ctb/README.md

## README.md

      
    Raw
  

              README.md
            
          
    foo!

  
## multi-R.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Commands\n",
    "\n",
    "```\n",
    "for R in 1 2 3 4 5 6 7 8 9 10\n",
    "do\n",
    "        DIR=podar.r${R}\n",
    "        python -m spacegraphcats.catlas $DIR $R\n",
    "        python -m search.make_catlas_minhashes -k 31 --scaled=5000 $DIR\n",
    "done\n",
    "\n",
    "for i in r1 r2 r3 r4 r5 r6 r7 r8 r9 r10;\n",
    "do\n",
    "    echo doing $i\n",
    "    python -m search.frontier_search_batch podar.$i ~/*.fa.sig --purgatory -o ${i}.csv\n",
    "done\n",
    "```\n",
    "\n",
    "(on branch `fix/search_ksize`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r1.csv   r2.csv   r4.csv   r6.csv   r8.csv\r\n",
      "r10.csv  r3.csv   r5.csv   r7.csv   r9.csv\r\n"
     ]
    }
   ],
   "source": [
    "ls *.csv\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "name_to_idx = {}\n",
    "idx_to_name = {}\n",
    "\n",
    "def load_csv(filename):\n",
    "    with open(filename) as fp:\n",
    "        r = csv.reader(fp)\n",
    "        for row in r:\n",
    "            name, sim, cont, oh = row\n",
    "            idx = name_to_idx.get(name, len(name_to_idx))\n",
    "            name_to_idx[name] = idx\n",
    "            idx_to_name[idx] = name\n",
    "            yield idx, float(sim), float(cont), float(oh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def is_decreasing(v):\n",
    "    last = 0.\n",
    "    for k in v:\n",
    "        if k < last:\n",
    "            return True\n",
    "        last = k\n",
    "    return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_genomes = {}\n",
    "radiuses = {}\n",
    "\n",
    "for radius in range(1, 11):\n",
    "    r = 'r{}.csv'.format(radius)\n",
    "    \n",
    "    for idx, sim, cont, oh in load_csv(r):\n",
    "        # track by genome\n",
    "        xx = all_genomes.get(idx, [])\n",
    "        xx.append(oh)\n",
    "        all_genomes[idx] = xx\n",
    "        \n",
    "        # track overhead by radius\n",
    "        radiuses[radius] = radiuses.get(radius, []) + [oh]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1069ea518>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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i8pqIvFRztDhHg8Fg+AlTUpJCUdFqunW75UhYS4a+NkRgYHciI68iK8vLmoRb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7Eoshfd3v3EX3ItTUtewzdyGMXFMHeeE/VlF9BKJenmNJZf9SX1lfXs2LmDnTt2smPnDtxuN0MG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\nEyJ4J/cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10699f2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in sorted(all_genomes):\n",
    "    pyplot.plot(range(len(all_genomes[i])), all_genomes[i], '.-')\n",
    "    \n",
    "pyplot.xlabel('radius of catlas')\n",
    "pyplot.ylabel('overhead of frontier')\n",
    "pyplot.title('overhead against radius, for 64 genomes (podar)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overhead for /mnt/home/ctb/0.fa.sig some times decreases as r increases\n",
      "['0.0074', '0.0074', '0.0147', '0.0074', '0.0074', '0.0074', '0.0147', '0.0147', '0.0147', '0.0182']\n",
      "overhead for /mnt/home/ctb/10.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0075', '0.0075', '0.0000', '0.0075', '0.0075', '0.0075', '0.0075', '0.0075', '0.0075']\n",
      "overhead for /mnt/home/ctb/11.fa.sig some times decreases as r increases\n",
      "['0.0081', '0.0081', '0.0081', '0.0081', '0.0081', '0.0081', '0.0081', '0.0081', '0.0240', '0.0081']\n",
      "overhead for /mnt/home/ctb/14.fa.sig some times decreases as r increases\n",
      "['0.0049', '0.0049', '0.0145', '0.0097', '0.0097', '0.0145', '0.0097', '0.0145', '0.0239', '0.0286']\n",
      "overhead for /mnt/home/ctb/15.fa.sig some times decreases as r increases\n",
      "['0.0096', '0.0000', '0.0096', '0.0096', '0.0096', '0.0096', '0.0096', '0.0096', '0.0096', '0.0096']\n",
      "overhead for /mnt/home/ctb/16.fa.sig some times decreases as r increases\n",
      "['0.0106', '0.0158', '0.0158', '0.0106', '0.0158', '0.0158', '0.0158', '0.0158', '0.0158', '0.0209']\n",
      "overhead for /mnt/home/ctb/1.fa.sig some times decreases as r increases\n",
      "['0.0189', '0.0189', '0.0189', '0.0189', '0.0189', '0.0280', '0.0280', '0.0280', '0.0189', '0.0280']\n",
      "overhead for /mnt/home/ctb/21.fa.sig some times decreases as r increases\n",
      "['0.0093', '0.0093', '0.0093', '0.0093', '0.0093', '0.0124', '0.0124', '0.0124', '0.0154', '0.0124']\n",
      "overhead for /mnt/home/ctb/22.fa.sig some times decreases as r increases\n",
      "['0.0090', '0.0090', '0.0135', '0.0179', '0.0179', '0.0179', '0.0179', '0.0179', '0.0222', '0.0179']\n",
      "overhead for /mnt/home/ctb/23.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0049', '0.0049', '0.0097', '0.0097', '0.0097', '0.0097', '0.0284', '0.0191']\n",
      "overhead for /mnt/home/ctb/25.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0106', '0.0106', '0.0106', '0.0106', '0.0106', '0.0106', '0.0000', '0.0000']\n",
      "overhead for /mnt/home/ctb/27.fa.sig some times decreases as r increases\n",
      "['0.0035', '0.0035', '0.0035', '0.0035', '0.0035', '0.0035', '0.0035', '0.0071', '0.0106', '0.0071']\n",
      "overhead for /mnt/home/ctb/28.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0109', '0.0109', '0.0109', '0.0215', '0.0215', '0.0215', '0.0109', '0.0109']\n",
      "overhead for /mnt/home/ctb/29.fa.sig some times decreases as r increases\n",
      "['0.0217', '0.0217', '0.0110', '0.0110', '0.0217', '0.0217', '0.0217', '0.0217', '0.0217', '0.0217']\n",
      "overhead for /mnt/home/ctb/32.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '0.0045', '0.0089', '0.0089', '0.0089', '0.0045']\n",
      "overhead for /mnt/home/ctb/33.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '0.0263', '0.0513', '0.0263']\n",
      "overhead for /mnt/home/ctb/35.fa.sig some times decreases as r increases\n",
      "['0.0043', '0.0086', '0.0170', '0.0170', '0.0170', '0.0128', '0.0170', '0.0170', '0.0170', '0.0170']\n",
      "overhead for /mnt/home/ctb/39.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0088', '0.0088', '0.0088', '0.0261', '0.0175', '0.0261', '0.0261', '0.0261', '0.0261']\n",
      "overhead for /mnt/home/ctb/44.fa.sig some times decreases as r increases\n",
      "['0.0062', '0.0000', '0.0093', '0.0093', '0.0093', '0.0093', '0.0123', '0.0214', '0.0332', '0.0244']\n",
      "overhead for /mnt/home/ctb/45.fa.sig some times decreases as r increases\n",
      "['0.0027', '0.0027', '0.0027', '0.0080', '0.0080', '0.0054', '0.0107', '0.0080', '0.0107', '0.0133']\n",
      "overhead for /mnt/home/ctb/46.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0000', '0.0030', '0.0030', '0.0030', '0.0030', '0.0030', '0.0060', '0.0030']\n",
      "overhead for /mnt/home/ctb/47.fa.sig some times decreases as r increases\n",
      "['0.0027', '0.0027', '0.0109', '0.0136', '0.0136', '0.0136', '0.0136', '0.0109', '0.0109', '0.0109']\n",
      "overhead for /mnt/home/ctb/49.fa.sig some times decreases as r increases\n",
      "['0.0169', '0.0169', '0.0085', '0.0169', '0.0169', '0.0169', '0.0169', '0.0169', '0.0169', '0.0169']\n",
      "overhead for /mnt/home/ctb/51.fa.sig some times decreases as r increases\n",
      "['0.0061', '0.0061', '0.0061', '0.0061', '0.0122', '0.0122', '0.0122', '0.0122', '0.0122', '0.0061']\n",
      "overhead for /mnt/home/ctb/52.fa.sig some times decreases as r increases\n",
      "['0.0189', '0.0189', '0.0189', '0.0189', '0.0250', '0.0250', '0.0311', '0.0370', '0.0370', '0.0311']\n",
      "overhead for /mnt/home/ctb/53.fa.sig some times decreases as r increases\n",
      "['0.0117', '0.0117', '0.0174', '0.0174', '0.0117', '0.0117', '0.0117', '0.0117', '0.0174', '0.0231']\n",
      "overhead for /mnt/home/ctb/55.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0111', '0.0111', '0.0111', '0.0220', '0.0220', '0.0111', '0.0111', '0.0220', '0.0220']\n",
      "overhead for /mnt/home/ctb/56.fa.sig some times decreases as r increases\n",
      "['0.0067', '0.0000', '0.0133', '0.0067', '0.0067', '0.0067', '0.0067', '0.0067', '0.0133', '0.0133']\n",
      "overhead for /mnt/home/ctb/58.fa.sig some times decreases as r increases\n",
      "['0.0068', '0.0068', '0.0068', '0.0136', '0.0136', '0.0136', '0.0136', '0.0068', '0.0523', '0.0584']\n",
      "overhead for /mnt/home/ctb/59.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0036', '0.0036', '0.0036', '0.0106', '0.0141', '0.0141', '0.0175', '0.0141']\n",
      "overhead for /mnt/home/ctb/60.fa.sig some times decreases as r increases\n",
      "['0.0033', '0.0033', '0.0065', '0.0065', '0.0097', '0.0129', '0.0097', '0.0129', '0.0161', '0.0161']\n",
      "overhead for /mnt/home/ctb/63.fa.sig some times decreases as r increases\n",
      "['0.0025', '0.0025', '0.0025', '0.0050', '0.0050', '0.0074', '0.0099', '0.0099', '0.0074', '0.0099']\n",
      "overhead for /mnt/home/ctb/7.fa.sig some times decreases as r increases\n",
      "['0.0013', '0.0013', '0.0052', '0.0039', '0.0039', '0.0066', '0.0079', '0.0079', '0.0117', '0.0143']\n",
      "overhead for /mnt/home/ctb/8.fa.sig some times decreases as r increases\n",
      "['0.0000', '0.0000', '0.0000', '0.0081', '0.0160', '0.0160', '0.0081', '0.0160', '0.0315', '0.0465']\n"
     ]
    }
   ],
   "source": [
    "for i in all_genomes:\n",
    "    if is_decreasing(all_genomes[i]):\n",
    "        print('overhead for {} some times decreases as r increases'.format(idx_to_name[i]))\n",
    "        print([ '{:.4f}'.format(f) for f in all_genomes[i]])\n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "radius overhead\n",
      "1 0.004508062593230725\n",
      "2 0.005106016995551554\n",
      "3 0.006915159754792589\n",
      "4 0.007172659366368358\n",
      "5 0.00832796257722122\n",
      "6 0.00910729416940035\n",
      "7 0.009493321503418424\n",
      "8 0.01098859924664329\n",
      "9 0.014100937267902118\n",
      "10 0.016869330162252328\n"
     ]
    }
   ],
   "source": [
    "print('radius overhead')\n",
    "for r in radiuses:\n",
    "    total = sum(radiuses[r])\n",
    "    avg = total / len(radiuses[r])\n",
    "    print(r, avg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

## r1.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
            0.6241299303944315
            0.007380073800738007

            
              /mnt/home/ctb/10.fa.sig
              0.4523809523809524
              0.4523809523809524
              0.0

            
              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
              0.40397350993377484
              0.008130081300813009

            
              /mnt/home/ctb/12.fa.sig
              0.64
              0.64
              0.0

            
              /mnt/home/ctb/13.fa.sig
              0.47465437788018433
              0.47465437788018433
              0.0

            
              /mnt/home/ctb/14.fa.sig
              0.390057361376673
              0.3893129770992366
              0.004878048780487805

            
              /mnt/home/ctb/15.fa.sig
              0.2761394101876676
              0.27540106951871657
              0.009615384615384616

            
              /mnt/home/ctb/16.fa.sig
              0.5598802395209581
              0.5565476190476191
              0.010582010582010581

            
              /mnt/home/ctb/17.fa.sig
              0.33053221288515405
              0.329608938547486
              0.008403361344537815

            
              /mnt/home/ctb/18.fa.sig
              0.4494949494949495
              0.4494949494949495
              0.0

            
              /mnt/home/ctb/19.fa.sig
              0.2182410423452769
              0.2182410423452769
              0.0

            
              /mnt/home/ctb/1.fa.sig
              0.7375886524822695
              0.7272727272727273
              0.018867924528301886

            
              /mnt/home/ctb/20.fa.sig
              0.03333333333333333
              0.03333333333333333
              0.0

            
              /mnt/home/ctb/21.fa.sig
              0.7088888888888889
              0.7041942604856513
              0.009316770186335404

            
              /mnt/home/ctb/22.fa.sig
              0.6077348066298343
              0.6043956043956044
              0.009009009009009009

            
              /mnt/home/ctb/23.fa.sig
              0.5481283422459893
              0.5481283422459893
              0.0

            
              /mnt/home/ctb/24.fa.sig
              0.34192439862542956
              0.34192439862542956
              0.0

            
              /mnt/home/ctb/25.fa.sig
              0.6038961038961039
              0.6038961038961039
              0.0

            
              /mnt/home/ctb/26.fa.sig
              0.3007518796992481
              0.3007518796992481
              0.0

            
              /mnt/home/ctb/27.fa.sig
              0.558648111332008
              0.5575396825396826
              0.0035460992907801418

            
              /mnt/home/ctb/28.fa.sig
              0.5986842105263158
              0.5986842105263158
              0.0

            
              /mnt/home/ctb/29.fa.sig
              0.5454545454545454
              0.5389221556886228
              0.021739130434782608

            
              /mnt/home/ctb/2.fa.sig
              0.33941605839416056
              0.33941605839416056
              0.0

            
              /mnt/home/ctb/30.fa.sig
              0.5192307692307693
              0.5159235668789809
              0.012195121951219513

            
              /mnt/home/ctb/31.fa.sig
              0.6010928961748634
              0.6010928961748634
              0.0

            
              /mnt/home/ctb/32.fa.sig
              0.41965973534971646
              0.41965973534971646
              0.0

            
              /mnt/home/ctb/33.fa.sig
              0.925
              0.925
              0.0

            
              /mnt/home/ctb/34.fa.sig
              0.7357723577235772
              0.7327935222672065
              0.005494505494505495

            
              /mnt/home/ctb/35.fa.sig
              0.3338150289017341
              0.3333333333333333
              0.004310344827586207

            
              /mnt/home/ctb/36.fa.sig
              0.3737024221453287
              0.3737024221453287
              0.0

            
              /mnt/home/ctb/37.fa.sig
              0.37799043062200954
              0.37799043062200954
              0.0

            
              /mnt/home/ctb/38.fa.sig
              0.6262135922330098
              0.6231884057971014
              0.007692307692307693

            
              /mnt/home/ctb/39.fa.sig
              0.5436893203883495
              0.5436893203883495
              0.0

            
              /mnt/home/ctb/3.fa.sig
              0.6981132075471698
              0.6948356807511737
              0.006711409395973154

            
              /mnt/home/ctb/40.fa.sig
              0.5789473684210527
              0.5789473684210527
              0.0

            
              /mnt/home/ctb/41.fa.sig
              0.5494505494505495
              0.5494505494505495
              0.0

            
              /mnt/home/ctb/42.fa.sig
              0.7393939393939394
              0.7349397590361446
              0.008130081300813009

            
              /mnt/home/ctb/43.fa.sig
              0.7891654465592972
              0.7891654465592972
              0.0

            
              /mnt/home/ctb/44.fa.sig
              0.7424593967517401
              0.7390300230946882
              0.006211180124223602

            
              /mnt/home/ctb/45.fa.sig
              0.6468531468531469
              0.6457242582897034
              0.0026954177897574125

            
              /mnt/home/ctb/46.fa.sig
              0.6673387096774194
              0.6673387096774194
              0.0

            
              /mnt/home/ctb/47.fa.sig
              0.708171206225681
              0.7067961165048544
              0.0027397260273972603

            
              /mnt/home/ctb/48.fa.sig
              0.7301587301587301
              0.7225130890052356
              0.014285714285714285

            
              /mnt/home/ctb/49.fa.sig
              0.6338797814207651
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
              0.29821717990275526
              0.010752688172043012

            
              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
              0.3917525773195876
              0.0

            
              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
              0.8140703517587939
              0.006134969325153374

            
              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
              0.8297872340425532
              0.018867924528301886

            
              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
              0.9135135135135135
              0.011695906432748537

            
              /mnt/home/ctb/54.fa.sig
              0.46524064171123
              0.46524064171123
              0.0

            
              /mnt/home/ctb/55.fa.sig
              0.4810810810810811
              0.4810810810810811
              0.0

            
              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
              0.5016949152542373
              0.006711409395973154

            
              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
              0.3864734299516908
              0.0

            
              /mnt/home/ctb/58.fa.sig
              0.7004830917874396
              0.6971153846153846
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
              0.8115942028985508
              0.0

            
              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
              0.38223938223938225
              0.005025125628140704

            
              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
              0.782051282051282
              0.0032679738562091504

            
              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
              0.46886446886446886
              0.0

            
              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
              0.7214285714285714
              0.0

            
              /mnt/home/ctb/63.fa.sig
              0.730909090909091
              0.7295825771324864
              0.0024813895781637717

            
              /mnt/home/ctb/6.fa.sig
              0.697632058287796
              0.697632058287796
              0.0

            
              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
              0.8230184581976113
              0.0013175230566534915

            
              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              0.0

            
              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
              0.39666666666666667
              0.01652892561983471

## r10.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
            0.619815668202765
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              /mnt/home/ctb/10.fa.sig
              0.4523809523809524
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              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
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              /mnt/home/ctb/12.fa.sig
              0.64
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              /mnt/home/ctb/13.fa.sig
              0.47465437788018433
              0.47465437788018433
              0.0

            
              /mnt/home/ctb/14.fa.sig
              0.390057361376673
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              /mnt/home/ctb/15.fa.sig
              0.2761394101876676
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              /mnt/home/ctb/16.fa.sig
              0.5598802395209581
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
              0.7375886524822695
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              /mnt/home/ctb/20.fa.sig
              0.03333333333333333
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              /mnt/home/ctb/21.fa.sig
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              /mnt/home/ctb/22.fa.sig
              0.6077348066298343
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              /mnt/home/ctb/23.fa.sig
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              /mnt/home/ctb/24.fa.sig
              0.34192439862542956
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              /mnt/home/ctb/25.fa.sig
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              /mnt/home/ctb/26.fa.sig
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              /mnt/home/ctb/27.fa.sig
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              /mnt/home/ctb/28.fa.sig
              0.5986842105263158
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              /mnt/home/ctb/29.fa.sig
              0.5454545454545454
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              /mnt/home/ctb/2.fa.sig
              0.33941605839416056
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              /mnt/home/ctb/30.fa.sig
              0.5192307692307693
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              /mnt/home/ctb/31.fa.sig
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              /mnt/home/ctb/32.fa.sig
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
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              /mnt/home/ctb/35.fa.sig
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              /mnt/home/ctb/36.fa.sig
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              /mnt/home/ctb/37.fa.sig
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              /mnt/home/ctb/38.fa.sig
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              /mnt/home/ctb/39.fa.sig
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
              0.708171206225681
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              /mnt/home/ctb/48.fa.sig
              0.7301587301587301
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              /mnt/home/ctb/49.fa.sig
              0.6338797814207651
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
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              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
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              0.0

            
              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
              0.8140703517587939
              0.006134969325153374

            
              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
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              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
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              0.023121387283236993

            
              /mnt/home/ctb/54.fa.sig
              0.46524064171123
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              0.0

            
              /mnt/home/ctb/55.fa.sig
              0.4810810810810811
              0.47593582887700536
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              0.013333333333333334

            
              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
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              0.0

            
              /mnt/home/ctb/58.fa.sig
              0.7004830917874396
              0.6712962962962963
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
              0.7741116751269036
              0.016129032258064516

            
              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
              0.7256317689530686
              0.009852216748768473

            
              /mnt/home/ctb/6.fa.sig
              0.697632058287796
              0.6863799283154122
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
              0.8141783029001074
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
              0.4377224199288256
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
              0.3901639344262295
              0.05555555555555555

## r2.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
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              /mnt/home/ctb/10.fa.sig
              0.4523809523809524
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              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
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              /mnt/home/ctb/12.fa.sig
              0.64
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              /mnt/home/ctb/13.fa.sig
              0.47465437788018433
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              /mnt/home/ctb/14.fa.sig
              0.390057361376673
              0.3893129770992366
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              /mnt/home/ctb/15.fa.sig
              0.2761394101876676
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              0.0

            
              /mnt/home/ctb/16.fa.sig
              0.5598802395209581
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              /mnt/home/ctb/17.fa.sig
              0.33053221288515405
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              /mnt/home/ctb/18.fa.sig
              0.4494949494949495
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              /mnt/home/ctb/19.fa.sig
              0.2182410423452769
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              /mnt/home/ctb/1.fa.sig
              0.7375886524822695
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              /mnt/home/ctb/20.fa.sig
              0.03333333333333333
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              /mnt/home/ctb/21.fa.sig
              0.7088888888888889
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              /mnt/home/ctb/22.fa.sig
              0.6077348066298343
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              /mnt/home/ctb/23.fa.sig
              0.5481283422459893
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              /mnt/home/ctb/24.fa.sig
              0.34192439862542956
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              /mnt/home/ctb/25.fa.sig
              0.6038961038961039
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              /mnt/home/ctb/26.fa.sig
              0.3007518796992481
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              /mnt/home/ctb/27.fa.sig
              0.558648111332008
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              /mnt/home/ctb/28.fa.sig
              0.5986842105263158
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              /mnt/home/ctb/29.fa.sig
              0.5454545454545454
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              /mnt/home/ctb/2.fa.sig
              0.33941605839416056
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              /mnt/home/ctb/30.fa.sig
              0.5192307692307693
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              /mnt/home/ctb/31.fa.sig
              0.6010928961748634
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              /mnt/home/ctb/32.fa.sig
              0.41965973534971646
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              /mnt/home/ctb/33.fa.sig
              0.925
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              /mnt/home/ctb/34.fa.sig
              0.7357723577235772
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              0.005494505494505495

            
              /mnt/home/ctb/35.fa.sig
              0.3338150289017341
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              /mnt/home/ctb/36.fa.sig
              0.3737024221453287
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              /mnt/home/ctb/37.fa.sig
              0.37799043062200954
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              /mnt/home/ctb/38.fa.sig
              0.6262135922330098
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              /mnt/home/ctb/39.fa.sig
              0.5436893203883495
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              /mnt/home/ctb/3.fa.sig
              0.6981132075471698
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              /mnt/home/ctb/40.fa.sig
              0.5789473684210527
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              /mnt/home/ctb/41.fa.sig
              0.5494505494505495
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              /mnt/home/ctb/42.fa.sig
              0.7393939393939394
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              /mnt/home/ctb/43.fa.sig
              0.7891654465592972
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              /mnt/home/ctb/44.fa.sig
              0.7424593967517401
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              /mnt/home/ctb/45.fa.sig
              0.6468531468531469
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              /mnt/home/ctb/46.fa.sig
              0.6673387096774194
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              /mnt/home/ctb/47.fa.sig
              0.708171206225681
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              /mnt/home/ctb/48.fa.sig
              0.7301587301587301
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              /mnt/home/ctb/49.fa.sig
              0.6338797814207651
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
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              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
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              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
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              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
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              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
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              /mnt/home/ctb/54.fa.sig
              0.46524064171123
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              /mnt/home/ctb/55.fa.sig
              0.4810810810810811
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
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              /mnt/home/ctb/58.fa.sig
              0.7004830917874396
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
              0.38223938223938225
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
              0.782051282051282
              0.0032679738562091504

            
              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
              0.39666666666666667
              0.01652892561983471

## r3.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
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            0.014652014652014652

            
              /mnt/home/ctb/10.fa.sig
              0.4523809523809524
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              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
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              /mnt/home/ctb/12.fa.sig
              0.64
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              /mnt/home/ctb/13.fa.sig
              0.47465437788018433
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              /mnt/home/ctb/14.fa.sig
              0.390057361376673
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              /mnt/home/ctb/15.fa.sig
              0.2761394101876676
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              /mnt/home/ctb/16.fa.sig
              0.5598802395209581
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              /mnt/home/ctb/17.fa.sig
              0.33053221288515405
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              /mnt/home/ctb/18.fa.sig
              0.4494949494949495
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              /mnt/home/ctb/19.fa.sig
              0.2182410423452769
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              /mnt/home/ctb/1.fa.sig
              0.7375886524822695
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              /mnt/home/ctb/20.fa.sig
              0.03333333333333333
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              /mnt/home/ctb/21.fa.sig
              0.7088888888888889
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              /mnt/home/ctb/22.fa.sig
              0.6077348066298343
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              /mnt/home/ctb/23.fa.sig
              0.5481283422459893
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              /mnt/home/ctb/24.fa.sig
              0.34192439862542956
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              /mnt/home/ctb/25.fa.sig
              0.6038961038961039
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              /mnt/home/ctb/26.fa.sig
              0.3007518796992481
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              /mnt/home/ctb/27.fa.sig
              0.558648111332008
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              /mnt/home/ctb/28.fa.sig
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              /mnt/home/ctb/29.fa.sig
              0.5454545454545454
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              /mnt/home/ctb/2.fa.sig
              0.33941605839416056
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              /mnt/home/ctb/30.fa.sig
              0.5192307692307693
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              /mnt/home/ctb/31.fa.sig
              0.6010928961748634
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              /mnt/home/ctb/32.fa.sig
              0.41965973534971646
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
              0.7357723577235772
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              /mnt/home/ctb/35.fa.sig
              0.3338150289017341
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              /mnt/home/ctb/36.fa.sig
              0.3737024221453287
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              /mnt/home/ctb/37.fa.sig
              0.37799043062200954
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              /mnt/home/ctb/38.fa.sig
              0.6262135922330098
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              /mnt/home/ctb/39.fa.sig
              0.5436893203883495
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              /mnt/home/ctb/3.fa.sig
              0.6981132075471698
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
              0.7393939393939394
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
              0.7424593967517401
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
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              /mnt/home/ctb/48.fa.sig
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
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              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
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              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
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              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
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              /mnt/home/ctb/53.fa.sig
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              /mnt/home/ctb/54.fa.sig
              0.46524064171123
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              /mnt/home/ctb/55.fa.sig
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
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              /mnt/home/ctb/58.fa.sig
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
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              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
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## r4.csv

          
            /mnt/home/ctb/0.fa.sig
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              /mnt/home/ctb/10.fa.sig
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              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
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              /mnt/home/ctb/12.fa.sig
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              /mnt/home/ctb/13.fa.sig
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              /mnt/home/ctb/14.fa.sig
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              /mnt/home/ctb/15.fa.sig
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              /mnt/home/ctb/16.fa.sig
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
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              /mnt/home/ctb/20.fa.sig
              0.03333333333333333
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              /mnt/home/ctb/21.fa.sig
              0.7088888888888889
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              /mnt/home/ctb/22.fa.sig
              0.6077348066298343
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              /mnt/home/ctb/23.fa.sig
              0.5481283422459893
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              /mnt/home/ctb/24.fa.sig
              0.34192439862542956
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              /mnt/home/ctb/25.fa.sig
              0.6038961038961039
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              /mnt/home/ctb/26.fa.sig
              0.3007518796992481
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              /mnt/home/ctb/27.fa.sig
              0.558648111332008
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              /mnt/home/ctb/28.fa.sig
              0.5986842105263158
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              /mnt/home/ctb/29.fa.sig
              0.5454545454545454
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              /mnt/home/ctb/2.fa.sig
              0.33941605839416056
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              /mnt/home/ctb/30.fa.sig
              0.5192307692307693
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              /mnt/home/ctb/31.fa.sig
              0.6010928961748634
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              /mnt/home/ctb/32.fa.sig
              0.41965973534971646
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              /mnt/home/ctb/33.fa.sig
              0.925
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              /mnt/home/ctb/34.fa.sig
              0.7357723577235772
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              /mnt/home/ctb/35.fa.sig
              0.3338150289017341
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              /mnt/home/ctb/36.fa.sig
              0.3737024221453287
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              /mnt/home/ctb/37.fa.sig
              0.37799043062200954
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              /mnt/home/ctb/38.fa.sig
              0.6262135922330098
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              /mnt/home/ctb/39.fa.sig
              0.5436893203883495
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
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              /mnt/home/ctb/48.fa.sig
              0.7301587301587301
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
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              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
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              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
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              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
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              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
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              /mnt/home/ctb/54.fa.sig
              0.46524064171123
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              /mnt/home/ctb/55.fa.sig
              0.4810810810810811
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
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              /mnt/home/ctb/58.fa.sig
              0.7004830917874396
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
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              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
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## r5.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
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              /mnt/home/ctb/10.fa.sig
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              /mnt/home/ctb/11.fa.sig
              0.4053156146179402
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              /mnt/home/ctb/12.fa.sig
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              /mnt/home/ctb/13.fa.sig
              0.47465437788018433
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              /mnt/home/ctb/14.fa.sig
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              /mnt/home/ctb/15.fa.sig
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              /mnt/home/ctb/16.fa.sig
              0.5598802395209581
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
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              /mnt/home/ctb/20.fa.sig
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              /mnt/home/ctb/21.fa.sig
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              /mnt/home/ctb/22.fa.sig
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              /mnt/home/ctb/23.fa.sig
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              /mnt/home/ctb/24.fa.sig
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              /mnt/home/ctb/25.fa.sig
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              /mnt/home/ctb/26.fa.sig
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              /mnt/home/ctb/27.fa.sig
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              /mnt/home/ctb/28.fa.sig
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              /mnt/home/ctb/2.fa.sig
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              /mnt/home/ctb/30.fa.sig
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              /mnt/home/ctb/31.fa.sig
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              /mnt/home/ctb/32.fa.sig
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
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              /mnt/home/ctb/35.fa.sig
              0.3338150289017341
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              /mnt/home/ctb/36.fa.sig
              0.3737024221453287
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              /mnt/home/ctb/37.fa.sig
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              /mnt/home/ctb/38.fa.sig
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              /mnt/home/ctb/39.fa.sig
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
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              /mnt/home/ctb/48.fa.sig
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
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              /mnt/home/ctb/50.fa.sig
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              /mnt/home/ctb/51.fa.sig
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              /mnt/home/ctb/52.fa.sig
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              /mnt/home/ctb/53.fa.sig
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              /mnt/home/ctb/54.fa.sig
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              /mnt/home/ctb/55.fa.sig
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              /mnt/home/ctb/56.fa.sig
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              /mnt/home/ctb/57.fa.sig
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              /mnt/home/ctb/58.fa.sig
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              /mnt/home/ctb/59.fa.sig
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              /mnt/home/ctb/5.fa.sig
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              /mnt/home/ctb/60.fa.sig
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              /mnt/home/ctb/61.fa.sig
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              /mnt/home/ctb/62.fa.sig
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
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              /mnt/home/ctb/9.fa.sig
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## r6.csv

          
            /mnt/home/ctb/0.fa.sig
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              /mnt/home/ctb/10.fa.sig
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              /mnt/home/ctb/11.fa.sig
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              /mnt/home/ctb/12.fa.sig
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              /mnt/home/ctb/13.fa.sig
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              /mnt/home/ctb/14.fa.sig
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              /mnt/home/ctb/15.fa.sig
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              /mnt/home/ctb/16.fa.sig
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
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              /mnt/home/ctb/20.fa.sig
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              /mnt/home/ctb/21.fa.sig
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              /mnt/home/ctb/22.fa.sig
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              /mnt/home/ctb/23.fa.sig
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              /mnt/home/ctb/24.fa.sig
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              /mnt/home/ctb/25.fa.sig
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              /mnt/home/ctb/26.fa.sig
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              /mnt/home/ctb/27.fa.sig
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              /mnt/home/ctb/28.fa.sig
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              /mnt/home/ctb/29.fa.sig
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              /mnt/home/ctb/2.fa.sig
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              /mnt/home/ctb/30.fa.sig
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              /mnt/home/ctb/31.fa.sig
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              /mnt/home/ctb/32.fa.sig
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
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              /mnt/home/ctb/35.fa.sig
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              /mnt/home/ctb/36.fa.sig
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              /mnt/home/ctb/37.fa.sig
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              /mnt/home/ctb/38.fa.sig
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              /mnt/home/ctb/39.fa.sig
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
              0.6673387096774194
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              /mnt/home/ctb/47.fa.sig
              0.708171206225681
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              /mnt/home/ctb/48.fa.sig
              0.7301587301587301
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
              0.2991869918699187
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              /mnt/home/ctb/50.fa.sig
              0.3917525773195876
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              /mnt/home/ctb/51.fa.sig
              0.8181818181818182
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              /mnt/home/ctb/52.fa.sig
              0.8432432432432433
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              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
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              /mnt/home/ctb/54.fa.sig
              0.46524064171123
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              /mnt/home/ctb/55.fa.sig
              0.4810810810810811
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              /mnt/home/ctb/57.fa.sig
              0.3864734299516908
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              /mnt/home/ctb/58.fa.sig
              0.7004830917874396
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              /mnt/home/ctb/59.fa.sig
              0.8115942028985508
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
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              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
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## r7.csv

          
            /mnt/home/ctb/0.fa.sig
            0.627039627039627
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              /mnt/home/ctb/10.fa.sig
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              /mnt/home/ctb/11.fa.sig
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              /mnt/home/ctb/12.fa.sig
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              /mnt/home/ctb/13.fa.sig
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              /mnt/home/ctb/15.fa.sig
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              /mnt/home/ctb/16.fa.sig
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
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              /mnt/home/ctb/20.fa.sig
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              /mnt/home/ctb/21.fa.sig
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              /mnt/home/ctb/22.fa.sig
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              /mnt/home/ctb/23.fa.sig
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              /mnt/home/ctb/24.fa.sig
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              /mnt/home/ctb/25.fa.sig
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              /mnt/home/ctb/26.fa.sig
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              /mnt/home/ctb/27.fa.sig
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              /mnt/home/ctb/28.fa.sig
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              /mnt/home/ctb/2.fa.sig
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              /mnt/home/ctb/30.fa.sig
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              /mnt/home/ctb/31.fa.sig
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              /mnt/home/ctb/32.fa.sig
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
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              /mnt/home/ctb/35.fa.sig
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              /mnt/home/ctb/36.fa.sig
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              /mnt/home/ctb/37.fa.sig
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              /mnt/home/ctb/38.fa.sig
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              /mnt/home/ctb/39.fa.sig
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
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              /mnt/home/ctb/48.fa.sig
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
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              /mnt/home/ctb/50.fa.sig
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              /mnt/home/ctb/51.fa.sig
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              /mnt/home/ctb/52.fa.sig
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              /mnt/home/ctb/53.fa.sig
              0.9234972677595629
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              /mnt/home/ctb/54.fa.sig
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              /mnt/home/ctb/55.fa.sig
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              /mnt/home/ctb/56.fa.sig
              0.5034013605442177
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              /mnt/home/ctb/57.fa.sig
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              /mnt/home/ctb/58.fa.sig
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              /mnt/home/ctb/59.fa.sig
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              /mnt/home/ctb/5.fa.sig
              0.3829787234042553
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              /mnt/home/ctb/60.fa.sig
              0.7840616966580977
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              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
              0.7214285714285714
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              /mnt/home/ctb/63.fa.sig
              0.730909090909091
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
              0.8239130434782609
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              /mnt/home/ctb/8.fa.sig
              0.44727272727272727
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              /mnt/home/ctb/9.fa.sig
              0.39932885906040266
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## r8.csv

          
            /mnt/home/ctb/0.fa.sig
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              /mnt/home/ctb/10.fa.sig
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              /mnt/home/ctb/11.fa.sig
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              /mnt/home/ctb/12.fa.sig
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              /mnt/home/ctb/13.fa.sig
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              /mnt/home/ctb/14.fa.sig
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              /mnt/home/ctb/15.fa.sig
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              /mnt/home/ctb/16.fa.sig
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              /mnt/home/ctb/17.fa.sig
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              /mnt/home/ctb/18.fa.sig
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              /mnt/home/ctb/19.fa.sig
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              /mnt/home/ctb/1.fa.sig
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              /mnt/home/ctb/20.fa.sig
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              /mnt/home/ctb/21.fa.sig
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              /mnt/home/ctb/22.fa.sig
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              /mnt/home/ctb/23.fa.sig
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              /mnt/home/ctb/24.fa.sig
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              /mnt/home/ctb/25.fa.sig
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              /mnt/home/ctb/26.fa.sig
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              /mnt/home/ctb/27.fa.sig
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              /mnt/home/ctb/28.fa.sig
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              /mnt/home/ctb/29.fa.sig
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              /mnt/home/ctb/2.fa.sig
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              /mnt/home/ctb/30.fa.sig
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              /mnt/home/ctb/31.fa.sig
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              /mnt/home/ctb/32.fa.sig
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              /mnt/home/ctb/33.fa.sig
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              /mnt/home/ctb/34.fa.sig
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              /mnt/home/ctb/35.fa.sig
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              /mnt/home/ctb/36.fa.sig
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              /mnt/home/ctb/37.fa.sig
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              /mnt/home/ctb/38.fa.sig
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              /mnt/home/ctb/39.fa.sig
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              /mnt/home/ctb/3.fa.sig
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              /mnt/home/ctb/40.fa.sig
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              /mnt/home/ctb/41.fa.sig
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              /mnt/home/ctb/42.fa.sig
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              /mnt/home/ctb/43.fa.sig
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              /mnt/home/ctb/44.fa.sig
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              /mnt/home/ctb/45.fa.sig
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              /mnt/home/ctb/46.fa.sig
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              /mnt/home/ctb/47.fa.sig
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              /mnt/home/ctb/48.fa.sig
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              /mnt/home/ctb/49.fa.sig
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              /mnt/home/ctb/4.fa.sig
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              /mnt/home/ctb/50.fa.sig
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              /mnt/home/ctb/51.fa.sig
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              /mnt/home/ctb/52.fa.sig
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              /mnt/home/ctb/53.fa.sig
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              /mnt/home/ctb/54.fa.sig
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              /mnt/home/ctb/55.fa.sig
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              /mnt/home/ctb/56.fa.sig
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              /mnt/home/ctb/57.fa.sig
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              /mnt/home/ctb/58.fa.sig
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              /mnt/home/ctb/59.fa.sig
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              /mnt/home/ctb/5.fa.sig
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              /mnt/home/ctb/60.fa.sig
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              /mnt/home/ctb/61.fa.sig
              0.46886446886446886
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              /mnt/home/ctb/62.fa.sig
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              /mnt/home/ctb/63.fa.sig
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              /mnt/home/ctb/6.fa.sig
              0.697632058287796
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              /mnt/home/ctb/7.fa.sig
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              /mnt/home/ctb/8.fa.sig
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              /mnt/home/ctb/9.fa.sig
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## r9.csv

          
            /mnt/home/ctb/0.fa.sig
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              /mnt/home/ctb/10.fa.sig
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