA_188379 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A093PDP3_A0A093PDP3_9PASS_328815 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A091VVI2_A0A091VVI2_NIPNI_128390 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A091VWV9_A0A091VWV9_OPIHO_30419 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A091G7Q0_A0A091G7Q0_9AVES_55661 are exactly identical! WARNING: Sequences tr_A0A091F494_A0A091F494_CORBR_85066 and tr_A0A0A0ADT3_A0A0A0ADT3_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A091UMG4_A0A091UMG4_NIPNI_128390 are exactly identical! WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A087R6Z3_A0A087R6Z3_APTFO_9233 are exactly identical! WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A091G6Y8_A0A091G6Y8_9AVES_55661 are exactly identical! WARNING: Sequences tr_A0A091JKQ5_A0A091JKQ5_EGRGA_188379 and tr_A0A0A0AHU9_A0A0A0AHU9_CHAVO_50402 are exactly identical! WARNING: Sequences tr_A0A093H9I6_A0A093H9I6_STRCA_441894 and tr_A0A099ZFB3_A0A099ZFB3_TINGU_94827 are exactly identical! WARNING: Sequences tr_A0A093H9I6_A0A093H9I6_STRCA_441894 and tr_A0A093IP95_A0A093IP95_DRYPU_118200 are exactly identical! WARNING: Sequences tr_A0A2I0MTN9_A0A2I0MTN9_COLLI_8932 and tr_A0A1V4JKI3_A0A1V4JKI3_PATFA_372326 are exactly identical! WARNING: Sequences tr_A0A0V1CSD6_A0A0V1CSD6_TRIBR_45882 and tr_A0A0V1PLY9_A0A0V1PLY9_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1CSD6_A0A0V1CSD6_TRIBR_45882 and tr_A0A0V0U1E5_A0A0V0U1E5_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V1PGG1_A0A0V1PGG1_9BILA_92180 are exactly identical! WARNING: Sequences tr_A0A0V1CWE6_A0A0V1CWE6_TRIBR_45882 and tr_A0A0V0TZT7_A0A0V0TZT7_9BILA_144512 are exactly identical! WARNING: Sequences tr_A0A0V1D9G3_A0A0V1D9G3_TRIBR_45882 and tr_A0A0V1L6U6_A0A0V1L6U6_9BILA_6335 are exactly identical! WARNING: Sequences tr_A0A0V1D9G3_A0A0V1D9G3_TRIBR_45882 and tr_A0A0V1A0K1_A0A0V1A0K1_9BILA_990121 are exactly identical! WARNING: Sequences tr_A0A0V1MMA7_A0A0V1MMA7_9BILA_268474 and tr_A0A0V1HR16_A0A0V1HR16_9BILA_268475 are exactly identical! WARNING: Sequences tr_A0A1S3FBR7_A0A1S3FBR7_DIPOR_10020 and tr_A0A1U7QBK2_A0A1U7QBK2_MESAU_10036 are exactly identical! WARNING: Sequences tr_A0A1I7UBX0_A0A1I7UBX0_9PELO_1561998 and tr_A0A1I7UBX1_A0A1I7UBX1_9PELO_1561998 are exactly identical! WARNING: Sequences tr_A0A1V4KFA3_A0A1V4KFA3_PATFA_372326 and tr_A0A218UIK4_A0A218UIK4_9PASE_299123 are exactly identical! WARNING: Sequences tr_A0A226MIJ8_A0A226MIJ8_CALSU_9009 and tr_A0A226P2N7_A0A226P2N7_COLVI_9014 are exactly identical! WARNING: Sequences tr_A0A2D0RQD2_A0A2D0RQD2_ICTPU_7998 and tr_A0A2D0RR08_A0A2D0RR08_ICTPU_7998 are exactly identical! WARNING: Sequences tr_A0A2Y9QC80_A0A2Y9QC80_DELLE_9749 and tr_A0A2Y9SF26_A0A2Y9SF26_PHYCD_9755 are exactly identical! WARNING: Duplicate sequences found: 69 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/O15020/3_mltree/O15020.raxml.reduced.phy Alignment comprises 1 partitions and 825 patterns Partition 0: noname Model: LG4X+R4 Alignment sites / patterns: 825 / 825 Gaps: 8.82 % Invariant sites: 0.00 % NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020.raxml.rba Parallelization scheme autoconfig: 2 worker(s) x 4 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 20 random starting tree(s) with 1001 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 207 / 16560 [00:00:00] Data distribution: max. searches per worker: 10 Starting ML tree search with 20 distinct starting trees [00:00:00 -1178217.477006] Initial branch length optimization [00:00:05 -946901.755503] Model parameter optimization (eps = 10.000000) [00:00:53 -944809.710138] AUTODETECT spr round 1 (radius: 5) [00:04:00 -577999.365499] AUTODETECT spr round 2 (radius: 10) [00:07:12 -417225.765843] AUTODETECT spr round 3 (radius: 15) [00:10:45 -314212.149790] AUTODETECT spr round 4 (radius: 20) [00:14:28 -264361.063172] AUTODETECT spr round 5 (radius: 25) [00:19:03 -248435.963000] SPR radius for FAST iterations: 25 (autodetect) [00:19:03 -248435.963000] Model parameter optimization (eps = 3.000000) [00:19:26 -248204.106035] FAST spr round 1 (radius: 25) [00:22:42 -206865.928451] FAST spr round 2 (radius: 25) [00:25:11 -204642.932389] FAST spr round 3 (radius: 25) [00:27:28 -204504.513955] FAST spr round 4 (radius: 25) [00:29:34 -204502.113967] FAST spr round 5 (radius: 25) [00:31:32 -204502.113700] Model parameter optimization (eps = 1.000000) [00:31:50 -204477.825941] SLOW spr round 1 (radius: 5) [00:34:29 -204405.656301] SLOW spr round 2 (radius: 5) [00:37:06 -204384.356684] SLOW spr round 3 (radius: 5) [00:39:41 -204382.968846] SLOW spr round 4 (radius: 5) [00:42:10 -204382.968224] SLOW spr round 5 (radius: 10) [00:44:45 -204382.967853] SLOW spr round 6 (radius: 15) [00:48:53 -204382.967166] SLOW spr round 7 (radius: 20) [00:54:43 -204382.966797] SLOW spr round 8 (radius: 25) [01:02:07 -204382.966428] Model parameter optimization (eps = 0.100000) [01:02:17] [worker #0] ML tree search #1, logLikelihood: -204382.792829 [01:02:17 -1171152.735902] Initial branch length optimization [01:02:23 -938096.746375] Model parameter optimization (eps = 10.000000) [01:03:21 -936019.164485] AUTODETECT spr round 1 (radius: 5) [01:06:26 -576647.984764] AUTODETECT spr round 2 (radius: 10) [01:09:36 -418762.316273] AUTODETECT spr round 3 (radius: 15) [01:11:29] [worker #1] ML tree search #2, logLikelihood: -204388.951897 [01:13:07 -337712.171966] AUTODETECT spr round 4 (radius: 20) [01:16:56 -296341.950335] AUTODETECT spr round 5 (radius: 25) [01:21:08 -260737.268884] SPR radius for FAST iterations: 25 (autodetect) [01:21:08 -260737.268884] Model parameter optimization (eps = 3.000000) [01:21:37 -260532.673004] FAST spr round 1 (radius: 25) [01:25:21 -208984.219598] FAST spr round 2 (radius: 25) [01:28:05 -204599.068698] FAST spr round 3 (radius: 25) [01:30:21 -204458.184751] FAST spr round 4 (radius: 25) [01:32:28 -204452.219117] FAST spr round 5 (radius: 25) [01:34:34 -204444.925787] FAST spr round 6 (radius: 25) [01:36:33 -204444.924298] Model parameter optimization (eps = 1.000000) [01:36:52 -204434.271923] SLOW spr round 1 (radius: 5) [01:39:32 -204401.764051] SLOW spr round 2 (radius: 5) [01:42:10 -204399.438935] SLOW spr round 3 (radius: 5) [01:44:48 -204397.937279] SLOW spr round 4 (radius: 5) [01:47:20 -204397.936864] SLOW spr round 5 (radius: 10) [01:49:57 -204397.321523] SLOW spr round 6 (radius: 5) [01:53:08 -204397.321091] SLOW spr round 7 (radius: 10) [01:56:03 -204397.320728] SLOW spr round 8 (radius: 15) [01:59:53 -204397.320364] SLOW spr round 9 (radius: 20) [02:05:47 -204397.320000] SLOW spr round 10 (radius: 25) [02:12:55 -204397.319635] Model parameter optimization (eps = 0.100000) [02:13:08] [worker #0] ML tree search #3, logLikelihood: -204397.218768 [02:13:08 -1173205.024450] Initial branch length optimization [02:13:14 -935530.148281] Model parameter optimization (eps = 10.000000) [02:13:55 -933508.420142] AUTODETECT spr round 1 (radius: 5) [02:17:01 -584869.841560] AUTODETECT spr round 2 (radius: 10) [02:20:12 -407513.279354] AUTODETECT spr round 3 (radius: 15) [02:23:29 -318232.509821] AUTODETECT spr round 4 (radius: 20) [02:25:50] [worker #1] ML tree search #4, logLikelihood: -204393.389381 [02:27:40 -257983.995762] AUTODETECT spr round 5 (radius: 25) [02:32:01 -248291.392116] SPR radius for FAST iterations: 25 (autodetect) [02:32:01 -248291.392116] Model parameter optimization (eps = 3.000000) [02:32:24 -248048.627996] FAST spr round 1 (radius: 25) [02:35:55 -206587.430909] FAST spr round 2 (radius: 25) [02:38:35 -204593.873271] FAST spr round 3 (radius: 25) [02:40:50 -204450.934486] FAST spr round 4 (radius: 25) [02:42:52 -204441.747734] FAST spr round 5 (radius: 25) [02:44:49 -204441.746946] Model parameter optimization (eps = 1.000000) [02:45:15 -204426.203828] SLOW spr round 1 (radius: 5) [02:47:57 -204388.256937] SLOW spr round 2 (radius: 5) [02:50:35 -204383.635266] SLOW spr round 3 (radius: 5) [02:53:11 -204378.694791] SLOW spr round 4 (radius: 5) [02:55:42 -204377.004502] SLOW spr round 5 (radius: 5) [02:58:12 -204377.004404] SLOW spr round 6 (radius: 10) [03:00:51 -204376.809940] SLOW spr round 7 (radius: 5) [03:04:08 -204376.809643] SLOW spr round 8 (radius: 10) [03:07:10 -204375.860817] SLOW spr round 9 (radius: 5) [03:10:19 -204375.860535] SLOW spr round 10 (radius: 10) [03:13:18 -204375.860468] SLOW spr round 11 (radius: 15) [03:17:23 -204375.860082] SLOW spr round 12 (radius: 20) [03:23:40 -204375.860015] SLOW spr round 13 (radius: 25) [03:31:35 -204375.859948] Model parameter optimization (eps = 0.100000) [03:31:42] [worker #0] ML tree search #5, logLikelihood: -204375.829036 [03:31:42 -1169030.045618] Initial branch length optimization [03:31:48 -940276.206392] Model parameter optimization (eps = 10.000000) [03:32:28 -938141.717562] AUTODETECT spr round 1 (radius: 5) [03:35:29] [worker #1] ML tree search #6, logLikelihood: -204374.553437 [03:35:41 -561805.234779] AUTODETECT spr round 2 (radius: 10) [03:39:03 -399888.764436] AUTODETECT spr round 3 (radius: 15) [03:42:30 -340312.773793] AUTODETECT spr round 4 (radius: 20) [03:46:28 -294182.718600] AUTODETECT spr round 5 (radius: 25) [03:50:45 -260597.529833] SPR radius for FAST iterations: 25 (autodetect) [03:50:45 -260597.529833] Model parameter optimization (eps = 3.000000) [03:51:17 -260388.409780] FAST spr round 1 (radius: 25) [03:55:03 -207163.552843] FAST spr round 2 (radius: 25) [03:57:45 -204756.466424] FAST spr round 3 (radius: 25) [04:00:08 -204480.475368] FAST spr round 4 (radius: 25) [04:02:15 -204472.245226] FAST spr round 5 (radius: 25) [04:04:19 -204467.830288] FAST spr round 6 (radius: 25) [04:06:18 -204467.829948] Model parameter optimization (eps = 1.000000) [04:06:36 -204445.222106] SLOW spr round 1 (radius: 5) [04:09:19 -204410.892579] SLOW spr round 2 (radius: 5) [04:11:57 -204406.755803] SLOW spr round 3 (radius: 5) [04:14:32 -204406.755233] SLOW spr round 4 (radius: 10) [04:17:11 -204405.637065] SLOW spr round 5 (radius: 5) [04:20:25 -204404.676710] SLOW spr round 6 (radius: 5) [04:23:11 -204404.675950] SLOW spr round 7 (radius: 10) [04:25:55 -204404.286789] SLOW spr round 8 (radius: 5) [04:28:59 -204403.516707] SLOW spr round 9 (radius: 5) [04:31:42 -204403.516649] SLOW spr round 10 (radius: 10) [04:34:21 -204403.516591] SLOW spr round 11 (radius: 15) [04:38:22 -204403.030028] SLOW spr round 12 (radius: 5) [04:41:42 -204403.029967] SLOW spr round 13 (radius: 10) [04:44:48 -204403.029909] SLOW spr round 14 (radius: 15) [04:48:49 -204403.029851] SLOW spr round 15 (radius: 20) [04:53:30] [worker #1] ML tree search #8, logLikelihood: -204384.409347 [04:54:58 -204403.029793] SLOW spr round 16 (radius: 25) [05:02:33 -204403.029736] Model parameter optimization (eps = 0.100000) [05:02:39] [worker #0] ML tree search #7, logLikelihood: -204403.011487 [05:02:39 -1183030.058217] Initial branch length optimization [05:02:44 -950783.360516] Model parameter optimization (eps = 10.000000) [05:03:36 -948492.998071] AUTODETECT spr round 1 (radius: 5) [05:06:48 -579068.035935] AUTODETECT spr round 2 (radius: 10) [05:10:11 -414202.291692] AUTODETECT spr round 3 (radius: 15) [05:13:57 -305220.580274] AUTODETECT spr round 4 (radius: 20) [05:17:41 -260843.117940] AUTODETECT spr round 5 (radius: 25) [05:21:54 -249345.432457] SPR radius for FAST iterations: 25 (autodetect) [05:21:54 -249345.432457] Model parameter optimization (eps = 3.000000) [05:22:17 -249142.111866] FAST spr round 1 (radius: 25) [05:25:43 -209055.379746] FAST spr round 2 (radius: 25) [05:28:17 -204640.742725] FAST spr round 3 (radius: 25) [05:30:33 -204522.129066] FAST spr round 4 (radius: 25) [05:32:39 -204488.653309] FAST spr round 5 (radius: 25) [05:34:40 -204481.148845] FAST spr round 6 (radius: 25) [05:36:34 -204481.148209] Model parameter optimization (eps = 1.000000) [05:36:52 -204445.516989] SLOW spr round 1 (radius: 5) [05:39:29 -204390.076729] SLOW spr round 2 (radius: 5) [05:42:05 -204380.034307] SLOW spr round 3 (radius: 5) [05:44:34 -204379.865138] SLOW spr round 4 (radius: 5) [05:47:01 -204379.865066] SLOW spr round 5 (radius: 10) [05:49:34 -204378.925321] SLOW spr round 6 (radius: 5) [05:52:41 -204378.002626] SLOW spr round 7 (radius: 5) [05:55:26 -204378.002129] SLOW spr round 8 (radius: 10) [05:58:11 -204378.002056] SLOW spr round 9 (radius: 15) [06:02:19 -204377.450535] SLOW spr round 10 (radius: 5) [06:04:05] [worker #1] ML tree search #10, logLikelihood: -204395.538476 [06:05:46 -204377.450471] SLOW spr round 11 (radius: 10) [06:08:56 -204377.450411] SLOW spr round 12 (radius: 15) [06:12:55 -204377.450351] SLOW spr round 13 (radius: 20) [06:19:23 -204377.450290] SLOW spr round 14 (radius: 25) [06:26:59 -204377.450230] Model parameter optimization (eps = 0.100000) [06:27:06] [worker #0] ML tree search #9, logLikelihood: -204377.425963 [06:27:06 -1174705.752975] Initial branch length optimization [06:27:11 -940879.927975] Model parameter optimization (eps = 10.000000) [06:27:56 -938770.059055] AUTODETECT spr round 1 (radius: 5) [06:31:04 -562041.541206] AUTODETECT spr round 2 (radius: 10) [06:34:12 -398932.037722] AUTODETECT spr round 3 (radius: 15) [06:37:40 -310999.352122] AUTODETECT spr round 4 (radius: 20) [06:42:10 -261932.065341] AUTODETECT spr round 5 (radius: 25) [06:47:54 -244473.879580] SPR radius for FAST iterations: 25 (autodetect) [06:47:54 -244473.879580] Model parameter optimization (eps = 3.000000) [06:48:20 -244243.622559] FAST spr round 1 (radius: 25) [06:51:47 -206456.799365] FAST spr round 2 (radius: 25) [06:54:18 -204575.083999] FAST spr round 3 (radius: 25) [06:56:40 -204457.806416] FAST spr round 4 (radius: 25) [06:58:48 -204453.035245] FAST spr round 5 (radius: 25) [07:00:54 -204445.243334] FAST spr round 6 (radius: 25) [07:02:56 -204445.242996] Model parameter optimization (eps = 1.000000) [07:03:15 -204428.971808] SLOW spr round 1 (radius: 5) [07:05:59 -204381.642032] SLOW spr round 2 (radius: 5) [07:08:42 -204377.697177] SLOW spr round 3 (radius: 5) [07:11:17 -204377.696769] SLOW spr round 4 (radius: 10) [07:13:59 -204377.500289] SLOW spr round 5 (radius: 5) [07:17:17 -204377.499717] SLOW spr round 6 (radius: 10) [07:20:18 -204377.499362] SLOW spr round 7 (radius: 15) [07:24:21 -204377.498686] SLOW spr round 8 (radius: 20) [07:30:17 -204377.498330] SLOW spr round 9 (radius: 25) [07:32:20] [worker #1] ML tree search #12, logLikelihood: -204385.321513 [07:37:30 -204377.497973] Model parameter optimization (eps = 0.100000) [07:37:36] [worker #0] ML tree search #11, logLikelihood: -204377.469090 [07:37:36 -1182939.248280] Initial branch length optimization [07:37:41 -948392.017618] Model parameter optimization (eps = 10.000000) [07:38:29 -946210.158031] AUTODETECT spr round 1 (radius: 5) [07:41:40 -568167.647166] AUTODETECT spr round 2 (radius: 10) [07:44:53 -388003.879027] AUTODETECT spr round 3 (radius: 15) [07:48:28 -298308.375784] AUTODETECT spr round 4 (radius: 20) [07:52:31 -254061.012892] AUTODETECT spr round 5 (radius: 25) [07:56:36 -249733.691512] SPR radius for FAST iterations: 25 (autodetect) [07:56:36 -249733.691512] Model parameter optimization (eps = 3.000000) [07:56:58 -249514.112141] FAST spr round 1 (radius: 25) [08:00:11 -206036.500590] FAST spr round 2 (radius: 25) [08:02:42 -204473.753553] FAST spr round 3 (radius: 25) [08:04:54 -204439.758997] FAST spr round 4 (radius: 25) [08:06:55 -204435.373062] FAST spr round 5 (radius: 25) [08:08:49 -204435.372495] Model parameter optimization (eps = 1.000000) [08:09:08 -204416.111221] SLOW spr round 1 (radius: 5) [08:11:44 -204397.951755] SLOW spr round 2 (radius: 5) [08:14:13 -204397.700187] SLOW spr round 3 (radius: 5) [08:16:40 -204396.959532] SLOW spr round 4 (radius: 5) [08:19:09 -204394.598711] SLOW spr round 5 (radius: 5) [08:21:36 -204394.598325] SLOW spr round 6 (radius: 10) [08:24:07 -204394.597966] SLOW spr round 7 (radius: 15) [08:28:09 -204394.597607] SLOW spr round 8 (radius: 20) [08:33:23] [worker #1] ML tree search #14, logLikelihood: -204377.466338 [08:33:55 -204394.597247] SLOW spr round 9 (radius: 25) [08:41:11 -204394.596915] Model parameter optimization (eps = 0.100000) [08:41:17] [worker #0] ML tree search #13, logLikelihood: -204394.574446 [08:41:17 -1173746.040870] Initial branch length optimization [08:41:24 -943662.256387] Model parameter optimization (eps = 10.000000) [08:42:07 -941704.998288] AUTODETECT spr round 1 (radius: 5) [08:45:16 -574818.644748] AUTODETECT spr round 2 (radius: 10) [08:48:26 -429421.187954] AUTODETECT spr round 3 (radius: 15) [08:52:06 -317916.057330] AUTODETECT spr round 4 (radius: 20) [08:55:51 -293630.983581] AUTODETECT spr round 5 (radius: 25) [08:59:48 -272186.180044] SPR radius for FAST iterations: 25 (autodetect) [08:59:48 -272186.180044] Model parameter optimization (eps = 3.000000) [09:00:00 -272160.420963] FAST spr round 1 (radius: 25) [09:03:28 -207510.388630] FAST spr round 2 (radius: 25) [09:06:04 -204770.177517] FAST spr round 3 (radius: 25) [09:08:30 -204644.963041] FAST spr round 4 (radius: 25) [09:10:32 -204598.398332] FAST spr round 5 (radius: 25) [09:12:28 -204596.527157] FAST spr round 6 (radius: 25) [09:14:20 -204596.526846] Model parameter optimization (eps = 1.000000) [09:14:38 -204429.615504] SLOW spr round 1 (radius: 5) [09:17:14 -204398.275612] SLOW spr round 2 (radius: 5) [09:19:53 -204383.743994] SLOW spr round 3 (radius: 5) [09:22:27 -204383.743097] SLOW spr round 4 (radius: 10) [09:25:06 -204383.742722] SLOW spr round 5 (radius: 15) [09:29:25 -204383.179999] SLOW spr round 6 (radius: 5) [09:32:51 -204383.179609] SLOW spr round 7 (radius: 10) [09:35:58 -204383.179251] SLOW spr round 8 (radius: 15) [09:39:58 -204383.178891] SLOW spr round 9 (radius: 20) [09:44:43] [worker #1] ML tree search #16, logLikelihood: -204387.993838 [09:46:22 -204383.178532] SLOW spr round 10 (radius: 25) [09:53:53 -204383.178312] Model parameter optimization (eps = 0.100000) [09:54:00] [worker #0] ML tree search #15, logLikelihood: -204383.110523 [09:54:00 -1173545.592732] Initial branch length optimization [09:54:06 -941837.033222] Model parameter optimization (eps = 10.000000) [09:54:56 -939784.748034] AUTODETECT spr round 1 (radius: 5) [09:58:08 -565678.937616] AUTODETECT spr round 2 (radius: 10) [10:01:28 -404146.129493] AUTODETECT spr round 3 (radius: 15) [10:05:10 -334928.913449] AUTODETECT spr round 4 (radius: 20) [10:09:11 -297445.478122] AUTODETECT spr round 5 (radius: 25) [10:13:54 -267195.072867] SPR radius for FAST iterations: 25 (autodetect) [10:13:54 -267195.072867] Model parameter optimization (eps = 3.000000) [10:14:22 -266983.021905] FAST spr round 1 (radius: 25) [10:18:09 -208353.955742] FAST spr round 2 (radius: 25) [10:20:57 -204612.254631] FAST spr round 3 (radius: 25) [10:23:19 -204498.446118] FAST spr round 4 (radius: 25) [10:25:32 -204490.190043] FAST spr round 5 (radius: 25) [10:27:35 -204488.437644] FAST spr round 6 (radius: 25) [10:29:36 -204488.436883] Model parameter optimization (eps = 1.000000) [10:29:54 -204438.725478] SLOW spr round 1 (radius: 5) [10:32:41 -204397.327948] SLOW spr round 2 (radius: 5) [10:35:24 -204389.463023] SLOW spr round 3 (radius: 5) [10:38:01 -204387.107725] SLOW spr round 4 (radius: 5) [10:40:34 -204387.107651] SLOW spr round 5 (radius: 10) [10:43:14 -204386.581545] SLOW spr round 6 (radius: 5) [10:46:30 -204385.664551] SLOW spr round 7 (radius: 5) [10:49:23 -204385.664067] SLOW spr round 8 (radius: 10) [10:52:09 -204385.663990] SLOW spr round 9 (radius: 15) [10:56:22 -204385.663926] SLOW spr round 10 (radius: 20) [11:02:44 -204385.663861] SLOW spr round 11 (radius: 25) [11:10:45 -204385.663797] Model parameter optimization (eps = 0.100000) [11:10:50] [worker #0] ML tree search #17, logLikelihood: -204385.643872 [11:10:50 -1176728.167765] Initial branch length optimization [11:10:57 -941022.213205] Model parameter optimization (eps = 10.000000) [11:11:47] [worker #1] ML tree search #18, logLikelihood: -204381.643907 [11:11:49 -938903.021956] AUTODETECT spr round 1 (radius: 5) [11:15:06 -579297.301185] AUTODETECT spr round 2 (radius: 10) [11:18:17 -401998.716655] AUTODETECT spr round 3 (radius: 15) [11:21:43 -336799.739113] AUTODETECT spr round 4 (radius: 20) [11:25:44 -257801.218902] AUTODETECT spr round 5 (radius: 25) [11:29:31 -252416.029526] SPR radius for FAST iterations: 25 (autodetect) [11:29:31 -252416.029526] Model parameter optimization (eps = 3.000000) [11:30:01 -252154.163336] FAST spr round 1 (radius: 25) [11:33:18 -206812.342714] FAST spr round 2 (radius: 25) [11:35:45 -204501.313992] FAST spr round 3 (radius: 25) [11:37:57 -204427.138924] FAST spr round 4 (radius: 25) [11:39:58 -204427.136943] Model parameter optimization (eps = 1.000000) [11:40:16 -204415.823736] SLOW spr round 1 (radius: 5) [11:42:56 -204381.949834] SLOW spr round 2 (radius: 5) [11:45:27 -204381.588788] SLOW spr round 3 (radius: 5) [11:47:56 -204381.588366] SLOW spr round 4 (radius: 10) [11:50:31 -204381.588009] SLOW spr round 5 (radius: 15) [11:54:42 -204381.587655] SLOW spr round 6 (radius: 20) [12:00:36 -204381.587302] SLOW spr round 7 (radius: 25) [12:07:58 -204381.586947] Model parameter optimization (eps = 0.100000) [12:08:04] [worker #0] ML tree search #19, logLikelihood: -204381.561201 [12:25:23] [worker #1] ML tree search #20, logLikelihood: -204377.984904 Optimized model parameters: Partition 0: noname Rate heterogeneity: FREE (4 cats, mean), weights&rates: (0.204827,0.369621) (0.187534,0.483470) (0.356697,0.849393) (0.250942,2.114628) 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: -204374.553437 AIC score: 412759.106874 / AICc score: 8456819.106874 / BIC score: 422213.450564 Free parameters (model + branch lengths): 2005 WARNING: Number of free parameters (K=2005) is larger than alignment size (n=825). This might lead to overfitting and compromise tree inference results! Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020.raxml.bestTree All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020.raxml.mlTrees Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020.raxml.bestModel Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15020/3_mltree/O15020.raxml.log Analysis started: 01-Jul-2021 15:54:41 / finished: 02-Jul-2021 04:20:05 Elapsed time: 44723.877 seconds Consumed energy: 4220.904 Wh (= 21 km in an electric car, or 106 km with an e-scooter!)