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garli 2.1-9
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Running GARLI-PART Version 2.0.1008 (17 Mar 2011)
->Single processor version<-

##############################################################
 This is GARLI 2.0, the first "official" release including 
          partitioned models.  It is a merging of
   official release 1.0 and beta version GARLI-PART 0.97
  Briefly, it includes models for nucleotides, amino acids,
 codons, and morphology-like characters, any of which can be 
  mixed together and applied to different subsets of data.

    General program usage is extensively documented here:
            http://www.nescent.org/wg_garli/
      see this page for details on partitioned usage:
  http://www.nescent.org/wg_garli/Partition_testing_version
   and this page for details on Mkv mophology model usage:
    http://www.nescent.org/wg_garli/Mkv_morphology_model
         PLEASE LET ME KNOW OF ANY PROBLEMS AT:
                garli.support@gmail.com
##############################################################
This version has undergone much testing, but is still a BETA VERSION.
   - Please check results carefully! -
Compiled Mar 21 2011 13:13:18 using Intel icc compiler version 9.10
Using NCL version 2.1.10

#######################################################
Reading config file garli.conf
###################################################
READING OF DATA
Attempting to read data file in Nexus format (using NCL):
	lewis2001.nex ...
Reading CHARACTERS block... found standard data... successful
Reading ASSUMPTIONS block... successful

###################################################
PARTITIONING OF DATA AND MODELS
GARLI data subset 1
	CHARACTERS block #1 ("Untitled CHARACTERS Block 1")
	Data read as Standard k-state data, variable only,
	modeled as Standard k-state data, variable only
	Subset of data with 2 states:
	  chars 46-51 53 55-58 60 63 65-70 84 87-89 91-95 97-101 103 104 106 107 113 115
	Summary of data:
	  30 sequences.
	  0 constant characters.
	  39 parsimony-informative characters.
	  0 uninformative variable characters.
	  39 total characters.
	  39 unique patterns in compressed data matrix.
	Pattern processing required < 1 second

	Part ambig. char's of taxon Chelonus_sp. converted to full ambiguity:
	  char  90 
	Part ambig. char's of taxon Alysia_lucicola converted to full ambiguity:
	  char  90 
	Subset of data with 3 states:
	  chars 54 61 62 64 71 72 83 90-102 \ 6
	Summary of data:
	  30 sequences.
	  0 constant characters.
	  10 parsimony-informative characters.
	  0 uninformative variable characters.
	  10 total characters.
	  10 unique patterns in compressed data matrix.
	Pattern processing required < 1 second

	Subset of data with 4 states:
	  chars 52 59 73
	Summary of data:
	  30 sequences.
	  0 constant characters.
	  0 parsimony-informative characters.
	  3 uninformative variable characters.
	  3 total characters.
	  3 unique patterns in compressed data matrix.
	Pattern processing required < 1 second

NOTE: No characters found with 5 observed states.
NOTE: No characters found with 6 observed states.

###################################################
NOTE: Unlike many programs, the amount of system memory that Garli will
use can be controlled by the user.
(This comes from the availablememory setting in the configuration file.
Availablememory should NOT be set to more than the actual amount of 
physical memory that your computer has installed)

For this dataset:
 Mem level		availablememory setting
  great			    >= 1 MB
  good			approx 0 MB to 1 MB
  low			approx 0 MB to 1 MB
  very low		approx 0 MB to 1 MB
the minimum required availablememory is 1 MB

You specified that Garli should use at most 512.0 MB of memory.

Garli will actually use approx. 0.6 MB of memory
**Your memory level is: great (you don't need to change anything)**

#######################################################
STARTING RUN

>>>Search rep 1 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Starting with seed=113156

creating random starting tree...
NOTE: Model contains no mutable parameters!
Setting model mutation weight to zero.

Initial ln Likelihood: -1296.0557
optimizing: starting branch lengths...
pass 1:+  364.588 (branch= 364.59 scale=  0.00)
pass 2:+   66.578 (branch=  63.37 scale=  3.21)
pass 3:+   24.948 (branch=  23.25 scale=  1.69)
pass 4:+    1.187 (branch=   0.53 scale=  0.66)
pass 5:+    1.040 (branch=   1.04 scale=  0.00)
pass 6:+    0.000 (branch=   0.00 scale=  0.00)
lnL after optimization: -837.7145
gen      current_lnL    precision  last_tree_imp  
0        -837.7145        0.500           0 
100      -592.1303        0.500          95 
200      -550.9261        0.500         198 
300      -502.7223        0.500         293 
400      -496.2153        0.500         379 
500      -482.5724        0.500         480 
600      -480.2205        0.500         599 
700      -479.5176        0.500         599 
800      -479.0438        0.500         706 
900      -478.6735        0.500         706 
1000     -478.3272        0.500         706 
1100     -477.8447        0.500        1006 
1200     -476.5510        0.500        1153 
1300     -476.0617        0.500        1153 
1400     -475.8286        0.500        1153 
1500     -475.5767        0.500        1153 
1600     -475.4253        0.500        1153 
1700     -475.2730        0.500        1153 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.002 lnL
1800     -475.1729        0.451        1153 
1900     -475.1232        0.451        1153 
2000     -474.7475        0.451        1914 
2100     -474.6530        0.451        1914 
2200     -474.3547        0.451        2182 
2300     -474.2897        0.451        2182 
2400     -474.1635        0.451        2182 
2500     -474.1124        0.451        2182 
2600     -474.0612        0.451        2182 
2700     -473.9885        0.451        2182 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
2800     -473.9058        0.402        2744 
2900     -473.7521        0.402        2846 
3000     -473.7250        0.402        2846 
3100     -473.6863        0.402        2846 
3200     -473.6766        0.402        2846 
3300     -473.6522        0.402        2846 
3400     -473.6455        0.402        2846 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3500     -473.6274        0.353        2846 
3600     -473.5061        0.353        3576 
3700     -473.4862        0.353        3576 
3800     -473.4791        0.353        3576 
3900     -473.4632        0.353        3576 
4000     -473.4431        0.353        3576 
4100     -473.4328        0.353        3576 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4200     -473.4217        0.304        3576 
4300     -473.4091        0.304        3576 
4400     -473.3964        0.304        3576 
4500     -473.3896        0.304        3576 
4600     -473.3704        0.304        4588 
4700     -473.3686        0.304        4588 
4800     -473.3595        0.304        4588 
4900     -473.3544        0.304        4588 
5000     -473.3466        0.304        4588 
5100     -473.3397        0.304        4588 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5200     -473.3341        0.255        4588 
5300     -473.3251        0.255        4588 
5400     -473.3183        0.255        4588 
5500     -473.2540        0.255        5457 
5600     -473.1386        0.255        5457 
5700     -473.0787        0.255        5457 
5800     -473.0601        0.255        5457 
5900     -473.0481        0.255        5457 
6000     -472.9455        0.255        5996 
6100     -472.9401        0.255        5996 
6200     -472.9357        0.255        5996 
6300     -472.9343        0.255        5996 
6400     -472.9339        0.255        5996 
6500     -472.9274        0.255        5996 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
6600     -472.9270        0.206        5996 
6700     -472.9227        0.206        5996 
6800     -472.9208        0.206        5996 
6900     -472.9158        0.206        5996 
7000     -472.9152        0.206        5996 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
7100     -472.9117        0.157        5996 
7200     -472.8881        0.157        7137 
7300     -472.8873        0.157        7137 
7400     -472.8860        0.157        7137 
7500     -472.8830        0.157        7137 
7600     -472.8824        0.157        7137 
7700     -472.8805        0.157        7137 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.168 lnL
7800     -472.6943        0.108        7137 
7900     -472.6573        0.108        7137 
8000     -472.6449        0.108        7137 
8100     -472.6326        0.108        7137 
8200     -472.6290        0.108        7137 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
8300     -472.6197        0.059        7137 
8400     -472.5536        0.059        8357 
8500     -472.5409        0.059        8357 
8600     -472.5364        0.059        8357 
8700     -472.5310        0.059        8357 
8800     -472.5256        0.059        8357 
8900     -472.5249        0.059        8357 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.066 lnL
9000     -472.4570        0.010        8357 
9100     -472.4491        0.010        8357 
9200     -472.4424        0.010        8357 
9300     -472.4399        0.010        8357 
9400     -472.4338        0.010        8357 
9500     -472.4322        0.010        8357 
9600     -472.4291        0.010        8357 
9700     -472.4275        0.010        8357 
9800     -472.4256        0.010        8357 
9900     -472.4229        0.010        8357 
10000    -472.4203        0.010        8357 
10100    -472.4203        0.010        8357 
10200    -472.4200        0.010        8357 
10300    -472.4200        0.010        8357 
10400    -472.4197        0.010        8357 
10500    -472.4191        0.010        8357 
10600    -472.4179        0.010        8357 
10700    -472.4176        0.010        8357 
10800    -472.4172        0.010        8357 
10900    -472.4136        0.010        8357 
11000    -472.4115        0.010        8357 
11100    -472.4102        0.010        8357 
11200    -472.4099        0.010        8357 
11300    -472.4096        0.010        8357 
11400    -472.4092        0.010        8357 
11500    -472.4087        0.010        8357 
11600    -472.4086        0.010        8357 
11700    -472.4082        0.010        8357 
11800    -472.4080        0.010        8357 
11900    -472.4078        0.010        8357 
12000    -472.4075        0.010        8357 
12100    -472.4074        0.010        8357 
12200    -472.4073        0.010        8357 
12300    -472.4068        0.010        8357 
12400    -472.4066        0.010        8357 
12500    -472.4065        0.010        8357 
12600    -472.4064        0.010        8357 
12700    -472.4060        0.010        8357 
12800    -472.4059        0.010        8357 
12900    -472.4058        0.010        8357 
13000    -472.4057        0.010        8357 
13100    -472.4056        0.010        8357 
13200    -472.4056        0.010        8357 
13300    -472.4056        0.010        8357 
13400    -472.4055        0.010        8357 
13500    -472.4054        0.010        8357 
13600    -472.4054        0.010        8357 
13700    -472.4054        0.010        8357 
13800    -472.4053        0.010        8357 
13900    -472.4052        0.010        8357 
14000    -472.4052        0.010        8357 
14100    -472.4048        0.010        8357 
14200    -472.4048        0.010        8357 
14300    -472.4047        0.010        8357 
14400    -472.4045        0.010        8357 
14500    -472.4045        0.010        8357 
14600    -472.4045        0.010        8357 
14700    -472.4045        0.010        8357 
14800    -472.4045        0.010        8357 
14900    -472.4045        0.010        8357 
15000    -472.4044        0.010        8357 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
15100    -472.4042        0.010        8357 
15200    -472.4042        0.010        8357 
15300    -472.4041        0.010        8357 
15400    -472.4041        0.010        8357 
15500    -472.4039        0.010        8357 
15600    -472.4039        0.010        8357 
15700    -472.4036        0.010        8357 
15800    -472.4036        0.010        8357 
15900    -472.4034        0.010        8357 
16000    -472.4034        0.010        8357 
16100    -472.4032        0.010        8357 
16200    -472.4031        0.010        8357 
16300    -472.4031        0.010        8357 
16400    -472.4031        0.010        8357 
16500    -472.4030        0.010        8357 
16600    -472.4028        0.010        8357 
16700    -472.4028        0.010        8357 
16800    -472.4027        0.010        8357 
16900    -472.4027        0.010        8357 
17000    -472.4026        0.010        8357 
17100    -472.4026        0.010        8357 
17200    -472.4025        0.010        8357 
17300    -472.4025        0.010        8357 
17400    -472.4024        0.010        8357 
17500    -472.4022        0.010        8357 
17600    -472.4022        0.010        8357 
17700    -472.4022        0.010        8357 
17800    -472.4021        0.010        8357 
17900    -472.4020        0.010        8357 
18000    -472.4020        0.010        8357 
18100    -472.4020        0.010        8357 
18200    -472.4020        0.010        8357 
18300    -472.4019        0.010        8357 
18400    -472.4018        0.010        8357 
18500    -472.4018        0.010        8357 
18600    -472.4017        0.010        8357 
18700    -472.4015        0.010        8357 
18800    -472.4014        0.010        8357 
18900    -472.4014        0.010        8357 
19000    -472.4014        0.010        8357 
Reached termination condition!
last topological improvement at gen 8357
Improvement over last 500 gen = 0.00042
Current score = -472.4014
Performing final optimizations...
pass 1 : -472.4014   (branch= 0.0000)
pass 2 : -472.4014   (branch= 0.0000)
pass 3 : -472.3948   (branch= 0.0066)
pass 4 : -472.3919   (branch= 0.0029)
pass 5 : -472.3915   (branch= 0.0004)
pass 6 : -472.3915   (branch= 0.0000)
pass 7 : -472.3915   (branch= 0.0000)
pass 8 : -472.3912   (branch= 0.0003)
pass 9 : -472.3910   (branch= 0.0002)
pass 10: -472.3909   (branch= 0.0001)
pass 11: -472.3908   (branch= 0.0000)
pass 12: -472.3908   (branch= 0.0000)
pass 13: -472.3908   (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3908
Time used so far = 0 hours, 0 minutes and 50 seconds

MODEL REPORT - Parameter values are FINAL
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
    8 branches were collapsed.

>>>Completed Search rep 1 (of 5)<<<

>>>Search rep 2 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Starting with seed=44926809

creating random starting tree...
Initial ln Likelihood: -1318.0450
optimizing: starting branch lengths...
pass 1:+  430.059 (branch= 430.06 scale=  0.00)
pass 2:+   43.968 (branch=  37.57 scale=  6.40)
pass 3:+   15.540 (branch=  12.62 scale=  2.92)
pass 4:+   13.620 (branch=  10.43 scale=  3.19)
pass 5:+    2.101 (branch=   1.37 scale=  0.73)
pass 6:+    0.440 (branch=   0.44 scale=  0.00)
lnL after optimization: -812.3165
gen      current_lnL    precision  last_tree_imp  
0        -812.3165        0.500           0 
100      -631.8927        0.500          95 
200      -515.5765        0.500         183 
300      -513.6662        0.500         281 
400      -495.7026        0.500         389 
500      -489.8560        0.500         486 
600      -487.9821        0.500         540 
700      -487.2379        0.500         695 
800      -477.6723        0.500         794 
900      -477.1914        0.500         832 
1000     -476.5205        0.500         982 
1100     -475.5301        0.500        1044 
1200     -475.2139        0.500        1044 
1300     -474.8837        0.500        1044 
1400     -474.6604        0.500        1044 
1500     -474.3814        0.500        1044 
1600     -474.1658        0.500        1044 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.079 lnL
1700     -473.9456        0.451        1044 
1800     -473.8144        0.451        1044 
1900     -473.6242        0.451        1883 
2000     -473.2478        0.451        1883 
2100     -473.1190        0.451        1883 
2200     -473.0786        0.451        1883 
2300     -473.0143        0.451        1883 
2400     -472.9732        0.451        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
2500     -472.9234        0.402        1883 
2600     -472.8918        0.402        1883 
2700     -472.8750        0.402        1883 
2800     -472.8232        0.402        1883 
2900     -472.8046        0.402        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3000     -472.7937        0.353        1883 
3100     -472.7611        0.353        1883 
3200     -472.7356        0.353        1883 
3300     -472.7169        0.353        1883 
3400     -472.7028        0.353        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3500     -472.6782        0.304        1883 
3600     -472.6583        0.304        1883 
3700     -472.6535        0.304        1883 
3800     -472.6366        0.304        1883 
3900     -472.6268        0.304        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4000     -472.6163        0.255        1883 
4100     -472.5964        0.255        1883 
4200     -472.5787        0.255        1883 
4300     -472.5698        0.255        1883 
4400     -472.5472        0.255        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4500     -472.5449        0.206        1883 
4600     -472.5388        0.206        1883 
4700     -472.5311        0.206        1883 
4800     -472.5289        0.206        1883 
4900     -472.5262        0.206        1883 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5000     -472.5023        0.157        4939 
5100     -472.4963        0.157        4939 
5200     -472.4951        0.157        4939 
5300     -472.4922        0.157        4939 
5400     -472.4812        0.157        4939 
5500     -472.4718        0.157        4939 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5600     -472.4685        0.108        4939 
5700     -472.4673        0.108        4939 
5800     -472.4662        0.108        4939 
5900     -472.4640        0.108        4939 
6000     -472.4630        0.108        4939 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
6100     -472.4625        0.059        4939 
6200     -472.4612        0.059        4939 
6300     -472.4563        0.059        4939 
6400     -472.4541        0.059        4939 
6500     -472.4538        0.059        4939 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.038 lnL
6600     -472.4158        0.010        4939 
6700     -472.4158        0.010        4939 
6800     -472.4154        0.010        4939 
6900     -472.4151        0.010        4939 
7000     -472.4147        0.010        4939 
7100     -472.4139        0.010        4939 
7200     -472.4137        0.010        4939 
7300     -472.4130        0.010        4939 
7400     -472.4130        0.010        4939 
7500     -472.4106        0.010        4939 
7600     -472.4105        0.010        4939 
7700     -472.4103        0.010        4939 
7800     -472.4101        0.010        4939 
7900     -472.4098        0.010        4939 
8000     -472.4094        0.010        4939 
8100     -472.4093        0.010        4939 
8200     -472.4093        0.010        4939 
8300     -472.4090        0.010        4939 
8400     -472.4089        0.010        4939 
8500     -472.4087        0.010        4939 
8600     -472.4086        0.010        4939 
8700     -472.4085        0.010        4939 
8800     -472.4084        0.010        4939 
8900     -472.4083        0.010        4939 
9000     -472.4081        0.010        4939 
9100     -472.4080        0.010        4939 
9200     -472.4080        0.010        4939 
9300     -472.4078        0.010        4939 
9400     -472.4076        0.010        4939 
9500     -472.4072        0.010        4939 
9600     -472.4071        0.010        4939 
9700     -472.4067        0.010        4939 
9800     -472.4067        0.010        4939 
9900     -472.4067        0.010        4939 
10000    -472.4066        0.010        4939 
10100    -472.4063        0.010        4939 
10200    -472.4061        0.010        4939 
10300    -472.4060        0.010        4939 
10400    -472.4060        0.010        4939 
10500    -472.4060        0.010        4939 
10600    -472.4058        0.010        4939 
10700    -472.4058        0.010        4939 
10800    -472.4056        0.010        4939 
10900    -472.4055        0.010        4939 
11000    -472.4054        0.010        4939 
11100    -472.4052        0.010        4939 
11200    -472.4052        0.010        4939 
11300    -472.4052        0.010        4939 
11400    -472.4051        0.010        4939 
11500    -472.4050        0.010        4939 
11600    -472.4050        0.010        4939 
11700    -472.4050        0.010        4939 
11800    -472.4050        0.010        4939 
11900    -472.4046        0.010        4939 
12000    -472.4045        0.010        4939 
12100    -472.4045        0.010        4939 
12200    -472.4044        0.010        4939 
12300    -472.4044        0.010        4939 
12400    -472.4043        0.010        4939 
12500    -472.4040        0.010        4939 
12600    -472.4040        0.010        4939 
12700    -472.4040        0.010        4939 
12800    -472.4038        0.010        4939 
12900    -472.4038        0.010        4939 
13000    -472.4037        0.010        4939 
13100    -472.4035        0.010        4939 
13200    -472.4033        0.010        4939 
13300    -472.4033        0.010        4939 
13400    -472.4032        0.010        4939 
13500    -472.4031        0.010        4939 
13600    -472.4031        0.010        4939 
13700    -472.4029        0.010        4939 
13800    -472.4029        0.010        4939 
13900    -472.4029        0.010        4939 
14000    -472.4028        0.010        4939 
14100    -472.4026        0.010        4939 
14200    -472.4024        0.010        4939 
14300    -472.4024        0.010        4939 
14400    -472.4024        0.010        4939 
14500    -472.4023        0.010        4939 
14600    -472.4023        0.010        4939 
14700    -472.4023        0.010        4939 
14800    -472.4023        0.010        4939 
14900    -472.4021        0.010        4939 
15000    -472.4020        0.010        4939 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
15100    -472.4020        0.010        4939 
15200    -472.4020        0.010        4939 
15300    -472.4020        0.010        4939 
15400    -472.4020        0.010        4939 
15500    -472.4019        0.010        4939 
15600    -472.4019        0.010        4939 
15700    -472.4019        0.010        4939 
15800    -472.4019        0.010        4939 
15900    -472.4017        0.010        4939 
16000    -472.4017        0.010        4939 
16100    -472.4016        0.010        4939 
16200    -472.4015        0.010        4939 
16300    -472.4013        0.010        4939 
16400    -472.4013        0.010        4939 
16500    -472.4012        0.010        4939 
16600    -472.4012        0.010        4939 
Reached termination condition!
last topological improvement at gen 4939
Improvement over last 500 gen = 0.00046
Current score = -472.4012
Performing final optimizations...
pass 1 : -472.4012   (branch= 0.0000)
pass 2 : -472.4012   (branch= 0.0000)
pass 3 : -472.3949   (branch= 0.0063)
pass 4 : -472.3918   (branch= 0.0031)
pass 5 : -472.3913   (branch= 0.0005)
pass 6 : -472.3912   (branch= 0.0002)
pass 7 : -472.3911   (branch= 0.0001)
pass 8 : -472.3910   (branch= 0.0001)
pass 9 : -472.3908   (branch= 0.0002)
pass 10: -472.3907   (branch= 0.0001)
pass 11: -472.3906   (branch= 0.0000)
pass 12: -472.3906   (branch= 0.0000)
pass 13: -472.3906   (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3906
Time used so far = 0 hours, 1 minutes and 34 seconds

MODEL REPORT - Parameter values are FINAL
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
    7 branches were collapsed.

>>>Completed Search rep 2 (of 5)<<<

>>>Search rep 3 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Starting with seed=1129809455

creating random starting tree...
Initial ln Likelihood: -1345.1873
optimizing: starting branch lengths...
pass 1:+  462.206 (branch= 460.91 scale=  1.29)
pass 2:+   46.315 (branch=  41.48 scale=  4.84)
pass 3:+    8.901 (branch=   7.46 scale=  1.45)
pass 4:+    0.399 (branch=   0.40 scale=  0.00)
lnL after optimization: -827.3663
gen      current_lnL    precision  last_tree_imp  
0        -827.3663        0.500           0 
100      -554.0794        0.500          97 
200      -519.0429        0.500         200 
300      -495.8588        0.500         299 
400      -491.6494        0.500         383 
500      -489.6575        0.500         486 
600      -485.5977        0.500         553 
700      -484.4369        0.500         665 
800      -483.6662        0.500         791 
900      -483.1040        0.500         791 
1000     -482.5508        0.500         947 
1100     -481.4178        0.500        1088 
1200     -479.8625        0.500        1193 
1300     -478.7363        0.500        1277 
1400     -477.3675        0.500        1379 
1500     -476.5981        0.500        1469 
1600     -476.2200        0.500        1469 
1700     -475.8149        0.500        1469 
1800     -475.6773        0.500        1469 
1900     -475.5862        0.500        1892 
2000     -475.0435        0.500        1953 
2100     -474.6464        0.500        2047 
2200     -474.5245        0.500        2047 
2300     -474.2834        0.500        2047 
2400     -474.1793        0.500        2047 
2500     -474.0827        0.500        2047 
2600     -474.0282        0.500        2047 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.003 lnL
2700     -473.8768        0.451        2047 
2800     -473.8100        0.451        2047 
2900     -473.7925        0.451        2047 
3000     -473.7515        0.451        2963 
3100     -473.6539        0.451        2963 
3200     -473.6069        0.451        2963 
3300     -473.5546        0.451        2963 
3400     -473.4800        0.451        2963 
3500     -473.4100        0.451        2963 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.017 lnL
3600     -473.3227        0.402        2963 
3700     -473.2814        0.402        2963 
3800     -473.2520        0.402        2963 
3900     -473.2171        0.402        2963 
4000     -473.1817        0.402        2963 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4100     -473.1732        0.353        2963 
4200     -473.1482        0.353        2963 
4300     -473.1308        0.353        2963 
4400     -473.1219        0.353        2963 
4500     -473.1118        0.353        2963 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4600     -473.1050        0.304        2963 
4700     -473.1015        0.304        2963 
4800     -473.0905        0.304        2963 
4900     -473.0630        0.304        4831 
5000     -473.0574        0.304        4831 
5100     -473.0441        0.304        4831 
5200     -473.0302        0.304        4831 
5300     -473.0260        0.304        4831 
5400     -473.0225        0.304        4831 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5500     -473.0122        0.255        4831 
5600     -473.0074        0.255        4831 
5700     -473.0044        0.255        4831 
5800     -472.9855        0.255        5743 
5900     -472.9802        0.255        5743 
6000     -472.9770        0.255        5743 
6100     -472.9697        0.255        5743 
6200     -472.9691        0.255        5743 
6300     -472.9684        0.255        5743 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
6400     -472.9103        0.206        6363 
6500     -472.7831        0.206        6363 
6600     -472.7122        0.206        6363 
6700     -472.6699        0.206        6363 
6800     -472.6517        0.206        6363 
6900     -472.6270        0.206        6363 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
7000     -472.6085        0.157        6363 
7100     -472.6020        0.157        6363 
7200     -472.5927        0.157        6363 
7300     -472.5865        0.157        6363 
7400     -472.5660        0.157        6363 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.017 lnL
7500     -472.5448        0.108        6363 
7600     -472.5350        0.108        6363 
7700     -472.5283        0.108        6363 
7800     -472.5265        0.108        6363 
7900     -472.5211        0.108        6363 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
8000     -472.4754        0.059        7923 
8100     -472.4617        0.059        7923 
8200     -472.4586        0.059        7923 
8300     -472.4552        0.059        7923 
8400     -472.4521        0.059        7923 
8500     -472.4492        0.059        7923 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.017 lnL
8600     -472.4288        0.010        7923 
8700     -472.4266        0.010        7923 
8800     -472.4230        0.010        7923 
8900     -472.4226        0.010        7923 
9000     -472.4214        0.010        7923 
9100     -472.4198        0.010        7923 
9200     -472.4185        0.010        7923 
9300     -472.4181        0.010        7923 
9400     -472.4177        0.010        7923 
9500     -472.4175        0.010        7923 
9600     -472.4173        0.010        7923 
9700     -472.4160        0.010        7923 
9800     -472.4160        0.010        7923 
9900     -472.4160        0.010        7923 
10000    -472.4155        0.010        7923 
10100    -472.4152        0.010        7923 
10200    -472.4148        0.010        7923 
10300    -472.4145        0.010        7923 
10400    -472.4140        0.010        7923 
10500    -472.4138        0.010        7923 
10600    -472.4138        0.010        7923 
10700    -472.4137        0.010        7923 
10800    -472.4132        0.010        7923 
10900    -472.4130        0.010        7923 
11000    -472.4125        0.010        7923 
11100    -472.4124        0.010        7923 
11200    -472.4123        0.010        7923 
11300    -472.4121        0.010        7923 
11400    -472.4121        0.010        7923 
11500    -472.4118        0.010        7923 
11600    -472.4115        0.010        7923 
11700    -472.4114        0.010        7923 
11800    -472.4114        0.010        7923 
11900    -472.4114        0.010        7923 
12000    -472.4112        0.010        7923 
12100    -472.4108        0.010        7923 
12200    -472.4106        0.010        7923 
12300    -472.4106        0.010        7923 
12400    -472.4102        0.010        7923 
12500    -472.4102        0.010        7923 
12600    -472.4101        0.010        7923 
12700    -472.4100        0.010        7923 
12800    -472.4100        0.010        7923 
12900    -472.4100        0.010        7923 
13000    -472.4099        0.010        7923 
13100    -472.4096        0.010        7923 
13200    -472.4094        0.010        7923 
13300    -472.4094        0.010        7923 
13400    -472.4092        0.010        7923 
13500    -472.4091        0.010        7923 
13600    -472.4088        0.010        7923 
13700    -472.4086        0.010        7923 
13800    -472.4086        0.010        7923 
13900    -472.4084        0.010        7923 
14000    -472.4084        0.010        7923 
14100    -472.4083        0.010        7923 
14200    -472.4081        0.010        7923 
14300    -472.4081        0.010        7923 
14400    -472.4076        0.010        7923 
14500    -472.4075        0.010        7923 
14600    -472.4074        0.010        7923 
14700    -472.4073        0.010        7923 
14800    -472.4073        0.010        7923 
14900    -472.4073        0.010        7923 
15000    -472.4072        0.010        7923 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
15100    -472.4072        0.010        7923 
15200    -472.4070        0.010        7923 
15300    -472.4070        0.010        7923 
15400    -472.4069        0.010        7923 
15500    -472.4067        0.010        7923 
15600    -472.4066        0.010        7923 
15700    -472.4066        0.010        7923 
15800    -472.4065        0.010        7923 
15900    -472.4064        0.010        7923 
16000    -472.4064        0.010        7923 
16100    -472.4063        0.010        7923 
16200    -472.4063        0.010        7923 
16300    -472.4063        0.010        7923 
16400    -472.4062        0.010        7923 
16500    -472.4061        0.010        7923 
16600    -472.4061        0.010        7923 
16700    -472.4061        0.010        7923 
16800    -472.4061        0.010        7923 
16900    -472.4061        0.010        7923 
17000    -472.4060        0.010        7923 
17100    -472.4058        0.010        7923 
17200    -472.4058        0.010        7923 
17300    -472.4058        0.010        7923 
17400    -472.4058        0.010        7923 
17500    -472.4057        0.010        7923 
17600    -472.4057        0.010        7923 
17700    -472.4055        0.010        7923 
17800    -472.4055        0.010        7923 
17900    -472.4052        0.010        7923 
18000    -472.4048        0.010        7923 
18100    -472.4048        0.010        7923 
18200    -472.4048        0.010        7923 
18300    -472.4047        0.010        7923 
18400    -472.4047        0.010        7923 
18500    -472.4046        0.010        7923 
18600    -472.4046        0.010        7923 
Reached termination condition!
last topological improvement at gen 7923
Improvement over last 500 gen = 0.00024
Current score = -472.4046
Performing final optimizations...
pass 1 : -472.4046   (branch= 0.0000)
pass 2 : -472.4046   (branch= 0.0000)
pass 3 : -472.3930   (branch= 0.0116)
pass 4 : -472.3918   (branch= 0.0012)
pass 5 : -472.3912   (branch= 0.0006)
pass 6 : -472.3912   (branch= 0.0000)
pass 7 : -472.3910   (branch= 0.0002)
pass 8 : -472.3909   (branch= 0.0001)
pass 9 : -472.3908   (branch= 0.0001)
pass 10: -472.3907   (branch= 0.0001)
pass 11: -472.3906   (branch= 0.0001)
pass 12: -472.3906   (branch= 0.0000)
pass 13: -472.3906   (branch= 0.0000)
pass 14: -472.3906   (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3906
Time used so far = 0 hours, 2 minutes and 22 seconds

MODEL REPORT - Parameter values are FINAL
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
    7 branches were collapsed.

>>>Completed Search rep 3 (of 5)<<<

>>>Search rep 4 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Starting with seed=1786917786

creating random starting tree...
Initial ln Likelihood: -1259.6816
optimizing: starting branch lengths...
pass 1:+  411.545 (branch= 410.14 scale=  1.40)
pass 2:+   34.424 (branch=  31.96 scale=  2.47)
pass 3:+    4.884 (branch=   4.25 scale=  0.63)
pass 4:+    1.721 (branch=   1.72 scale=  0.00)
pass 5:+    0.047 (branch=   0.05 scale=  0.00)
lnL after optimization: -807.0589
gen      current_lnL    precision  last_tree_imp  
0        -807.0589        0.500           0 
100      -601.5939        0.500         100 
200      -526.3617        0.500         196 
300      -512.4135        0.500         278 
400      -483.5238        0.500         390 
500      -481.4931        0.500         471 
600      -481.0061        0.500         471 
700      -480.0821        0.500         683 
800      -477.5502        0.500         729 
900      -477.1062        0.500         729 
1000     -476.7058        0.500         729 
1100     -476.2214        0.500         729 
1200     -475.8903        0.500         729 
1300     -475.6326        0.500        1292 
1400     -475.4871        0.500        1292 
1500     -475.3881        0.500        1292 
1600     -475.1881        0.500        1598 
1700     -474.9285        0.500        1598 
1800     -474.7453        0.500        1598 
1900     -474.6094        0.500        1887 
2000     -474.5233        0.500        1887 
2100     -474.4728        0.500        2088 
2200     -474.4253        0.500        2088 
2300     -474.3405        0.500        2088 
2400     -474.2962        0.500        2088 
2500     -474.2187        0.500        2088 
2600     -474.1912        0.500        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.001 lnL
2700     -474.1788        0.451        2088 
2800     -474.1712        0.451        2088 
2900     -474.1538        0.451        2088 
3000     -474.1458        0.451        2088 
3100     -474.1336        0.451        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.001 lnL
3200     -474.1318        0.402        2088 
3300     -474.1252        0.402        2088 
3400     -474.1154        0.402        2088 
3500     -474.1050        0.402        2088 
3600     -474.0923        0.402        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3700     -474.0853        0.353        2088 
3800     -474.0781        0.353        2088 
3900     -474.0710        0.353        2088 
4000     -474.0676        0.353        2088 
4100     -474.0557        0.353        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4200     -474.0534        0.304        2088 
4300     -474.0477        0.304        2088 
4400     -474.0391        0.304        2088 
4500     -474.0353        0.304        2088 
4600     -474.0334        0.304        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4700     -474.0283        0.255        2088 
4800     -474.0282        0.255        2088 
4900     -474.0262        0.255        2088 
5000     -474.0228        0.255        2088 
5100     -474.0183        0.255        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5200     -474.0155        0.206        2088 
5300     -474.0118        0.206        2088 
5400     -474.0089        0.206        2088 
5500     -474.0077        0.206        2088 
5600     -474.0053        0.206        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5700     -474.0043        0.157        2088 
5800     -474.0024        0.157        2088 
5900     -474.0009        0.157        2088 
6000     -474.0001        0.157        2088 
6100     -473.9987        0.157        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
6200     -473.9969        0.108        2088 
6300     -473.9937        0.108        2088 
6400     -473.9927        0.108        2088 
6500     -473.9916        0.108        2088 
6600     -473.9905        0.108        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
6700     -473.9882        0.059        2088 
6800     -473.9871        0.059        2088 
6900     -473.9863        0.059        2088 
7000     -473.9859        0.059        2088 
7100     -473.9843        0.059        2088 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.042 lnL
7200     -473.9424        0.010        2088 
7300     -473.9419        0.010        2088 
7400     -473.9416        0.010        2088 
7500     -473.9414        0.010        2088 
7600     -473.9411        0.010        2088 
7700     -473.9398        0.010        2088 
7800     -473.9393        0.010        2088 
7900     -473.9384        0.010        2088 
8000     -473.9377        0.010        2088 
8100     -473.9376        0.010        2088 
8200     -473.9352        0.010        2088 
8300     -473.9337        0.010        2088 
8400     -473.9331        0.010        2088 
8500     -473.9321        0.010        2088 
8600     -473.9303        0.010        2088 
8700     -473.8109        0.010        8647 
8800     -473.7338        0.010        8717 
8900     -473.6620        0.010        8717 
9000     -473.6447        0.010        8717 
9100     -473.6360        0.010        8717 
9200     -473.6289        0.010        8717 
9300     -473.6274        0.010        8717 
9400     -473.6244        0.010        8717 
9500     -473.6190        0.010        8717 
9600     -473.6187        0.010        8717 
9700     -473.6164        0.010        8717 
9800     -473.6158        0.010        8717 
9900     -473.6154        0.010        8717 
10000    -473.6148        0.010        8717 
10100    -473.6148        0.010        8717 
10200    -473.6146        0.010        8717 
10300    -473.6141        0.010        8717 
10400    -473.6141        0.010        8717 
10500    -473.6139        0.010        8717 
10600    -473.6138        0.010        8717 
10700    -473.6136        0.010        8717 
10800    -473.6134        0.010        8717 
10900    -473.6134        0.010        8717 
11000    -473.6132        0.010        8717 
11100    -473.6132        0.010        8717 
11200    -473.6130        0.010        8717 
11300    -473.6129        0.010        8717 
11400    -473.6129        0.010        8717 
11500    -473.6128        0.010        8717 
11600    -473.6128        0.010        8717 
11700    -473.6126        0.010        8717 
11800    -473.6124        0.010        8717 
11900    -473.6124        0.010        8717 
12000    -473.6122        0.010        8717 
12100    -473.6122        0.010        8717 
12200    -473.6122        0.010        8717 
12300    -473.6122        0.010        8717 
12400    -473.6121        0.010        8717 
12500    -473.6120        0.010        8717 
12600    -473.6119        0.010        8717 
12700    -473.6119        0.010        8717 
12800    -473.6119        0.010        8717 
12900    -473.6118        0.010        8717 
13000    -473.6118        0.010        8717 
13100    -473.6118        0.010        8717 
13200    -473.6117        0.010        8717 
13300    -473.6116        0.010        8717 
13400    -473.6116        0.010        8717 
13500    -473.6115        0.010        8717 
13600    -473.6113        0.010        8717 
13700    -473.6113        0.010        8717 
13800    -473.6113        0.010        8717 
13900    -473.6112        0.010        8717 
14000    -473.6112        0.010        8717 
14100    -473.6112        0.010        8717 
14200    -473.6112        0.010        8717 
14300    -473.6109        0.010        8717 
14400    -473.6108        0.010        8717 
14500    -473.6107        0.010        8717 
14600    -473.6106        0.010        8717 
14700    -473.6106        0.010        8717 
14800    -473.6106        0.010        8717 
14900    -473.6105        0.010        8717 
15000    -473.6105        0.010        8717 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
15100    -473.6104        0.010        8717 
15200    -473.6104        0.010        8717 
15300    -473.6101        0.010        8717 
15400    -473.6101        0.010        8717 
15500    -473.6100        0.010        8717 
15600    -473.6100        0.010        8717 
15700    -473.6099        0.010        8717 
15800    -473.6098        0.010        8717 
15900    -473.6098        0.010        8717 
16000    -473.6098        0.010        8717 
16100    -473.6098        0.010        8717 
16200    -473.6098        0.010        8717 
16300    -473.6097        0.010        8717 
16400    -473.6097        0.010        8717 
16500    -473.6097        0.010        8717 
16600    -473.6096        0.010        8717 
16700    -473.6096        0.010        8717 
16800    -473.6095        0.010        8717 
16900    -473.6094        0.010        8717 
17000    -473.6093        0.010        8717 
17100    -473.6093        0.010        8717 
17200    -473.6092        0.010        8717 
17300    -473.6091        0.010        8717 
17400    -473.6091        0.010        8717 
17500    -473.6090        0.010        8717 
17600    -473.6089        0.010        8717 
17700    -473.6089        0.010        8717 
17800    -473.6089        0.010        8717 
17900    -473.6088        0.010        8717 
18000    -473.6088        0.010        8717 
18100    -473.6088        0.010        8717 
18200    -473.6087        0.010        8717 
18300    -473.6087        0.010        8717 
18400    -473.6086        0.010        8717 
18500    -473.6086        0.010        8717 
18600    -473.6084        0.010        8717 
18700    -473.6084        0.010        8717 
18800    -473.6084        0.010        8717 
Reached termination condition!
last topological improvement at gen 8717
Improvement over last 500 gen = 0.00033
Current score = -473.6084
Performing final optimizations...
pass 1 : -473.6084   (branch= 0.0000)
pass 2 : -473.6084   (branch= 0.0000)
pass 3 : -473.5997   (branch= 0.0087)
pass 4 : -473.5967   (branch= 0.0030)
pass 5 : -473.5967   (branch= 0.0000)
pass 6 : -473.5967   (branch= 0.0000)
pass 7 : -473.5967   (branch= 0.0000)
pass 8 : -473.5966   (branch= 0.0001)
pass 9 : -473.5966   (branch= 0.0001)
pass 10: -473.5964   (branch= 0.0001)
pass 11: -473.5964   (branch= 0.0001)
pass 12: -473.5964   (branch= 0.0000)
Looking for minimum length branches...
Final score = -473.5964
Time used so far = 0 hours, 3 minutes and 11 seconds

MODEL REPORT - Parameter values are FINAL
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
    7 branches were collapsed.

>>>Completed Search rep 4 (of 5)<<<

>>>Search rep 5 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Starting with seed=1429655032

creating random starting tree...
Initial ln Likelihood: -1219.3334
optimizing: starting branch lengths...
pass 1:+  350.904 (branch= 350.90 scale=  0.00)
pass 2:+   56.702 (branch=  53.13 scale=  3.58)
pass 3:+   20.452 (branch=  17.31 scale=  3.14)
pass 4:+    3.274 (branch=   2.54 scale=  0.73)
pass 5:+    2.093 (branch=   1.31 scale=  0.78)
pass 6:+    1.698 (branch=   1.70 scale=  0.00)
pass 7:+    0.095 (branch=   0.09 scale=  0.00)
lnL after optimization: -784.1160
gen      current_lnL    precision  last_tree_imp  
0        -784.1160        0.500           0 
100      -593.8019        0.500         100 
200      -533.4957        0.500         192 
300      -516.5071        0.500         287 
400      -508.1399        0.500         397 
500      -489.8206        0.500         499 
600      -483.5815        0.500         564 
700      -480.9720        0.500         670 
800      -480.2684        0.500         773 
900      -479.5095        0.500         773 
1000     -479.1002        0.500         773 
1100     -478.7379        0.500         773 
1200     -478.3594        0.500         773 
1300     -477.9320        0.500         773 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.244 lnL
1400     -477.3303        0.451         773 
1500     -476.9782        0.451        1469 
1600     -476.6121        0.451        1469 
1700     -476.4869        0.451        1469 
1800     -476.4165        0.451        1469 
1900     -476.2181        0.451        1469 
2000     -476.1044        0.451        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.001 lnL
2100     -475.8182        0.402        1469 
2200     -475.6823        0.402        1469 
2300     -475.5295        0.402        1469 
2400     -475.4160        0.402        1469 
2500     -475.3457        0.402        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.002 lnL
2600     -475.3139        0.353        1469 
2700     -475.2752        0.353        1469 
2800     -475.2199        0.353        1469 
2900     -475.1825        0.353        1469 
3000     -475.1627        0.353        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3100     -475.1412        0.304        1469 
3200     -475.1168        0.304        1469 
3300     -475.0961        0.304        1469 
3400     -475.0782        0.304        1469 
3500     -475.0663        0.304        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
3600     -475.0616        0.255        1469 
3700     -474.8098        0.255        1469 
3800     -474.7550        0.255        1469 
3900     -474.7510        0.255        1469 
4000     -474.7427        0.255        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4100     -474.7305        0.206        1469 
4200     -474.7217        0.206        1469 
4300     -474.7104        0.206        1469 
4400     -474.7037        0.206        1469 
4500     -474.7028        0.206        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
4600     -474.7019        0.157        1469 
4700     -474.6963        0.157        1469 
4800     -474.6919        0.157        1469 
4900     -474.6899        0.157        1469 
5000     -474.6870        0.157        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5100     -474.6848        0.108        1469 
5200     -474.6823        0.108        1469 
5300     -474.6807        0.108        1469 
5400     -474.6786        0.108        1469 
5500     -474.6774        0.108        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
5600     -474.6750        0.059        1469 
5700     -474.6731        0.059        1469 
5800     -474.6718        0.059        1469 
5900     -474.6693        0.059        1469 
6000     -474.6675        0.059        1469 
Optimization precision reduced 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.043 lnL
6100     -474.6238        0.010        1469 
6200     -474.6194        0.010        1469 
6300     -474.6183        0.010        1469 
6400     -474.6182        0.010        1469 
6500     -474.6179        0.010        1469 
6600     -474.6176        0.010        1469 
6700     -474.6174        0.010        1469 
6800     -474.6173        0.010        1469 
6900     -474.6170        0.010        1469 
7000     -474.6139        0.010        1469 
7100     -474.6139        0.010        1469 
7200     -474.6136        0.010        1469 
7300     -474.6131        0.010        1469 
7400     -474.6126        0.010        1469 
7500     -474.6123        0.010        1469 
7600     -474.6120        0.010        1469 
7700     -474.6117        0.010        1469 
7800     -474.6116        0.010        1469 
7900     -474.6115        0.010        1469 
8000     -474.6113        0.010        1469 
8100     -474.6108        0.010        1469 
8200     -474.6105        0.010        1469 
8300     -474.6100        0.010        1469 
8400     -474.6099        0.010        1469 
8500     -474.6092        0.010        1469 
8600     -474.6088        0.010        1469 
8700     -474.6088        0.010        1469 
8800     -474.6086        0.010        1469 
8900     -474.6084        0.010        1469 
9000     -474.6081        0.010        1469 
9100     -474.6079        0.010        1469 
9200     -474.6076        0.010        1469 
9300     -474.6076        0.010        1469 
9400     -474.6076        0.010        1469 
9500     -474.6072        0.010        1469 
9600     -474.6070        0.010        1469 
9700     -474.6067        0.010        1469 
9800     -474.6067        0.010        1469 
9900     -474.6065        0.010        1469 
10000    -474.6064        0.010        1469 
10100    -474.6064        0.010        1469 
10200    -474.6062        0.010        1469 
10300    -474.6062        0.010        1469 
10400    -474.6062        0.010        1469 
10500    -474.6062        0.010        1469 
10600    -474.6061        0.010        1469 
10700    -474.6061        0.010        1469 
10800    -474.6061        0.010        1469 
10900    -474.6060        0.010        1469 
11000    -474.6060        0.010        1469 
11100    -474.6060        0.010        1469 
11200    -474.6060        0.010        1469 
11300    -474.6060        0.010        1469 
11400    -474.6059        0.010        1469 
11500    -474.6058        0.010        1469 
11600    -474.6057        0.010        1469 
11700    -474.6057        0.010        1469 
11800    -474.6057        0.010        1469 
11900    -474.6057        0.010        1469 
12000    -474.6056        0.010        1469 
12100    -474.6056        0.010        1469 
12200    -474.6056        0.010        1469 
12300    -474.6055        0.010        1469 
12400    -474.6055        0.010        1469 
12500    -474.6055        0.010        1469 
12600    -474.6055        0.010        1469 
12700    -474.6055        0.010        1469 
12800    -474.6054        0.010        1469 
12900    -474.6054        0.010        1469 
13000    -474.6052        0.010        1469 
13100    -474.6050        0.010        1469 
13200    -474.6050        0.010        1469 
13300    -474.6049        0.010        1469 
13400    -474.6048        0.010        1469 
13500    -474.6048        0.010        1469 
13600    -474.6046        0.010        1469 
13700    -474.6042        0.010        1469 
13800    -474.6040        0.010        1469 
13900    -474.6040        0.010        1469 
14000    -474.6039        0.010        1469 
14100    -474.6039        0.010        1469 
14200    -474.6039        0.010        1469 
14300    -474.6038        0.010        1469 
14400    -474.6035        0.010        1469 
14500    -474.6034        0.010        1469 
14600    -474.6033        0.010        1469 
14700    -474.6032        0.010        1469 
14800    -474.6030        0.010        1469 
14900    -474.6030        0.010        1469 
15000    -474.6028        0.010        1469 
   Optimizing parameters...    improved    0.000 lnL
   Optimizing branchlengths... improved    0.000 lnL
15100    -474.6028        0.010        1469 
15200    -474.6028        0.010        1469 
15300    -474.6027        0.010        1469 
15400    -474.6027        0.010        1469 
15500    -474.6027        0.010        1469 
15600    -474.6026        0.010        1469 
15700    -474.6025        0.010        1469 
15800    -474.6024        0.010        1469 
15900    -474.6024        0.010        1469 
16000    -474.6023        0.010        1469 
16100    -474.6022        0.010        1469 
Reached termination condition!
last topological improvement at gen 1469
Improvement over last 500 gen = 0.00041
Current score = -474.6022
Performing final optimizations...
pass 1 : -474.6022   (branch= 0.0000)
pass 2 : -474.5995   (branch= 0.0027)
pass 3 : -474.5871   (branch= 0.0124)
pass 4 : -474.5871   (branch= 0.0000)
pass 5 : -474.5868   (branch= 0.0003)
pass 6 : -474.5866   (branch= 0.0001)
pass 7 : -474.5864   (branch= 0.0002)
pass 8 : -474.5862   (branch= 0.0002)
pass 9 : -474.5861   (branch= 0.0002)
pass 10: -474.5860   (branch= 0.0000)
pass 11: -474.5860   (branch= 0.0000)
pass 12: -474.5860   (branch= 0.0000)
pass 13: -474.5860   (branch= 0.0000)
Looking for minimum length branches...
Final score = -474.5860
Time used = 0 hours, 3 minutes and 54 seconds

MODEL REPORT - Parameter values are FINAL
Model 1
  Number of states = 2 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.50, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 2
  Number of states = 3 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.33, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

Model 3
  Number of states = 4 (standard data)
  Character change matrix:
    One rate (symmetric one rate Mkv model)
  Equilibrium State Frequencies: equal (0.25, fixed)
  Rate Heterogeneity Model:
    no rate heterogeneity

NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
    7 branches were collapsed.

>>>Completed Search rep 5 (of 5)<<<

#######################################################

Completed 5 replicate search(es) (of 5).

NOTE: Unless the following output indicates that search replicates found the
	same topology, you should assume that they found different topologies.
Results:
Replicate 1 : -472.3908       
Replicate 2 : -472.3906       
Replicate 3 : -472.3906 (best) (same topology as 2)
Replicate 4 : -473.5964       
Replicate 5 : -474.5860       

Parameter estimates across search replicates:

Partition model subset 1:
	 Model contains no estimated parameters

Partition model subset 2:
	 Model contains no estimated parameters

Partition model subset 3:
	 Model contains no estimated parameters

Treelengths:
          TL 
rep 1:  3.623
rep 2:  3.622
rep 3:  3.621
rep 4:  3.807
rep 5:  3.572

Saving final trees from all search reps to mkv.best.all.tre

Saving final tree from best search rep (#3) to mkv.best.tre
#######################################################