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 15-Jul-2021 11:36:23 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/2_msa/Q8N653_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/3_mltree/Q8N653 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/2_msa/Q8N653_trimmed_msa.fasta
[00:00:00] Loaded alignment with 766 taxa and 1054 sites

WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_K7F9A1_K7F9A1_PELSI_13735 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_U3IHQ1_U3IHQ1_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_A0A087RIE9_A0A087RIE9_APTFO_9233 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_A0A2I0LSG9_A0A2I0LSG9_COLLI_8932 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_A0A1U7RH73_A0A1U7RH73_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_A0A1V4JQC6_A0A1V4JQC6_PATFA_372326 are exactly identical!
WARNING: Sequences tr_E1C049_E1C049_CHICK_9031 and tr_A0A226MKZ7_A0A226MKZ7_CALSU_9009 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_G1NIU5_G1NIU5_MELGA_9103 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_H0ZNM2_H0ZNM2_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_U3KH77_U3KH77_FICAL_59894 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_U3IN54_U3IN54_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A091EXM2_A0A091EXM2_CORBR_85066 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A091JH25_A0A091JH25_EGRGA_188379 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A093SEU9_A0A093SEU9_9PASS_328815 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A091UUR3_A0A091UUR3_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A087QIM5_A0A087QIM5_APTFO_9233 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A093JVQ0_A0A093JVQ0_STRCA_441894 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A091WES2_A0A091WES2_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A0A0AYL4_A0A0A0AYL4_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_E1C377_E1C377_CHICK_9031 and tr_A0A218V2Y6_A0A218V2Y6_9PASE_299123 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_M3YVB9_M3YVB9_MUSPF_9669 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_G1QS99_G1QS99_NOMLE_61853 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_G3HJP9_G3HJP9_CRIGR_10029 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and sp_Q5NVK7_SPOP_PONAB_9601 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_G1TC83_G1TC83_RABIT_9986 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_E2RS90_E2RS90_CANLF_9615 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_H2QDD5_H2QDD5_PANTR_9598 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_F7A1J9_F7A1J9_HORSE_9796 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_B2RYD9_B2RYD9_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_H0X7R0_H0X7R0_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and sp_O43791_SPOP_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_F6XVE8_F6XVE8_MACMU_9544 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_G5C4P5_G5C4P5_HETGA_10181 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_F6X846_F6X846_CALJA_9483 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_I3LA15_I3LA15_PIG_9823 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_G7PU91_G7PU91_MACFA_9541 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and sp_Q0VCW1_SPOP_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_M3VYV6_M3VYV6_FELCA_9685 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A096P456_A0A096P456_PAPAN_9555 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A091DJZ2_A0A091DJZ2_FUKDA_885580 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A1S2ZWH4_A0A1S2ZWH4_ERIEU_9365 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A1S3GZ44_A0A1S3GZ44_DIPOR_10020 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A1U7TQ75_A0A1U7TQ75_TARSY_1868482 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A1U8CBT9_A0A1U8CBT9_MESAU_10036 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2K5L8N1_A0A2K5L8N1_CERAT_9531 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2K6AEJ9_A0A2K6AEJ9_MANLE_9568 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2R8ZSB6_A0A2R8ZSB6_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2U4AHV2_A0A2U4AHV2_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2U3VK85_A0A2U3VK85_ODORO_9708 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2U3YSN9_A0A2U3YSN9_LEPWE_9713 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2Y9DNY6_A0A2Y9DNY6_TRIMA_127582 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2Y9K685_A0A2Y9K685_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2Y9LUR2_A0A2Y9LUR2_DELLE_9749 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A2Y9FSA3_A0A2Y9FSA3_PHYCD_9755 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A384BUW1_A0A384BUW1_URSMA_29073 are exactly identical!
WARNING: Sequences sp_Q6ZWS8_SPOP_MOUSE_10090 and tr_A0A383ZMX7_A0A383ZMX7_BALAS_310752 are exactly identical!
WARNING: Sequences tr_H9HA37_H9HA37_NOMLE_61853 and tr_G3SJ46_G3SJ46_GORGO_9595 are exactly identical!
WARNING: Sequences tr_H9HA37_H9HA37_NOMLE_61853 and tr_H2P7H0_H2P7H0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_H9HA37_H9HA37_NOMLE_61853 and tr_H2QIS3_H2QIS3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H9HA37_H9HA37_NOMLE_61853 and sp_Q6IQ16_SPOPL_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H9HA37_H9HA37_NOMLE_61853 and tr_A0A2R8Z6S0_A0A2R8Z6S0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3IE83_G3IE83_CRIGR_10029 and tr_A0A1U8CJW3_A0A1U8CJW3_MESAU_10036 are exactly identical!
WARNING: Sequences tr_J9P0D7_J9P0D7_CANLF_9615 and tr_A0A2U3WVL9_A0A2U3WVL9_ODORO_9708 are exactly identical!
WARNING: Sequences tr_J9P0D7_J9P0D7_CANLF_9615 and tr_A0A2U3X8S3_A0A2U3X8S3_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_J9P0D7_J9P0D7_CANLF_9615 and tr_A0A2Y9J5E7_A0A2Y9J5E7_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_J9P0D7_J9P0D7_CANLF_9615 and tr_A0A384CGV6_A0A384CGV6_URSMA_29073 are exactly identical!
WARNING: Sequences tr_W5P7C3_W5P7C3_SHEEP_9940 and tr_G3SS50_G3SS50_LOXAF_9785 are exactly identical!
WARNING: Sequences tr_M4AV61_M4AV61_XIPMA_8083 and tr_I3K0E8_I3K0E8_ORENI_8128 are exactly identical!
WARNING: Sequences tr_M4AV61_M4AV61_XIPMA_8083 and tr_A0A087XYL9_A0A087XYL9_POEFO_48698 are exactly identical!
WARNING: Sequences tr_M4AV61_M4AV61_XIPMA_8083 and tr_A0A1S3NFT5_A0A1S3NFT5_SALSA_8030 are exactly identical!
WARNING: Sequences tr_H2RTM1_H2RTM1_TAKRU_31033 and tr_H3DNL3_H3DNL3_TETNG_99883 are exactly identical!
WARNING: Sequences tr_A2QAU0_A2QAU0_ASPNC_425011 and tr_A0A319BJE2_A0A319BJE2_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_F7HSR0_F7HSR0_MACMU_9544 and tr_G7PKI6_G7PKI6_MACFA_9541 are exactly identical!
WARNING: Sequences sp_Q6P8B3_SPOP_XENTR_8364 and tr_A0A1L8ES82_A0A1L8ES82_XENLA_8355 are exactly identical!
WARNING: Sequences tr_F2SX14_F2SX14_TRIRC_559305 and tr_A0A178F9F8_A0A178F9F8_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_L5JQE9_L5JQE9_PTEAL_9402 and tr_A0A091DWV1_A0A091DWV1_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_W2QDQ6_W2QDQ6_PHYPN_761204 and tr_W2JCZ3_W2JCZ3_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A096N9F4_A0A096N9F4_PAPAN_9555 and tr_A0A2K5P841_A0A2K5P841_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096N9F4_A0A096N9F4_PAPAN_9555 and tr_A0A2K5YE07_A0A2K5YE07_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096NS75_A0A096NS75_PAPAN_9555 and tr_A0A2K6ANJ9_A0A2K6ANJ9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_V4T970_V4T970_9ROSI_85681 and tr_A0A2H5PQ54_A0A2H5PQ54_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0A1MML8_A0A0A1MML8_9FUNG_58291 and tr_A0A367JJD2_A0A367JJD2_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A151M0Q9_A0A151M0Q9_ALLMI_8496 and tr_A0A1U7SLX6_A0A1U7SLX6_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091F1V4_A0A091F1V4_CORBR_85066 and tr_A0A218UHF9_A0A218UHF9_9PASE_299123 are exactly identical!
WARNING: Sequences tr_A0A2I0MGH6_A0A2I0MGH6_COLLI_8932 and tr_A0A1V4K5L1_A0A1V4K5L1_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A100I7A8_A0A100I7A8_ASPNG_5061 and tr_A0A1L9N6N4_A0A1L9N6N4_ASPTU_767770 are exactly identical!
WARNING: Sequences tr_A0A1S3JS18_A0A1S3JS18_LINUN_7574 and tr_A0A1S3JT25_A0A1S3JT25_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A2D0QZ81_A0A2D0QZ81_ICTPU_7998 and tr_A0A2D0R0Z9_A0A2D0R0Z9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U3VYF8_A0A2U3VYF8_ODORO_9708 and tr_A0A2U3YLG4_A0A2U3YLG4_LEPWE_9713 are exactly identical!
WARNING: Duplicate sequences found: 89

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/Q8N653/3_mltree/Q8N653.raxml.reduced.phy

Alignment comprises 1 partitions and 1054 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1054 / 1054
Gaps: 53.11 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/3_mltree/Q8N653.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 9 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 766 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 118 / 9440
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -813245.350379] Initial branch length optimization
[00:00:03 -640935.774658] Model parameter optimization (eps = 10.000000)
[00:01:04 -637444.925277] AUTODETECT spr round 1 (radius: 5)
[00:02:26 -469745.549264] AUTODETECT spr round 2 (radius: 10)
[00:03:59 -349217.854029] AUTODETECT spr round 3 (radius: 15)
[00:05:36 -289163.796891] AUTODETECT spr round 4 (radius: 20)
[00:07:29 -263483.289784] AUTODETECT spr round 5 (radius: 25)
[00:09:30 -260867.027413] SPR radius for FAST iterations: 25 (autodetect)
[00:09:30 -260867.027413] Model parameter optimization (eps = 3.000000)
[00:10:07 -259370.766403] FAST spr round 1 (radius: 25)
[00:11:53 -234298.979466] FAST spr round 2 (radius: 25)
[00:13:23 -233165.547692] FAST spr round 3 (radius: 25)
[00:14:38 -233067.239394] FAST spr round 4 (radius: 25)
[00:15:47 -233055.518365] FAST spr round 5 (radius: 25)
[00:16:53 -233052.361760] FAST spr round 6 (radius: 25)
[00:17:58 -233052.361266] Model parameter optimization (eps = 1.000000)
[00:18:16 -233039.171786] SLOW spr round 1 (radius: 5)
[00:19:43 -232986.447008] SLOW spr round 2 (radius: 5)
[00:21:10 -232984.736163] SLOW spr round 3 (radius: 5)
[00:22:32 -232984.735925] SLOW spr round 4 (radius: 10)
[00:24:00 -232974.391721] SLOW spr round 5 (radius: 5)
[00:25:44 -232971.975904] SLOW spr round 6 (radius: 5)
[00:27:19 -232971.650354] SLOW spr round 7 (radius: 5)
[00:28:45 -232971.648893] SLOW spr round 8 (radius: 10)
[00:30:21 -232971.648460] SLOW spr round 9 (radius: 15)
[00:33:00 -232971.648282] SLOW spr round 10 (radius: 20)
[00:36:06 -232971.648186] SLOW spr round 11 (radius: 25)
[00:39:57 -232971.648159] Model parameter optimization (eps = 0.100000)

[00:40:08] ML tree search #1, logLikelihood: -232971.474374

[00:40:08 -815000.607621] Initial branch length optimization
[00:40:11 -640806.122280] Model parameter optimization (eps = 10.000000)
[00:41:12 -637442.120374] AUTODETECT spr round 1 (radius: 5)
[00:42:33 -453726.415864] AUTODETECT spr round 2 (radius: 10)
[00:44:03 -359095.519042] AUTODETECT spr round 3 (radius: 15)
[00:45:31 -301114.034961] AUTODETECT spr round 4 (radius: 20)
[00:47:14 -263907.037061] AUTODETECT spr round 5 (radius: 25)
[00:49:16 -258247.927882] SPR radius for FAST iterations: 25 (autodetect)
[00:49:16 -258247.927882] Model parameter optimization (eps = 3.000000)
[00:49:56 -256917.728470] FAST spr round 1 (radius: 25)
[00:51:55 -234232.937672] FAST spr round 2 (radius: 25)
[00:53:32 -233263.587806] FAST spr round 3 (radius: 25)
[00:54:57 -233216.564402] FAST spr round 4 (radius: 25)
[00:56:08 -233210.486947] FAST spr round 5 (radius: 25)
[00:57:10 -233210.486703] Model parameter optimization (eps = 1.000000)
[00:57:23 -233202.550923] SLOW spr round 1 (radius: 5)
[00:58:49 -233170.533349] SLOW spr round 2 (radius: 5)
[01:00:17 -233167.536392] SLOW spr round 3 (radius: 5)
[01:01:46 -233006.159402] SLOW spr round 4 (radius: 5)
[01:03:11 -233006.159184] SLOW spr round 5 (radius: 10)
[01:04:45 -233001.990326] SLOW spr round 6 (radius: 5)
[01:06:32 -233001.990203] SLOW spr round 7 (radius: 10)
[01:08:14 -233001.990135] SLOW spr round 8 (radius: 15)
[01:10:32 -232986.096421] SLOW spr round 9 (radius: 5)
[01:12:22 -232928.497600] SLOW spr round 10 (radius: 5)
[01:13:59 -232928.496038] SLOW spr round 11 (radius: 10)
[01:15:36 -232928.495812] SLOW spr round 12 (radius: 15)
[01:18:00 -232928.495724] SLOW spr round 13 (radius: 20)
[01:21:01 -232914.745126] SLOW spr round 14 (radius: 5)
[01:22:53 -232911.191308] SLOW spr round 15 (radius: 5)
[01:24:35 -232910.215017] SLOW spr round 16 (radius: 5)
[01:26:04 -232910.163296] SLOW spr round 17 (radius: 10)
[01:27:36 -232910.162905] SLOW spr round 18 (radius: 15)
[01:30:06 -232910.162763] SLOW spr round 19 (radius: 20)
[01:33:01 -232910.162692] SLOW spr round 20 (radius: 25)
[01:36:39 -232910.162616] Model parameter optimization (eps = 0.100000)

[01:36:47] ML tree search #2, logLikelihood: -232909.799644

[01:36:47 -818800.196849] Initial branch length optimization
[01:36:51 -644680.677857] Model parameter optimization (eps = 10.000000)
[01:37:45 -640982.719318] AUTODETECT spr round 1 (radius: 5)
[01:39:06 -475043.186390] AUTODETECT spr round 2 (radius: 10)
[01:40:37 -363547.289812] AUTODETECT spr round 3 (radius: 15)
[01:42:15 -311728.051593] AUTODETECT spr round 4 (radius: 20)
[01:44:02 -273484.814519] AUTODETECT spr round 5 (radius: 25)
[01:45:52 -262370.604680] SPR radius for FAST iterations: 25 (autodetect)
[01:45:52 -262370.604680] Model parameter optimization (eps = 3.000000)
[01:46:28 -260254.862631] FAST spr round 1 (radius: 25)
[01:48:39 -234510.600556] FAST spr round 2 (radius: 25)
[01:50:21 -233026.064433] FAST spr round 3 (radius: 25)
[01:51:47 -232955.069036] FAST spr round 4 (radius: 25)
[01:52:57 -232955.067152] Model parameter optimization (eps = 1.000000)
[01:53:11 -232947.283233] SLOW spr round 1 (radius: 5)
[01:54:41 -232921.813740] SLOW spr round 2 (radius: 5)
[01:56:03 -232918.506242] SLOW spr round 3 (radius: 5)
[01:57:24 -232918.505898] SLOW spr round 4 (radius: 10)
[01:58:56 -232910.915857] SLOW spr round 5 (radius: 5)
[02:00:47 -232906.197877] SLOW spr round 6 (radius: 5)
[02:02:21 -232906.050845] SLOW spr round 7 (radius: 5)
[02:03:51 -232906.050379] SLOW spr round 8 (radius: 10)
[02:05:26 -232906.050329] SLOW spr round 9 (radius: 15)
[02:07:55 -232906.050318] SLOW spr round 10 (radius: 20)
[02:11:04 -232906.050314] SLOW spr round 11 (radius: 25)
[02:14:44 -232906.050312] Model parameter optimization (eps = 0.100000)

[02:14:50] ML tree search #3, logLikelihood: -232905.946845

[02:14:50 -820632.099025] Initial branch length optimization
[02:14:54 -641565.084068] Model parameter optimization (eps = 10.000000)
[02:15:42 -637960.359574] AUTODETECT spr round 1 (radius: 5)
[02:17:00 -476941.724645] AUTODETECT spr round 2 (radius: 10)
[02:18:27 -363068.122891] AUTODETECT spr round 3 (radius: 15)
[02:19:58 -294765.953152] AUTODETECT spr round 4 (radius: 20)
[02:21:45 -269232.462452] AUTODETECT spr round 5 (radius: 25)
[02:23:38 -262581.112664] SPR radius for FAST iterations: 25 (autodetect)
[02:23:38 -262581.112664] Model parameter optimization (eps = 3.000000)
[02:24:15 -260982.988542] FAST spr round 1 (radius: 25)
[02:26:07 -234323.478003] FAST spr round 2 (radius: 25)
[02:27:33 -233089.702977] FAST spr round 3 (radius: 25)
[02:28:50 -233049.208492] FAST spr round 4 (radius: 25)
[02:29:57 -233030.911702] FAST spr round 5 (radius: 25)
[02:31:00 -233018.855723] FAST spr round 6 (radius: 25)
[02:32:02 -233018.677860] FAST spr round 7 (radius: 25)
[02:33:04 -233018.677093] Model parameter optimization (eps = 1.000000)
[02:33:16 -233011.688178] SLOW spr round 1 (radius: 5)
[02:34:41 -232973.070793] SLOW spr round 2 (radius: 5)
[02:36:09 -232970.178376] SLOW spr round 3 (radius: 5)
[02:37:33 -232970.176088] SLOW spr round 4 (radius: 10)
[02:39:04 -232964.671452] SLOW spr round 5 (radius: 5)
[02:40:51 -232954.628733] SLOW spr round 6 (radius: 5)
[02:42:24 -232949.340307] SLOW spr round 7 (radius: 5)
[02:43:48 -232949.339169] SLOW spr round 8 (radius: 10)
[02:45:17 -232949.339015] SLOW spr round 9 (radius: 15)
[02:47:53 -232949.338986] SLOW spr round 10 (radius: 20)
[02:51:12 -232949.338980] SLOW spr round 11 (radius: 25)
[02:54:45 -232949.338978] Model parameter optimization (eps = 0.100000)

[02:54:54] ML tree search #4, logLikelihood: -232948.785287

[02:54:54 -822655.752423] Initial branch length optimization
[02:54:56 -647622.883801] Model parameter optimization (eps = 10.000000)
[02:55:51 -644114.167720] AUTODETECT spr round 1 (radius: 5)
[02:57:10 -464099.033220] AUTODETECT spr round 2 (radius: 10)
[02:58:43 -347638.818264] AUTODETECT spr round 3 (radius: 15)
[03:00:24 -280399.028826] AUTODETECT spr round 4 (radius: 20)
[03:02:25 -265992.181383] AUTODETECT spr round 5 (radius: 25)
[03:04:35 -257311.052644] SPR radius for FAST iterations: 25 (autodetect)
[03:04:35 -257311.052644] Model parameter optimization (eps = 3.000000)
[03:05:08 -255722.411087] FAST spr round 1 (radius: 25)
[03:07:02 -234181.434964] FAST spr round 2 (radius: 25)
[03:08:29 -233063.807732] FAST spr round 3 (radius: 25)
[03:09:49 -233009.894460] FAST spr round 4 (radius: 25)
[03:11:01 -233006.203891] FAST spr round 5 (radius: 25)
[03:12:09 -233006.203147] Model parameter optimization (eps = 1.000000)
[03:12:24 -232992.348044] SLOW spr round 1 (radius: 5)
[03:13:51 -232946.400719] SLOW spr round 2 (radius: 5)
[03:15:20 -232943.331507] SLOW spr round 3 (radius: 5)
[03:16:41 -232943.331055] SLOW spr round 4 (radius: 10)
[03:18:06 -232941.948399] SLOW spr round 5 (radius: 5)
[03:19:48 -232940.697945] SLOW spr round 6 (radius: 5)
[03:21:21 -232940.697868] SLOW spr round 7 (radius: 10)
[03:22:56 -232940.697793] SLOW spr round 8 (radius: 15)
[03:25:32 -232937.618472] SLOW spr round 9 (radius: 5)
[03:27:19 -232937.616599] SLOW spr round 10 (radius: 10)
[03:29:02 -232937.616018] SLOW spr round 11 (radius: 15)
[03:31:25 -232937.615791] SLOW spr round 12 (radius: 20)
[03:34:44 -232937.615676] SLOW spr round 13 (radius: 25)
[03:38:35 -232937.615589] Model parameter optimization (eps = 0.100000)

[03:38:40] ML tree search #5, logLikelihood: -232937.532820

[03:38:40 -816426.490168] Initial branch length optimization
[03:38:44 -644319.955154] Model parameter optimization (eps = 10.000000)
[03:39:27 -640867.949904] AUTODETECT spr round 1 (radius: 5)
[03:40:42 -467633.443160] AUTODETECT spr round 2 (radius: 10)
[03:42:11 -359336.161482] AUTODETECT spr round 3 (radius: 15)
[03:43:51 -305461.338363] AUTODETECT spr round 4 (radius: 20)
[03:45:38 -282055.633005] AUTODETECT spr round 5 (radius: 25)
[03:47:42 -272459.129592] SPR radius for FAST iterations: 25 (autodetect)
[03:47:42 -272459.129592] Model parameter optimization (eps = 3.000000)
[03:48:17 -270498.648651] FAST spr round 1 (radius: 25)
[03:50:31 -235797.174244] FAST spr round 2 (radius: 25)
[03:52:06 -233185.770094] FAST spr round 3 (radius: 25)
[03:53:28 -233049.860530] FAST spr round 4 (radius: 25)
[03:54:42 -233026.486174] FAST spr round 5 (radius: 25)
[03:55:48 -233026.485382] Model parameter optimization (eps = 1.000000)
[03:55:58 -233019.329953] SLOW spr round 1 (radius: 5)
[03:57:33 -232962.797567] SLOW spr round 2 (radius: 5)
[03:59:05 -232959.577336] SLOW spr round 3 (radius: 5)
[04:00:34 -232959.516701] SLOW spr round 4 (radius: 10)
[04:02:05 -232959.347559] SLOW spr round 5 (radius: 5)
[04:03:44 -232959.347385] SLOW spr round 6 (radius: 10)
[04:05:25 -232959.347369] SLOW spr round 7 (radius: 15)
[04:07:52 -232956.328541] SLOW spr round 8 (radius: 5)
[04:09:43 -232956.280153] SLOW spr round 9 (radius: 10)
[04:11:34 -232956.278331] SLOW spr round 10 (radius: 15)
[04:13:56 -232956.277815] SLOW spr round 11 (radius: 20)
[04:16:56 -232956.277665] SLOW spr round 12 (radius: 25)
[04:20:36 -232955.566763] SLOW spr round 13 (radius: 5)
[04:22:34 -232928.427299] SLOW spr round 14 (radius: 5)
[04:24:18 -232918.705834] SLOW spr round 15 (radius: 5)
[04:25:49 -232914.609839] SLOW spr round 16 (radius: 5)
[04:27:11 -232914.609020] SLOW spr round 17 (radius: 10)
[04:28:38 -232914.608993] SLOW spr round 18 (radius: 15)
[04:31:13 -232914.608990] SLOW spr round 19 (radius: 20)
[04:34:23 -232914.608989] SLOW spr round 20 (radius: 25)
[04:38:00 -232914.608989] Model parameter optimization (eps = 0.100000)

[04:38:09] ML tree search #6, logLikelihood: -232914.452646

[04:38:09 -826742.726839] Initial branch length optimization
[04:38:12 -644535.683352] Model parameter optimization (eps = 10.000000)
[04:39:22 -640947.255189] AUTODETECT spr round 1 (radius: 5)
[04:40:42 -483106.051125] AUTODETECT spr round 2 (radius: 10)
[04:42:13 -377025.373929] AUTODETECT spr round 3 (radius: 15)
[04:43:42 -326259.542172] AUTODETECT spr round 4 (radius: 20)
[04:45:30 -287302.651343] AUTODETECT spr round 5 (radius: 25)
[04:47:20 -278304.933263] SPR radius for FAST iterations: 25 (autodetect)
[04:47:20 -278304.933263] Model parameter optimization (eps = 3.000000)
[04:48:01 -276265.183473] FAST spr round 1 (radius: 25)
[04:49:59 -236685.723161] FAST spr round 2 (radius: 25)
[04:51:29 -233244.832449] FAST spr round 3 (radius: 25)
[04:52:47 -233005.938593] FAST spr round 4 (radius: 25)
[04:53:58 -232980.235985] FAST spr round 5 (radius: 25)
[04:55:02 -232978.772410] FAST spr round 6 (radius: 25)
[04:56:05 -232978.772111] Model parameter optimization (eps = 1.000000)
[04:56:21 -232966.463480] SLOW spr round 1 (radius: 5)
[04:57:51 -232932.495738] SLOW spr round 2 (radius: 5)
[04:59:20 -232926.183715] SLOW spr round 3 (radius: 5)
[05:00:46 -232920.522937] SLOW spr round 4 (radius: 5)
[05:02:11 -232919.737272] SLOW spr round 5 (radius: 5)
[05:03:34 -232919.736831] SLOW spr round 6 (radius: 10)
[05:05:05 -232919.541715] SLOW spr round 7 (radius: 5)
[05:06:44 -232919.541635] SLOW spr round 8 (radius: 10)
[05:08:25 -232919.541556] SLOW spr round 9 (radius: 15)
[05:10:51 -232913.847047] SLOW spr round 10 (radius: 5)
[05:12:41 -232911.847023] SLOW spr round 11 (radius: 5)
[05:14:15 -232911.845962] SLOW spr round 12 (radius: 10)
[05:15:57 -232911.845615] SLOW spr round 13 (radius: 15)
[05:18:36 -232911.845477] SLOW spr round 14 (radius: 20)
[05:21:57 -232911.845457] SLOW spr round 15 (radius: 25)
[05:25:31 -232911.845451] Model parameter optimization (eps = 0.100000)

[05:25:38] ML tree search #7, logLikelihood: -232911.752294

[05:25:38 -812496.913774] Initial branch length optimization
[05:25:41 -637265.977496] Model parameter optimization (eps = 10.000000)
[05:26:25 -633981.312151] AUTODETECT spr round 1 (radius: 5)
[05:27:42 -459953.352082] AUTODETECT spr round 2 (radius: 10)
[05:29:13 -351723.714857] AUTODETECT spr round 3 (radius: 15)
[05:30:50 -298227.514788] AUTODETECT spr round 4 (radius: 20)
[05:32:35 -274025.579864] AUTODETECT spr round 5 (radius: 25)
[05:34:32 -266420.119969] SPR radius for FAST iterations: 25 (autodetect)
[05:34:32 -266420.119969] Model parameter optimization (eps = 3.000000)
[05:35:05 -264550.683563] FAST spr round 1 (radius: 25)
[05:37:07 -234870.587811] FAST spr round 2 (radius: 25)
[05:38:43 -233180.312724] FAST spr round 3 (radius: 25)
[05:40:03 -233122.969460] FAST spr round 4 (radius: 25)
[05:41:16 -233117.967895] FAST spr round 5 (radius: 25)
[05:42:28 -233007.272441] FAST spr round 6 (radius: 25)
[05:43:44 -232987.437665] FAST spr round 7 (radius: 25)
[05:44:51 -232979.436839] FAST spr round 8 (radius: 25)
[05:45:52 -232979.436561] Model parameter optimization (eps = 1.000000)
[05:46:03 -232964.622973] SLOW spr round 1 (radius: 5)
[05:47:27 -232933.698600] SLOW spr round 2 (radius: 5)
[05:48:51 -232921.365358] SLOW spr round 3 (radius: 5)
[05:50:13 -232921.139894] SLOW spr round 4 (radius: 5)
[05:51:34 -232921.139713] SLOW spr round 5 (radius: 10)
[05:53:07 -232910.325488] SLOW spr round 6 (radius: 5)
[05:54:49 -232909.205996] SLOW spr round 7 (radius: 5)
[05:56:19 -232909.205652] SLOW spr round 8 (radius: 10)
[05:57:54 -232909.205627] SLOW spr round 9 (radius: 15)
[06:00:24 -232906.157546] SLOW spr round 10 (radius: 5)
[06:02:12 -232906.108674] SLOW spr round 11 (radius: 10)
[06:03:58 -232906.106833] SLOW spr round 12 (radius: 15)
[06:06:20 -232906.106309] SLOW spr round 13 (radius: 20)
[06:09:33 -232906.106162] SLOW spr round 14 (radius: 25)
[06:13:18 -232905.161901] SLOW spr round 15 (radius: 5)
[06:15:12 -232905.161884] SLOW spr round 16 (radius: 10)
[06:17:12 -232905.161878] SLOW spr round 17 (radius: 15)
[06:19:34 -232905.161875] SLOW spr round 18 (radius: 20)
[06:22:49 -232905.161871] SLOW spr round 19 (radius: 25)
[06:26:31 -232905.161868] Model parameter optimization (eps = 0.100000)

[06:26:42] ML tree search #8, logLikelihood: -232904.452473

[06:26:43 -807267.581205] Initial branch length optimization
[06:26:45 -638636.469757] Model parameter optimization (eps = 10.000000)
[06:27:39 -635430.084829] AUTODETECT spr round 1 (radius: 5)
[06:29:00 -477214.761256] AUTODETECT spr round 2 (radius: 10)
[06:30:33 -365662.338457] AUTODETECT spr round 3 (radius: 15)
[06:32:14 -299219.663443] AUTODETECT spr round 4 (radius: 20)
[06:34:04 -274095.996752] AUTODETECT spr round 5 (radius: 25)
[06:35:58 -267350.432287] SPR radius for FAST iterations: 25 (autodetect)
[06:35:58 -267350.432287] Model parameter optimization (eps = 3.000000)
[06:36:39 -266023.549237] FAST spr round 1 (radius: 25)
[06:38:40 -235245.005383] FAST spr round 2 (radius: 25)
[06:40:09 -233163.581695] FAST spr round 3 (radius: 25)
[06:41:25 -233015.516979] FAST spr round 4 (radius: 25)
[06:42:35 -232985.948868] FAST spr round 5 (radius: 25)
[06:43:39 -232984.900292] FAST spr round 6 (radius: 25)
[06:44:42 -232984.898532] Model parameter optimization (eps = 1.000000)
[06:44:54 -232977.734279] SLOW spr round 1 (radius: 5)
[06:46:19 -232939.605693] SLOW spr round 2 (radius: 5)
[06:47:46 -232934.512453] SLOW spr round 3 (radius: 5)
[06:49:13 -232933.728653] SLOW spr round 4 (radius: 5)
[06:50:38 -232933.728125] SLOW spr round 5 (radius: 10)
[06:52:11 -232926.812001] SLOW spr round 6 (radius: 5)
[06:53:56 -232926.784475] SLOW spr round 7 (radius: 10)
[06:55:42 -232926.782532] SLOW spr round 8 (radius: 15)
[06:58:08 -232926.781938] SLOW spr round 9 (radius: 20)
[07:01:22 -232926.781727] SLOW spr round 10 (radius: 25)
[07:05:08 -232926.781621] Model parameter optimization (eps = 0.100000)

[07:05:15] ML tree search #9, logLikelihood: -232926.582280

[07:05:15 -816336.680226] Initial branch length optimization
[07:05:18 -644273.258430] Model parameter optimization (eps = 10.000000)
[07:06:04 -640960.643265] AUTODETECT spr round 1 (radius: 5)
[07:07:25 -472296.187470] AUTODETECT spr round 2 (radius: 10)
[07:08:57 -366184.723829] AUTODETECT spr round 3 (radius: 15)
[07:10:39 -300124.946789] AUTODETECT spr round 4 (radius: 20)
[07:12:32 -268141.984648] AUTODETECT spr round 5 (radius: 25)
[07:14:39 -264782.417675] SPR radius for FAST iterations: 25 (autodetect)
[07:14:39 -264782.417675] Model parameter optimization (eps = 3.000000)
[07:15:18 -263118.927686] FAST spr round 1 (radius: 25)
[07:17:15 -235458.943578] FAST spr round 2 (radius: 25)
[07:18:43 -234402.498489] FAST spr round 3 (radius: 25)
[07:20:03 -234348.513445] FAST spr round 4 (radius: 25)
[07:21:18 -234334.368787] FAST spr round 5 (radius: 25)
[07:22:27 -234334.367201] Model parameter optimization (eps = 1.000000)
[07:22:42 -234322.013597] SLOW spr round 1 (radius: 5)
[07:24:14 -234286.527345] SLOW spr round 2 (radius: 5)
[07:25:43 -234286.524020] SLOW spr round 3 (radius: 10)
[07:27:18 -234283.291760] SLOW spr round 4 (radius: 5)
[07:29:05 -234283.289774] SLOW spr round 5 (radius: 10)
[07:30:51 -234283.289149] SLOW spr round 6 (radius: 15)
[07:33:16 -234283.288916] SLOW spr round 7 (radius: 20)
[07:36:21 -234283.288795] SLOW spr round 8 (radius: 25)
[07:39:51 -234283.288706] Model parameter optimization (eps = 0.100000)

[07:40:02] ML tree search #10, logLikelihood: -234282.700334

[07:40:02 -819143.797406] Initial branch length optimization
[07:40:06 -641529.020310] Model parameter optimization (eps = 10.000000)
[07:40:52 -638163.559511] AUTODETECT spr round 1 (radius: 5)
[07:42:12 -470011.548484] AUTODETECT spr round 2 (radius: 10)
[07:43:41 -353933.287301] AUTODETECT spr round 3 (radius: 15)
[07:45:16 -294663.984887] AUTODETECT spr round 4 (radius: 20)
[07:46:59 -272947.705378] AUTODETECT spr round 5 (radius: 25)
[07:49:07 -268249.966880] SPR radius for FAST iterations: 25 (autodetect)
[07:49:07 -268249.966880] Model parameter optimization (eps = 3.000000)
[07:49:45 -266579.235585] FAST spr round 1 (radius: 25)
[07:51:55 -234638.639765] FAST spr round 2 (radius: 25)
[07:53:33 -233179.860624] FAST spr round 3 (radius: 25)
[07:54:54 -233051.434334] FAST spr round 4 (radius: 25)
[07:56:06 -233029.162402] FAST spr round 5 (radius: 25)
[07:57:14 -233024.302569] FAST spr round 6 (radius: 25)
[07:58:19 -233023.273539] FAST spr round 7 (radius: 25)
[07:59:23 -233023.272853] Model parameter optimization (eps = 1.000000)
[07:59:36 -233015.304359] SLOW spr round 1 (radius: 5)
[08:01:05 -232968.958931] SLOW spr round 2 (radius: 5)
[08:02:35 -232947.112729] SLOW spr round 3 (radius: 5)
[08:04:01 -232945.302948] SLOW spr round 4 (radius: 5)
[08:05:26 -232945.302723] SLOW spr round 5 (radius: 10)
[08:06:58 -232944.334243] SLOW spr round 6 (radius: 5)
[08:08:43 -232944.327497] SLOW spr round 7 (radius: 10)
[08:10:29 -232944.327494] SLOW spr round 8 (radius: 15)
[08:13:02 -232941.220614] SLOW spr round 9 (radius: 5)
[08:14:52 -232941.218788] SLOW spr round 10 (radius: 10)
[08:16:44 -232941.218272] SLOW spr round 11 (radius: 15)
[08:19:15 -232941.218083] SLOW spr round 12 (radius: 20)
[08:22:38 -232941.218044] SLOW spr round 13 (radius: 25)
[08:26:13 -232941.218033] Model parameter optimization (eps = 0.100000)

[08:26:21] ML tree search #11, logLikelihood: -232941.082686

[08:26:21 -817324.013879] Initial branch length optimization
[08:26:24 -645245.599440] Model parameter optimization (eps = 10.000000)
[08:27:19 -641776.172102] AUTODETECT spr round 1 (radius: 5)
[08:28:35 -465239.216387] AUTODETECT spr round 2 (radius: 10)
[08:30:01 -365423.822232] AUTODETECT spr round 3 (radius: 15)
[08:31:35 -304800.875006] AUTODETECT spr round 4 (radius: 20)
[08:33:19 -273150.416473] AUTODETECT spr round 5 (radius: 25)
[08:35:15 -263528.199132] SPR radius for FAST iterations: 25 (autodetect)
[08:35:15 -263528.199132] Model parameter optimization (eps = 3.000000)
[08:35:59 -261806.609238] FAST spr round 1 (radius: 25)
[08:38:03 -234396.446242] FAST spr round 2 (radius: 25)
[08:39:39 -233107.793270] FAST spr round 3 (radius: 25)
[08:41:02 -233011.285482] FAST spr round 4 (radius: 25)
[08:42:15 -232993.838502] FAST spr round 5 (radius: 25)
[08:43:23 -232990.115599] FAST spr round 6 (radius: 25)
[08:44:24 -232990.115387] Model parameter optimization (eps = 1.000000)
[08:44:40 -232974.711826] SLOW spr round 1 (radius: 5)
[08:46:04 -232939.124197] SLOW spr round 2 (radius: 5)
[08:47:26 -232937.917182] SLOW spr round 3 (radius: 5)
[08:48:46 -232937.285484] SLOW spr round 4 (radius: 5)
[08:50:06 -232937.284734] SLOW spr round 5 (radius: 10)
[08:51:31 -232937.284690] SLOW spr round 6 (radius: 15)
[08:54:01 -232937.284686] SLOW spr round 7 (radius: 20)
[08:57:06 -232937.284684] SLOW spr round 8 (radius: 25)
[09:00:43 -232937.284683] Model parameter optimization (eps = 0.100000)

[09:00:54] ML tree search #12, logLikelihood: -232936.673421

[09:00:54 -829853.856465] Initial branch length optimization
[09:00:57 -646393.594965] Model parameter optimization (eps = 10.000000)
[09:01:55 -643038.683003] AUTODETECT spr round 1 (radius: 5)
[09:03:11 -476088.554658] AUTODETECT spr round 2 (radius: 10)
[09:04:36 -360339.855838] AUTODETECT spr round 3 (radius: 15)
[09:06:07 -292055.608034] AUTODETECT spr round 4 (radius: 20)
[09:07:45 -267939.869269] AUTODETECT spr round 5 (radius: 25)
[09:09:24 -261557.351838] SPR radius for FAST iterations: 25 (autodetect)
[09:09:24 -261557.351838] Model parameter optimization (eps = 3.000000)
[09:09:59 -259723.163798] FAST spr round 1 (radius: 25)
[09:11:55 -234443.653605] FAST spr round 2 (radius: 25)
[09:13:27 -233076.896983] FAST spr round 3 (radius: 25)
[09:14:47 -232977.898244] FAST spr round 4 (radius: 25)
[09:15:54 -232967.997586] FAST spr round 5 (radius: 25)
[09:16:58 -232963.125270] FAST spr round 6 (radius: 25)
[09:17:58 -232963.123498] Model parameter optimization (eps = 1.000000)
[09:18:09 -232956.679868] SLOW spr round 1 (radius: 5)
[09:19:38 -232913.479916] SLOW spr round 2 (radius: 5)
[09:20:57 -232912.946006] SLOW spr round 3 (radius: 5)
[09:22:17 -232912.944870] SLOW spr round 4 (radius: 10)
[09:23:45 -232901.526123] SLOW spr round 5 (radius: 5)
[09:25:23 -232901.340982] SLOW spr round 6 (radius: 5)
[09:26:51 -232901.337883] SLOW spr round 7 (radius: 10)
[09:28:21 -232900.327537] SLOW spr round 8 (radius: 5)
[09:29:59 -232900.323260] SLOW spr round 9 (radius: 10)
[09:31:37 -232900.322495] SLOW spr round 10 (radius: 15)
[09:33:57 -232900.322288] SLOW spr round 11 (radius: 20)
[09:37:04 -232900.322192] SLOW spr round 12 (radius: 25)
[09:40:38 -232900.322119] Model parameter optimization (eps = 0.100000)

[09:40:46] ML tree search #13, logLikelihood: -232900.242374

[09:40:46 -818144.904219] Initial branch length optimization
[09:40:49 -640415.421156] Model parameter optimization (eps = 10.000000)
[09:41:41 -637058.854378] AUTODETECT spr round 1 (radius: 5)
[09:42:56 -467519.049798] AUTODETECT spr round 2 (radius: 10)
[09:44:22 -346438.248245] AUTODETECT spr round 3 (radius: 15)
[09:45:52 -291871.519845] AUTODETECT spr round 4 (radius: 20)
[09:47:31 -269009.289033] AUTODETECT spr round 5 (radius: 25)
[09:49:17 -258654.964025] SPR radius for FAST iterations: 25 (autodetect)
[09:49:17 -258654.964025] Model parameter optimization (eps = 3.000000)
[09:49:54 -257157.851403] FAST spr round 1 (radius: 25)
[09:51:39 -233707.022111] FAST spr round 2 (radius: 25)
[09:53:03 -233135.508777] FAST spr round 3 (radius: 25)
[09:54:19 -233066.983759] FAST spr round 4 (radius: 25)
[09:55:27 -233061.380138] FAST spr round 5 (radius: 25)
[09:56:31 -233061.378919] Model parameter optimization (eps = 1.000000)
[09:56:43 -233050.785509] SLOW spr round 1 (radius: 5)
[09:58:06 -233010.778423] SLOW spr round 2 (radius: 5)
[09:59:30 -233006.282129] SLOW spr round 3 (radius: 5)
[10:00:56 -233003.948183] SLOW spr round 4 (radius: 5)
[10:02:21 -233003.826332] SLOW spr round 5 (radius: 5)
[10:03:43 -233003.826205] SLOW spr round 6 (radius: 10)
[10:05:12 -232996.092124] SLOW spr round 7 (radius: 5)
[10:06:56 -232994.125591] SLOW spr round 8 (radius: 5)
[10:08:26 -232994.125434] SLOW spr round 9 (radius: 10)
[10:10:02 -232994.125406] SLOW spr round 10 (radius: 15)
[10:12:37 -232994.125396] SLOW spr round 11 (radius: 20)
[10:15:56 -232994.125392] SLOW spr round 12 (radius: 25)
[10:19:48 -232994.125388] Model parameter optimization (eps = 0.100000)

[10:19:54] ML tree search #14, logLikelihood: -232994.098523

[10:19:54 -812386.056373] Initial branch length optimization
[10:19:57 -638387.418305] Model parameter optimization (eps = 10.000000)
[10:20:51 -634876.804479] AUTODETECT spr round 1 (radius: 5)
[10:22:11 -474103.673882] AUTODETECT spr round 2 (radius: 10)
[10:23:41 -357775.299686] AUTODETECT spr round 3 (radius: 15)
[10:25:17 -290339.673650] AUTODETECT spr round 4 (radius: 20)
[10:27:02 -267948.289135] AUTODETECT spr round 5 (radius: 25)
[10:29:06 -264858.287624] SPR radius for FAST iterations: 25 (autodetect)
[10:29:06 -264858.287624] Model parameter optimization (eps = 3.000000)
[10:29:43 -263287.431949] FAST spr round 1 (radius: 25)
[10:31:47 -235202.971902] FAST spr round 2 (radius: 25)
[10:33:26 -234139.684219] FAST spr round 3 (radius: 25)
[10:34:48 -234030.225791] FAST spr round 4 (radius: 25)
[10:35:59 -234026.156288] FAST spr round 5 (radius: 25)
[10:37:06 -234026.155653] Model parameter optimization (eps = 1.000000)
[10:37:23 -234012.970020] SLOW spr round 1 (radius: 5)
[10:38:59 -233979.019802] SLOW spr round 2 (radius: 5)
[10:40:27 -233975.437929] SLOW spr round 3 (radius: 5)
[10:41:54 -233975.437682] SLOW spr round 4 (radius: 10)
[10:43:26 -233975.224360] SLOW spr round 5 (radius: 5)
[10:45:12 -233975.224268] SLOW spr round 6 (radius: 10)
[10:46:54 -233975.224186] SLOW spr round 7 (radius: 15)
[10:49:13 -233975.224105] SLOW spr round 8 (radius: 20)
[10:52:15 -233975.224024] SLOW spr round 9 (radius: 25)
[10:55:39 -233975.223943] Model parameter optimization (eps = 0.100000)

[10:55:51] ML tree search #15, logLikelihood: -233974.604775

[10:55:51 -810976.444726] Initial branch length optimization
[10:55:54 -639758.050017] Model parameter optimization (eps = 10.000000)
[10:56:48 -636844.851010] AUTODETECT spr round 1 (radius: 5)
[10:58:04 -481053.321794] AUTODETECT spr round 2 (radius: 10)
[10:59:27 -377310.402559] AUTODETECT spr round 3 (radius: 15)
[11:00:57 -309203.739643] AUTODETECT spr round 4 (radius: 20)
[11:02:39 -272068.790852] AUTODETECT spr round 5 (radius: 25)
[11:04:31 -264190.271750] SPR radius for FAST iterations: 25 (autodetect)
[11:04:31 -264190.271750] Model parameter optimization (eps = 3.000000)
[11:05:05 -262739.926832] FAST spr round 1 (radius: 25)
[11:06:50 -234458.900681] FAST spr round 2 (radius: 25)
[11:08:10 -233021.473575] FAST spr round 3 (radius: 25)
[11:09:17 -232980.176080] FAST spr round 4 (radius: 25)
[11:10:23 -232978.323810] FAST spr round 5 (radius: 25)
[11:11:25 -232978.312164] Model parameter optimization (eps = 1.000000)
[11:11:40 -232963.193881] SLOW spr round 1 (radius: 5)
[11:13:02 -232931.703503] SLOW spr round 2 (radius: 5)
[11:14:23 -232928.682829] SLOW spr round 3 (radius: 5)
[11:15:43 -232922.308292] SLOW spr round 4 (radius: 5)
[11:17:04 -232917.791447] SLOW spr round 5 (radius: 5)
[11:18:22 -232917.748914] SLOW spr round 6 (radius: 10)
[11:19:46 -232917.748437] SLOW spr round 7 (radius: 15)
[11:22:15 -232913.191745] SLOW spr round 8 (radius: 5)
[11:23:56 -232911.850481] SLOW spr round 9 (radius: 5)
[11:25:24 -232911.850225] SLOW spr round 10 (radius: 10)
[11:26:55 -232908.992795] SLOW spr round 11 (radius: 5)
[11:28:30 -232908.992539] SLOW spr round 12 (radius: 10)
[11:30:06 -232908.992346] SLOW spr round 13 (radius: 15)
[11:32:25 -232908.992157] SLOW spr round 14 (radius: 20)
[11:35:30 -232908.991843] SLOW spr round 15 (radius: 25)
[11:39:02 -232908.991654] Model parameter optimization (eps = 0.100000)

[11:39:11] ML tree search #16, logLikelihood: -232908.712991

[11:39:11 -820674.361563] Initial branch length optimization
[11:39:14 -644633.428942] Model parameter optimization (eps = 10.000000)
[11:40:15 -641118.665987] AUTODETECT spr round 1 (radius: 5)
[11:41:30 -468822.482833] AUTODETECT spr round 2 (radius: 10)
[11:42:55 -348132.795861] AUTODETECT spr round 3 (radius: 15)
[11:44:23 -271103.506915] AUTODETECT spr round 4 (radius: 20)
[11:46:01 -257914.409766] AUTODETECT spr round 5 (radius: 25)
[11:47:50 -256328.837456] SPR radius for FAST iterations: 25 (autodetect)
[11:47:50 -256328.837456] Model parameter optimization (eps = 3.000000)
[11:48:21 -254634.498299] FAST spr round 1 (radius: 25)
[11:50:24 -234262.896481] FAST spr round 2 (radius: 25)
[11:51:56 -233633.235653] FAST spr round 3 (radius: 25)
[11:53:15 -233575.211103] FAST spr round 4 (radius: 25)
[11:54:21 -233573.000274] FAST spr round 5 (radius: 25)
[11:55:24 -233572.978154] Model parameter optimization (eps = 1.000000)
[11:55:36 -233568.370304] SLOW spr round 1 (radius: 5)
[11:57:03 -233517.024944] SLOW spr round 2 (radius: 5)
[11:58:26 -233511.266524] SLOW spr round 3 (radius: 5)
[11:59:48 -233509.313316] SLOW spr round 4 (radius: 5)
[12:01:08 -233509.313307] SLOW spr round 5 (radius: 10)
[12:02:37 -233505.789076] SLOW spr round 6 (radius: 5)
[12:04:17 -233499.404242] SLOW spr round 7 (radius: 5)
[12:05:46 -233499.403663] SLOW spr round 8 (radius: 10)
[12:07:20 -233495.296966] SLOW spr round 9 (radius: 5)
[12:09:01 -233490.241808] SLOW spr round 10 (radius: 5)
[12:10:33 -233488.292505] SLOW spr round 11 (radius: 5)
[12:11:57 -233488.292433] SLOW spr round 12 (radius: 10)
[12:13:32 -233487.402336] SLOW spr round 13 (radius: 5)
[12:15:19 -233487.400290] SLOW spr round 14 (radius: 10)
[12:17:06 -233487.399958] SLOW spr round 15 (radius: 15)
[12:19:37 -233487.399884] SLOW spr round 16 (radius: 20)
[12:22:53 -233487.399860] SLOW spr round 17 (radius: 25)
[12:26:23 -233487.399848] Model parameter optimization (eps = 0.100000)

[12:26:30] ML tree search #17, logLikelihood: -233487.256831

[12:26:30 -815118.759051] Initial branch length optimization
[12:26:33 -640535.240235] Model parameter optimization (eps = 10.000000)
[12:27:18 -637481.221004] AUTODETECT spr round 1 (radius: 5)
[12:28:33 -464184.194458] AUTODETECT spr round 2 (radius: 10)
[12:29:58 -367920.725667] AUTODETECT spr round 3 (radius: 15)
[12:31:29 -291875.648490] AUTODETECT spr round 4 (radius: 20)
[12:33:08 -270560.239978] AUTODETECT spr round 5 (radius: 25)
[12:34:58 -265511.872538] SPR radius for FAST iterations: 25 (autodetect)
[12:34:58 -265511.872538] Model parameter optimization (eps = 3.000000)
[12:35:32 -263924.024411] FAST spr round 1 (radius: 25)
[12:37:19 -236343.946271] FAST spr round 2 (radius: 25)
[12:38:45 -235277.416868] FAST spr round 3 (radius: 25)
[12:40:00 -235228.068105] FAST spr round 4 (radius: 25)
[12:41:08 -235210.498572] FAST spr round 5 (radius: 25)
[12:42:12 -235202.348442] FAST spr round 6 (radius: 25)
[12:43:14 -235202.098137] FAST spr round 7 (radius: 25)
[12:44:15 -235202.097861] Model parameter optimization (eps = 1.000000)
[12:44:28 -235195.021038] SLOW spr round 1 (radius: 5)
[12:45:51 -235164.824322] SLOW spr round 2 (radius: 5)
[12:47:15 -235142.852747] SLOW spr round 3 (radius: 5)
[12:48:38 -235139.650949] SLOW spr round 4 (radius: 5)
[12:50:00 -235138.197741] SLOW spr round 5 (radius: 5)
[12:51:22 -235138.197605] SLOW spr round 6 (radius: 10)
[12:52:48 -235138.197595] SLOW spr round 7 (radius: 15)
[12:55:15 -235135.054353] SLOW spr round 8 (radius: 5)
[12:56:59 -235135.004784] SLOW spr round 9 (radius: 10)
[12:58:41 -235135.002884] SLOW spr round 10 (radius: 15)
[13:00:58 -235135.002337] SLOW spr round 11 (radius: 20)
[13:03:58 -235134.722288] SLOW spr round 12 (radius: 5)
[13:05:44 -235134.721981] SLOW spr round 13 (radius: 10)
[13:07:32 -235134.721833] SLOW spr round 14 (radius: 15)
[13:09:48 -235134.721797] SLOW spr round 15 (radius: 20)
[13:12:48 -235134.721781] SLOW spr round 16 (radius: 25)
[13:16:13 -235134.721772] Model parameter optimization (eps = 0.100000)

[13:16:24] ML tree search #18, logLikelihood: -235134.506401

[13:16:24 -822831.525773] Initial branch length optimization
[13:16:28 -646219.277516] Model parameter optimization (eps = 10.000000)
[13:17:25 -642939.727525] AUTODETECT spr round 1 (radius: 5)
[13:18:41 -476130.253369] AUTODETECT spr round 2 (radius: 10)
[13:20:04 -372836.322614] AUTODETECT spr round 3 (radius: 15)
[13:21:36 -295273.024610] AUTODETECT spr round 4 (radius: 20)
[13:23:11 -269787.787644] AUTODETECT spr round 5 (radius: 25)
[13:24:58 -265915.829954] SPR radius for FAST iterations: 25 (autodetect)
[13:24:58 -265915.829954] Model parameter optimization (eps = 3.000000)
[13:25:36 -263968.611027] FAST spr round 1 (radius: 25)
[13:27:37 -234719.798134] FAST spr round 2 (radius: 25)
[13:29:09 -233099.186058] FAST spr round 3 (radius: 25)
[13:30:25 -232984.390141] FAST spr round 4 (radius: 25)
[13:31:30 -232977.477113] FAST spr round 5 (radius: 25)
[13:32:32 -232977.180660] FAST spr round 6 (radius: 25)
[13:33:33 -232977.177932] Model parameter optimization (eps = 1.000000)
[13:33:45 -232969.367085] SLOW spr round 1 (radius: 5)
[13:35:05 -232920.903924] SLOW spr round 2 (radius: 5)
[13:36:28 -232919.179904] SLOW spr round 3 (radius: 5)
[13:37:48 -232919.179519] SLOW spr round 4 (radius: 10)
[13:39:13 -232918.999839] SLOW spr round 5 (radius: 5)
[13:40:52 -232918.999728] SLOW spr round 6 (radius: 10)
[13:42:29 -232918.999638] SLOW spr round 7 (radius: 15)
[13:44:42 -232915.932168] SLOW spr round 8 (radius: 5)
[13:46:25 -232915.930243] SLOW spr round 9 (radius: 10)
[13:48:07 -232915.929638] SLOW spr round 10 (radius: 15)
[13:50:18 -232915.929479] SLOW spr round 11 (radius: 20)
[13:53:10 -232915.929434] SLOW spr round 12 (radius: 25)
[13:56:29 -232915.929417] Model parameter optimization (eps = 0.100000)

[13:56:34] ML tree search #19, logLikelihood: -232915.868009

[13:56:34 -818495.644269] Initial branch length optimization
[13:56:37 -649410.018301] Model parameter optimization (eps = 10.000000)
[13:57:32 -645743.094677] AUTODETECT spr round 1 (radius: 5)
[13:58:46 -472190.527765] AUTODETECT spr round 2 (radius: 10)
[14:00:10 -359524.435106] AUTODETECT spr round 3 (radius: 15)
[14:01:38 -309158.531914] AUTODETECT spr round 4 (radius: 20)
[14:03:26 -266068.650898] AUTODETECT spr round 5 (radius: 25)
[14:05:20 -262449.198832] SPR radius for FAST iterations: 25 (autodetect)
[14:05:20 -262449.198832] Model parameter optimization (eps = 3.000000)
[14:05:55 -260727.373423] FAST spr round 1 (radius: 25)
[14:07:50 -234069.195036] FAST spr round 2 (radius: 25)
[14:09:21 -233088.304572] FAST spr round 3 (radius: 25)
[14:10:38 -233010.729493] FAST spr round 4 (radius: 25)
[14:11:46 -232997.059912] FAST spr round 5 (radius: 25)
[14:12:49 -232992.915381] FAST spr round 6 (radius: 25)
[14:13:50 -232992.912257] Model parameter optimization (eps = 1.000000)
[14:14:07 -232977.465314] SLOW spr round 1 (radius: 5)
[14:15:32 -232932.238093] SLOW spr round 2 (radius: 5)
[14:16:54 -232925.573950] SLOW spr round 3 (radius: 5)
[14:18:17 -232921.528774] SLOW spr round 4 (radius: 5)
[14:19:37 -232920.846294] SLOW spr round 5 (radius: 5)
[14:20:56 -232920.846259] SLOW spr round 6 (radius: 10)
[14:22:20 -232920.846246] SLOW spr round 7 (radius: 15)
[14:24:50 -232920.846238] SLOW spr round 8 (radius: 20)
[14:27:51 -232920.846231] SLOW spr round 9 (radius: 25)
[14:31:20 -232920.846224] Model parameter optimization (eps = 0.100000)

[14:31:32] ML tree search #20, logLikelihood: -232920.543197


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.138808,0.842774) (0.076704,0.753226) (0.466970,0.735804) (0.317517,1.516901) 
   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: -232900.242374

AIC score: 468870.484747 / AICc score: 5184390.484747 / BIC score: 476484.618512
Free parameters (model + branch lengths): 1535

WARNING: Number of free parameters (K=1535) is larger than alignment size (n=1054).
         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/Q8N653/3_mltree/Q8N653.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/3_mltree/Q8N653.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/3_mltree/Q8N653.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N653/3_mltree/Q8N653.raxml.log

Analysis started: 15-Jul-2021 11:36:23 / finished: 16-Jul-2021 02:07:56

Elapsed time: 52292.853 seconds

Consumed energy: 4228.855 Wh (= 21 km in an electric car, or 106 km with an e-scooter!)