},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
" if verbose:\n",
" ca = re.search('current alphabet (\\w+)', blurb).group(1)\n",
" pa = re.search('plain alphabet (\\w+)', blurb).group(1)\n",
+ " mapped_ca = cat(p[1] for p in sorted(zip(pa, ca)))\n",
" return {'time': dt, 'worker': worker, 'iteration': iteration, 'fitness': fitness, \n",
- " 'cipher_alphabet': ca, 'plain_alphabet': pa}\n",
+ " 'cipher_alphabet': ca, 'plain_alphabet': pa, 'mapped_cipher_alphabet': mapped_ca}\n",
" else:\n",
" return {'time': dt, 'worker': worker, 'iteration': iteration, 'fitness': fitness}"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
- "def dump_result(starttime, filename, verbose=False):\n",
+ "def dump_result(starttime, filename, verbose=False, target_cipher_alphabet=''):\n",
" parsed = [log_parse(line, verbose=verbose) for line in open('cipher.log')]\n",
" trace = pd.DataFrame([p for p in parsed if p['time'] > starttime])\n",
" trace = trace.set_index(['worker', 'iteration']).sort_index()\n",
+ " trace['target_cipher_alphabet'] = target_cipher_alphabet\n",
" workers = list(sorted(set(trace.index.get_level_values(0))))\n",
" if verbose:\n",
- " trace[['fitness', 'plain_alphabet', 'cipher_alphabet']].to_csv(filename, header=True)\n",
+ " trace[['fitness', 'plain_alphabet', 'cipher_alphabet', 'mapped_cipher_alphabet', 'target_cipher_alphabet']].to_csv(filename, header=True)\n",
" else:\n",
" trace.fitness.to_csv(filename, header=True)\n",
" return workers, trace"
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"'etoainhsrdlumwycfgpbvkxjqz'"
]
},
- "execution_count": 10,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"'theadventuresofsherl'"
]
},
- "execution_count": 12,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"-542391.5369482826"
]
},
- "execution_count": 13,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"-1471429.4753165497"
]
},
- "execution_count": 14,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"'etaoihnsrdlumwcyfgpbvkxjqz'"
]
},
- "execution_count": 15,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "('qlkwrmaznifhoxjgspvudybtec',\n",
- " 'jogqxexjbnmejdqprbrhhdgnxejdph',\n",
- " 'ompanynowifyouarewellupinyourl')"
+ "('sbyopakxntlewgimvfcduqrzhj',\n",
+ " 'seirqinyprxncmpfporselmscdwpsg',\n",
+ " 'alowvoicewhisperedwalkpastmean')"
]
},
- "execution_count": 16,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"'yearningforrespiteth'"
]
},
- "execution_count": 17,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 44,
+ "execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'guefwqwydaffujhqlulmufanewjjsddufutejtegjlsfwutqwlabuupjewtbuupjqwlanawlmjbqlmxeiyexsjewtlmuxeiutawq'"
+ "'qviaysynjpaaverswvwxvapciyeetjjvavzieziqewtayvzsywpfvvmeiyzfvvmesywpcpywxefswxgihnigteiyzwxvgihvzpys'"
]
},
- "execution_count": 44,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
"ct_key = cat(ct_key)\n",
"# ct = keyword_encipher(pt, 'arcanaimperii')\n",
"ct = keyword_encipher(pt, ct_key)\n",
+ "ct_alpha = commonest_alphabet(ct)\n",
"ct[:100]"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "('itkabjesqnguhwycmplrvfxdoz', -14681.308607565503)"
+ "('vwpisyxeazhtcfqgjnrokmldbu', -14681.308607565503)"
]
},
- "execution_count": 11,
+ "execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
+ "start_time = datetime.now()\n",
"sa_cipher_alphabet, score = simulated_annealing_break(ct, plain_alphabet=plain_alpha, cipher_alphabet=ct_alpha)\n",
"sa_cipher_alphabet, score"
]
},
{
"cell_type": "code",
- "execution_count": 75,
+ "execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'arcnimpebdfghjkloqstuvwxyz'"
+ "'iogzvjnxsdmhcyprbaewtkflqu'"
]
},
- "execution_count": 75,
+ "execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "cat(p[1] for p in sorted(zip(plain_alpha, sa_cipher_alphabet[0])))"
+ "ct_key"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'iogzvjnxsdmhcyprbaewtkflqu'"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cat(p[1] for p in sorted(zip(plain_alpha, sa_cipher_alphabet)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
"metadata": {},
"outputs": [
{
"'arcnimpebdfghjkloqstuvwxyz'"
]
},
- "execution_count": 10,
+ "execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 54,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "cipher.log enigma.log\n"
+ "cipher.log old.cipher.log\n"
]
}
],
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['2018-12-05 18:27:56,697 - cipherbreak - DEBUG - Simulated annealing worker 8: iteration 0, temperature 200, current alphabet itakbjsqenguhcpmwylvrfxodz, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosninychsseapitetreshmonaauccesedoadogatusnedint',\n",
- " '2018-12-05 18:27:56,698 - cipherbreak - DEBUG - Simulated annealing worker 0: iteration 0, temperature 200, current alphabet itakbjsqenguhcpmwylvrfxodz, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosninycassehkitetresamonhhuccesedohdoghtusnedint',\n",
- " '2018-12-05 18:27:56,698 - cipherbreak - DEBUG - Simulated annealing worker 2: iteration 0, temperature 200, current alphabet itakbjsqenguhcpmwylvrfxodz, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosnhnycasseiphtetresamoniiuccesedoidogitusnedhnt',\n",
- " '2018-12-05 18:27:56,698 - cipherbreak - DEBUG - Simulated annealing worker 1: iteration 0, temperature 200, current alphabet itakbjsqenguhcpmwylvrfxodz, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosnhnycasseiphtetresamoniiuccesedoidogitusnedhnt',\n",
- " '2018-12-05 18:27:56,699 - cipherbreak - DEBUG - Simulated annealing worker 3: iteration 0, temperature 200, current alphabet itakbjsqenguhcpmwyrvlfxodz, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17467.215783229432, best_plaintext geosninycassehvitetresamonhhuccesedohdoghtusnedint']"
+ "['2019-10-28 09:59:14,978 - cipherbreak - DEBUG - Simulated annealing worker 2: iteration 0, temperature 200, current alphabet rjgzieptunyxodfsmbacqhkwvl, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext getsninycassehpioeoresamtnhhuccesedthdtghousnedino',\n",
+ " '2019-10-28 09:59:14,978 - cipherbreak - DEBUG - Simulated annealing worker 8: iteration 0, temperature 200, current alphabet rjgzieptunyxocfsmbadqhkwvl, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17394.10216261065, best_plaintext geosninycassehpitetresamonhhuccesedohdoghtusnedint',\n",
+ " '2019-10-28 09:59:14,980 - cipherbreak - DEBUG - Simulated annealing worker 0: iteration 0, temperature 200, current alphabet rjgzieptunyxodcsmbafqhkwvl, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17476.383874573305, best_plaintext geosninbcassehpitetresamonhhuccesedohdoghtusnedint',\n",
+ " '2019-10-28 09:59:14,980 - cipherbreak - DEBUG - Simulated annealing worker 1: iteration 0, temperature 200, current alphabet rjgzieptunyxodfsmbacqhkwvl, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosninychsseapitetreshmonaauccesedoadogatusnedint',\n",
+ " '2019-10-28 09:59:14,980 - cipherbreak - DEBUG - Simulated annealing worker 4: iteration 0, temperature 200, current alphabet rjgzieptunyxodfsmbacqhkwvl, plain alphabet etoainhsrdlumwycfgpbvkxjqz, current_fitness -17464.568516864027, best_plaintext geosninycassezpitetresamonzzuccesedozdogztusnedint']"
]
},
- "execution_count": 15,
+ "execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "{'time': datetime.datetime(2018, 12, 5, 18, 27, 56, 697000),\n",
- " 'worker': 8,\n",
+ "{'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 978000),\n",
+ " 'worker': 2,\n",
" 'iteration': 0,\n",
" 'fitness': -17464.568516864027}"
]
},
- "execution_count": 46,
+ "execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "[{'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 557000),\n",
- " 'worker': 8,\n",
- " 'iteration': 500,\n",
- " 'fitness': -19506.212009034196},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 635000),\n",
- " 'worker': 9,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18038.95559884915},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 993000),\n",
- " 'worker': 5,\n",
- " 'iteration': 500,\n",
- " 'fitness': -17327.223609157583},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 995000),\n",
- " 'worker': 3,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18946.41644162794},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 996000),\n",
- " 'worker': 2,\n",
- " 'iteration': 500,\n",
- " 'fitness': -21014.221984327247},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 998000),\n",
- " 'worker': 7,\n",
- " 'iteration': 500,\n",
- " 'fitness': -20093.45361142934},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 998000),\n",
- " 'worker': 4,\n",
- " 'iteration': 500,\n",
- " 'fitness': -20003.348090823332},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 57, 999000),\n",
- " 'worker': 1,\n",
- " 'iteration': 500,\n",
- " 'fitness': -19134.666194684774},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 58),\n",
- " 'worker': 6,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18597.23462090166},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 58, 1000),\n",
- " 'worker': 0,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18848.039141799247},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 58, 276000),\n",
- " 'worker': 8,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19011.452688727233},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 58, 352000),\n",
- " 'worker': 9,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -18741.08747198464},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 58, 954000),\n",
- " 'worker': 8,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19324.48074341969},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 56000),\n",
- " 'worker': 9,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19194.180212110503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 273000),\n",
- " 'worker': 5,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -18079.493977379658},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 275000),\n",
- " 'worker': 2,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19586.334887748137},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 276000),\n",
- " 'worker': 7,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19595.283669119322},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 282000),\n",
- " 'worker': 3,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19556.303534097875},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 283000),\n",
- " 'worker': 0,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19060.650868638797},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 285000),\n",
- " 'worker': 6,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19048.945801444726},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 286000),\n",
- " 'worker': 1,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -17780.893262937854},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 288000),\n",
- " 'worker': 4,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19871.461472608527},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 656000),\n",
- " 'worker': 8,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18541.60058087154},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 27, 59, 762000),\n",
- " 'worker': 9,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18139.230527668664},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 307000),\n",
- " 'worker': 4,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19615.20233677959},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 341000),\n",
- " 'worker': 8,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18792.355486875542},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 538000),\n",
- " 'worker': 5,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19614.656719789735},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 540000),\n",
- " 'worker': 2,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19420.645677197903},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 547000),\n",
- " 'worker': 3,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19516.69841398513},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 547000),\n",
- " 'worker': 7,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19230.947512617677},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 552000),\n",
- " 'worker': 6,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19062.24295819328},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 555000),\n",
- " 'worker': 1,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19005.04145812939},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 559000),\n",
- " 'worker': 0,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19678.103852267177},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 826000),\n",
- " 'worker': 9,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18554.14253773069},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 0, 996000),\n",
- " 'worker': 4,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19797.711974806178},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 15000),\n",
- " 'worker': 8,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18929.774792204666},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 684000),\n",
- " 'worker': 4,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18404.449071388823},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 727000),\n",
- " 'worker': 8,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -18413.47164984584},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 815000),\n",
- " 'worker': 2,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18449.545495871713},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 817000),\n",
- " 'worker': 5,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -20293.16285350564},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 821000),\n",
- " 'worker': 7,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18382.9684664272},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 828000),\n",
- " 'worker': 3,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19269.277188085696},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 838000),\n",
- " 'worker': 6,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18034.64907452757},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 838000),\n",
- " 'worker': 1,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -20212.029343114173},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 1, 848000),\n",
- " 'worker': 0,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -18398.93978482426},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 2, 106000),\n",
- " 'worker': 9,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -17022.580186111096},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 2, 370000),\n",
- " 'worker': 4,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18341.09176296995},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 2, 436000),\n",
- " 'worker': 8,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -17620.87851235687},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 49000),\n",
- " 'worker': 4,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -18629.108009257943},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 79000),\n",
- " 'worker': 2,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18229.656265246995},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 83000),\n",
- " 'worker': 5,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -19086.384794143425},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 85000),\n",
- " 'worker': 7,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -17864.67484051336},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 95000),\n",
- " 'worker': 3,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18518.178105852596},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 102000),\n",
- " 'worker': 8,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18886.480601943767},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 104000),\n",
- " 'worker': 6,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -17969.995425476307},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 109000),\n",
- " 'worker': 1,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -17400.637120062693},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 121000),\n",
- " 'worker': 0,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18747.729945027986},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 384000),\n",
- " 'worker': 9,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -20705.07819308174},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 786000),\n",
- " 'worker': 8,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18084.38300999115},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 3, 835000),\n",
- " 'worker': 2,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18620.50568328267},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 180000),\n",
- " 'worker': 4,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18336.454140137244},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 361000),\n",
- " 'worker': 1,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19478.17147468461},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 370000),\n",
- " 'worker': 7,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -17877.74019133228},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 371000),\n",
- " 'worker': 3,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19048.338653729337},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 376000),\n",
- " 'worker': 5,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -20898.734244859043},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 386000),\n",
- " 'worker': 6,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -16939.27057282322},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 409000),\n",
- " 'worker': 0,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19854.447324573906},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 533000),\n",
- " 'worker': 2,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17187.53758324829},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 648000),\n",
- " 'worker': 8,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18895.743869174006},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 4, 669000),\n",
- " 'worker': 9,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -19501.45392767446},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 26000),\n",
- " 'worker': 1,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19606.201177583636},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 245000),\n",
- " 'worker': 2,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18393.7240060119},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 444000),\n",
- " 'worker': 4,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18387.174172922445},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 635000),\n",
- " 'worker': 3,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17041.761138586608},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 642000),\n",
- " 'worker': 7,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17392.748738228944},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 650000),\n",
- " 'worker': 6,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17330.16526324624},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 667000),\n",
- " 'worker': 5,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19135.242019282377},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 697000),\n",
- " 'worker': 0,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17418.19577491629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 753000),\n",
- " 'worker': 1,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -19393.961211753554},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 934000),\n",
- " 'worker': 8,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17830.33557166024},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 945000),\n",
- " 'worker': 9,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17892.435290290625},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 5, 981000),\n",
- " 'worker': 2,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18698.144154223184},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 435000),\n",
- " 'worker': 1,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18800.545050055454},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 503000),\n",
- " 'worker': 0,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -16632.42554157389},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 719000),\n",
- " 'worker': 4,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18280.140281591077},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 912000),\n",
- " 'worker': 3,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18542.627305858536},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 916000),\n",
- " 'worker': 7,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18493.69033006823},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 927000),\n",
- " 'worker': 6,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -17393.388119756386},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 6, 953000),\n",
- " 'worker': 5,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -17503.069503416547},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 126000),\n",
- " 'worker': 1,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17390.336776695618},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 165000),\n",
- " 'worker': 0,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17634.827628782918},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 200000),\n",
- " 'worker': 8,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17428.607305695987},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 219000),\n",
- " 'worker': 9,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18170.02084407561},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 270000),\n",
- " 'worker': 2,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17827.94293353811},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 856000),\n",
- " 'worker': 5,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18082.931621876454},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 7, 983000),\n",
- " 'worker': 4,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18595.65422981538},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 62000),\n",
- " 'worker': 1,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17193.700008245654},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 183000),\n",
- " 'worker': 3,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -19429.72065240524},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 185000),\n",
- " 'worker': 7,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18511.027065967108},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 195000),\n",
- " 'worker': 6,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17859.105332243653},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 442000),\n",
- " 'worker': 0,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18033.2447620835},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 487000),\n",
- " 'worker': 8,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16984.79188180881},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 489000),\n",
- " 'worker': 9,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18378.049112148143},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 533000),\n",
- " 'worker': 2,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17716.896348117207},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 592000),\n",
- " 'worker': 5,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -20390.806341044932},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 8, 798000),\n",
- " 'worker': 1,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18116.594707989414},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 260000),\n",
- " 'worker': 4,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18894.618827025028},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 376000),\n",
- " 'worker': 5,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -19739.451268522404},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 459000),\n",
- " 'worker': 3,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18602.940996743786},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 467000),\n",
- " 'worker': 7,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17799.05403285316},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 474000),\n",
- " 'worker': 6,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -16545.601685561487},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 695000),\n",
- " 'worker': 1,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -15521.23314383998},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 705000),\n",
- " 'worker': 0,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -16848.17732266875},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 750000),\n",
- " 'worker': 8,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17651.668173724873},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 766000),\n",
- " 'worker': 9,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17678.75330561347},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 9, 815000),\n",
- " 'worker': 2,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17889.376509552665},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 524000),\n",
- " 'worker': 4,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -18659.056280723984},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 613000),\n",
- " 'worker': 9,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17650.74134056951},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 620000),\n",
- " 'worker': 2,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -18187.980824614297},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 655000),\n",
- " 'worker': 5,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18529.548428506027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 721000),\n",
- " 'worker': 3,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18410.71610809687},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 733000),\n",
- " 'worker': 6,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -16826.458193958388},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 736000),\n",
- " 'worker': 7,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18002.74242422733},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 966000),\n",
- " 'worker': 1,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16047.53530288506},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 10, 977000),\n",
- " 'worker': 0,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -16154.124706442182},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 22000),\n",
- " 'worker': 8,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16817.91911998762},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 287000),\n",
- " 'worker': 9,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17358.130163552203},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 324000),\n",
- " 'worker': 2,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16861.63470732543},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 799000),\n",
- " 'worker': 4,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17953.192243685102},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 914000),\n",
- " 'worker': 5,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17889.94069028997},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 944000),\n",
- " 'worker': 9,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17143.640914346324},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 994000),\n",
- " 'worker': 3,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18536.570483679698},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 11, 998000),\n",
- " 'worker': 2,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16539.514654309765},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 4000),\n",
- " 'worker': 6,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -16679.173786884076},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 12000),\n",
- " 'worker': 7,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18175.711713672594},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 225000),\n",
- " 'worker': 1,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16452.52144633103},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 233000),\n",
- " 'worker': 0,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -16452.404246043414},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 289000),\n",
- " 'worker': 8,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17006.474846719855},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 641000),\n",
- " 'worker': 9,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16614.803388816013},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 12, 901000),\n",
- " 'worker': 0,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16677.326420272075},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 58000),\n",
- " 'worker': 4,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -18339.282467115518},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 72000),\n",
- " 'worker': 2,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17301.8417114411},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 182000),\n",
- " 'worker': 5,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17334.537156849256},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 261000),\n",
- " 'worker': 3,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -18031.285622561743},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 268000),\n",
- " 'worker': 6,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -16422.7375527152},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 279000),\n",
- " 'worker': 7,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17504.187460278605},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 326000),\n",
- " 'worker': 9,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16971.464100835325},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 493000),\n",
- " 'worker': 1,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -15773.499250805828},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 555000),\n",
- " 'worker': 8,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15226.057813342175},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 575000),\n",
- " 'worker': 0,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17240.73733527656},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 13, 994000),\n",
- " 'worker': 9,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16049.627773653003},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 267000),\n",
- " 'worker': 0,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17538.610976751468},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 331000),\n",
- " 'worker': 2,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -15999.749156327724},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 333000),\n",
- " 'worker': 4,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -18309.78608355871},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 442000),\n",
- " 'worker': 5,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16256.00720008966},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 528000),\n",
- " 'worker': 3,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17581.20303046428},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 534000),\n",
- " 'worker': 6,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16925.788998820055},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 554000),\n",
- " 'worker': 7,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -18572.05453072059},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 678000),\n",
- " 'worker': 9,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15830.921286816676},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 752000),\n",
- " 'worker': 1,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16599.40684997735},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 14, 807000),\n",
- " 'worker': 8,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -17117.33019989978},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 176000),\n",
- " 'worker': 0,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16889.43933685168},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 247000),\n",
- " 'worker': 5,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16374.072710564345},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 488000),\n",
- " 'worker': 9,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16153.189088061568},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 590000),\n",
- " 'worker': 4,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17260.794949962612},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 600000),\n",
- " 'worker': 2,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16764.03048646914},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 791000),\n",
- " 'worker': 3,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17960.814964208697},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 807000),\n",
- " 'worker': 6,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16817.494896507043},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 818000),\n",
- " 'worker': 7,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17811.92361311319},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 918000),\n",
- " 'worker': 0,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15703.685929976222},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 15, 921000),\n",
- " 'worker': 5,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -15528.756041988652},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 45000),\n",
- " 'worker': 1,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15689.40995208135},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 76000),\n",
- " 'worker': 8,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15898.65336137873},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 744000),\n",
- " 'worker': 9,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15544.678618934651},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 792000),\n",
- " 'worker': 0,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16813.40458563439},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 827000),\n",
- " 'worker': 5,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15269.089304752624},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 856000),\n",
- " 'worker': 4,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16424.939130016453},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 16, 866000),\n",
- " 'worker': 2,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15617.851287894646},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 64000),\n",
- " 'worker': 3,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17258.223976007055},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 79000),\n",
- " 'worker': 6,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16706.30829529822},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 91000),\n",
- " 'worker': 7,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16172.10089134246},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 309000),\n",
- " 'worker': 1,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15278.98850746955},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 337000),\n",
- " 'worker': 8,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15970.498815455323},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 484000),\n",
- " 'worker': 0,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16965.959540158852},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 17, 497000),\n",
- " 'worker': 5,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16171.253641185343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 7000),\n",
- " 'worker': 9,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15481.776383794944},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 106000),\n",
- " 'worker': 4,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16114.148485332731},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 133000),\n",
- " 'worker': 2,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15897.207732365574},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 198000),\n",
- " 'worker': 5,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15976.32225367706},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 239000),\n",
- " 'worker': 0,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -16419.503701784342},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 324000),\n",
- " 'worker': 3,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -18014.381767746403},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 340000),\n",
- " 'worker': 6,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16178.495320022208},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 345000),\n",
- " 'worker': 7,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -15721.917263183206},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 584000),\n",
- " 'worker': 1,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15166.897915355234},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 18, 601000),\n",
- " 'worker': 8,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15495.913965599955},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 20000),\n",
- " 'worker': 0,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -16055.595445458615},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 46000),\n",
- " 'worker': 5,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -16352.652198437934},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 263000),\n",
- " 'worker': 9,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15910.295343982507},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 375000),\n",
- " 'worker': 4,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15442.82645508135},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 389000),\n",
- " 'worker': 2,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15805.574304375701},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 597000),\n",
- " 'worker': 3,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -17576.045133748434},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 611000),\n",
- " 'worker': 6,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15855.870210506502},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 614000),\n",
- " 'worker': 7,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16943.864439542413},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 691000),\n",
- " 'worker': 0,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15555.725375024595},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 729000),\n",
- " 'worker': 5,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15611.291563558481},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 845000),\n",
- " 'worker': 1,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15877.554815426058},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 19, 849000),\n",
- " 'worker': 8,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15316.43445909589},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 382000),\n",
- " 'worker': 0,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15931.767571476821},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 420000),\n",
- " 'worker': 5,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15532.023378075712},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 523000),\n",
- " 'worker': 9,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15182.326272203387},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 545000),\n",
- " 'worker': 4,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15992.144134516864},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 653000),\n",
- " 'worker': 2,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15948.179868074802},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 854000),\n",
- " 'worker': 3,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16698.55512123499},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 867000),\n",
- " 'worker': 6,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15737.678737800343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 20, 870000),\n",
- " 'worker': 7,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16180.902687655534},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 99000),\n",
- " 'worker': 5,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15522.1739409343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 111000),\n",
- " 'worker': 8,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15415.186441688731},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 115000),\n",
- " 'worker': 1,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15611.885500014081},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 208000),\n",
- " 'worker': 4,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15870.803780938573},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 562000),\n",
- " 'worker': 0,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15149.982360435166},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 773000),\n",
- " 'worker': 9,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15175.194651961283},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 774000),\n",
- " 'worker': 5,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15479.452140178499},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 867000),\n",
- " 'worker': 4,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15683.571040993067},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 21, 905000),\n",
- " 'worker': 2,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15285.330433802024},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 117000),\n",
- " 'worker': 3,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16140.718106173423},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 131000),\n",
- " 'worker': 6,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15532.23903357282},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 137000),\n",
- " 'worker': 7,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16454.16864218011},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 361000),\n",
- " 'worker': 8,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15451.09375070572},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 374000),\n",
- " 'worker': 1,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -14953.309532478948},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 474000),\n",
- " 'worker': 5,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15659.15259443666},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 582000),\n",
- " 'worker': 4,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15869.087172295838},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 22, 837000),\n",
- " 'worker': 0,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15417.420509588284},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 35000),\n",
- " 'worker': 9,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14755.133509144218},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 134000),\n",
- " 'worker': 5,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 169000),\n",
- " 'worker': 2,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15646.531721637635},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 274000),\n",
- " 'worker': 4,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15210.315534893452},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 372000),\n",
- " 'worker': 3,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15694.77409965568},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 378000),\n",
- " 'worker': 7,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15259.729176088413},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 393000),\n",
- " 'worker': 6,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -17056.42671837105},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 623000),\n",
- " 'worker': 8,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14753.192978629439},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 23, 646000),\n",
- " 'worker': 1,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15288.147896117103},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 105000),\n",
- " 'worker': 4,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15060.603210355042},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 114000),\n",
- " 'worker': 0,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15007.5508773021},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 205000),\n",
- " 'worker': 5,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14938.424693950374},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 290000),\n",
- " 'worker': 7,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15771.680706420595},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 293000),\n",
- " 'worker': 9,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14976.114071536189},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 431000),\n",
- " 'worker': 2,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15400.307210930276},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 643000),\n",
- " 'worker': 3,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15905.972572862838},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 675000),\n",
- " 'worker': 6,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -16446.158550232558},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 876000),\n",
- " 'worker': 8,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14781.142456953165},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 24, 914000),\n",
- " 'worker': 1,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -14981.672242306711},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 20000),\n",
- " 'worker': 7,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -16164.260679369723},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 44000),\n",
- " 'worker': 4,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15069.41761792247},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 403000),\n",
- " 'worker': 0,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14876.118543452645},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 458000),\n",
- " 'worker': 5,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14961.285575467244},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 572000),\n",
- " 'worker': 9,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14863.556266989302},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 705000),\n",
- " 'worker': 2,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14977.415942610598},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 904000),\n",
- " 'worker': 3,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -14993.584839523564},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 906000),\n",
- " 'worker': 7,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15141.475802739613},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 25, 944000),\n",
- " 'worker': 6,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -16009.08750955859},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 145000),\n",
- " 'worker': 8,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14827.099904866538},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 194000),\n",
- " 'worker': 4,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15116.224925495997},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 202000),\n",
- " 'worker': 1,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15149.029029083624},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 686000),\n",
- " 'worker': 0,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14758.523310234728},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 725000),\n",
- " 'worker': 5,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14781.142456953165},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 830000),\n",
- " 'worker': 9,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14758.523310234728},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 26, 960000),\n",
- " 'worker': 2,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14813.046812753024},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 61000),\n",
- " 'worker': 7,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15340.860844544492},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 170000),\n",
- " 'worker': 3,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15305.374336482708},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 226000),\n",
- " 'worker': 6,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15573.850829771378},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 309000),\n",
- " 'worker': 4,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -15004.196963177967},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 445000),\n",
- " 'worker': 8,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14968.808339959272},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 465000),\n",
- " 'worker': 1,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15189.679227108176},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 972000),\n",
- " 'worker': 0,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 27, 982000),\n",
- " 'worker': 5,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 158000),\n",
- " 'worker': 9,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -15026.706407974296},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 257000),\n",
- " 'worker': 2,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 341000),\n",
- " 'worker': 4,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14739.612188053427},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 368000),\n",
- " 'worker': 7,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15327.626863056204},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 441000),\n",
- " 'worker': 3,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15100.949728117137},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 491000),\n",
- " 'worker': 6,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -14909.17876099893},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 750000),\n",
- " 'worker': 1,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15309.029815268066},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 28, 765000),\n",
- " 'worker': 8,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14900.16872092433},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 232000),\n",
- " 'worker': 0,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 250000),\n",
- " 'worker': 5,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14767.359551554202},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 411000),\n",
- " 'worker': 9,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 412000),\n",
- " 'worker': 4,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 521000),\n",
- " 'worker': 2,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 655000),\n",
- " 'worker': 7,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15470.913319339978},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 704000),\n",
- " 'worker': 3,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 29, 759000),\n",
- " 'worker': 6,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14818.384022705113},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 11000),\n",
- " 'worker': 1,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14939.247773294534},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 64000),\n",
- " 'worker': 8,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 501000),\n",
- " 'worker': 0,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 504000),\n",
- " 'worker': 5,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 676000),\n",
- " 'worker': 9,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 693000),\n",
- " 'worker': 4,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 782000),\n",
- " 'worker': 2,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 956000),\n",
- " 'worker': 7,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15019.728235593766},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 30, 958000),\n",
- " 'worker': 3,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15374.657983398703},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 16000),\n",
- " 'worker': 6,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15025.874342597837},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 278000),\n",
- " 'worker': 1,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 326000),\n",
- " 'worker': 8,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 755000),\n",
- " 'worker': 0,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 765000),\n",
- " 'worker': 5,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 931000),\n",
- " 'worker': 9,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 31, 946000),\n",
- " 'worker': 4,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 31000),\n",
- " 'worker': 2,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 203000),\n",
- " 'worker': 7,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -15131.743534205201},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 221000),\n",
- " 'worker': 3,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15436.793571633094},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 282000),\n",
- " 'worker': 6,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14855.72679572798},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 535000),\n",
- " 'worker': 1,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14827.099904866538},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 32, 578000),\n",
- " 'worker': 8,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 22000),\n",
- " 'worker': 0,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 23000),\n",
- " 'worker': 5,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 195000),\n",
- " 'worker': 9,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 210000),\n",
- " 'worker': 4,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14739.612188053427},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 293000),\n",
- " 'worker': 2,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 464000),\n",
- " 'worker': 7,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14902.507624188043},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 476000),\n",
- " 'worker': 3,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 539000),\n",
- " 'worker': 6,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -15015.681704727132},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 801000),\n",
- " 'worker': 1,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 33, 841000),\n",
- " 'worker': 8,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 276000),\n",
- " 'worker': 0,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 285000),\n",
- " 'worker': 5,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 458000),\n",
- " 'worker': 9,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 474000),\n",
- " 'worker': 4,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 538000),\n",
- " 'worker': 2,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 719000),\n",
- " 'worker': 7,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14865.21908397404},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 735000),\n",
- " 'worker': 3,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14778.1362419798},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 806000),\n",
- " 'worker': 6,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14890.36011820834},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 34, 901000),\n",
- " 'worker': 1,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 94000),\n",
- " 'worker': 8,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 305000),\n",
- " 'worker': 9,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 538000),\n",
- " 'worker': 5,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 542000),\n",
- " 'worker': 0,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 542000),\n",
- " 'worker': 4,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 800000),\n",
- " 'worker': 2,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 983000),\n",
- " 'worker': 3,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14758.523310234728},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 35, 987000),\n",
- " 'worker': 7,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 65000),\n",
- " 'worker': 6,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 77000),\n",
- " 'worker': 9,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 161000),\n",
- " 'worker': 1,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 361000),\n",
- " 'worker': 8,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 719000),\n",
- " 'worker': 4,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 802000),\n",
- " 'worker': 5,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 815000),\n",
- " 'worker': 0,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 36, 877000),\n",
- " 'worker': 9,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 49000),\n",
- " 'worker': 2,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 244000),\n",
- " 'worker': 3,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 278000),\n",
- " 'worker': 7,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 331000),\n",
- " 'worker': 6,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 414000),\n",
- " 'worker': 1,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 617000),\n",
- " 'worker': 8,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 618000),\n",
- " 'worker': 9,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 37, 895000),\n",
- " 'worker': 4,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 58000),\n",
- " 'worker': 5,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 77000),\n",
- " 'worker': 0,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 308000),\n",
- " 'worker': 2,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 492000),\n",
- " 'worker': 3,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 545000),\n",
- " 'worker': 7,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 586000),\n",
- " 'worker': 6,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14767.359551554202},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 679000),\n",
- " 'worker': 1,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 878000),\n",
- " 'worker': 8,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 38, 910000),\n",
- " 'worker': 4,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 324000),\n",
- " 'worker': 0,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 556000),\n",
- " 'worker': 2,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 749000),\n",
- " 'worker': 3,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 797000),\n",
- " 'worker': 7,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 848000),\n",
- " 'worker': 6,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14758.523310234728},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 39, 916000),\n",
- " 'worker': 1,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 70000),\n",
- " 'worker': 8,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 437000),\n",
+ "[{'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 978000),\n",
" 'worker': 2,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 481000),\n",
- " 'worker': 7,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 555000),\n",
- " 'worker': 1,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 880000),\n",
- " 'worker': 3,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 40, 931000),\n",
- " 'worker': 6,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 57000),\n",
- " 'worker': 2,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 100000),\n",
- " 'worker': 7,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 178000),\n",
- " 'worker': 1,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 517000),\n",
- " 'worker': 3,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 574000),\n",
- " 'worker': 6,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 41, 745000),\n",
- " 'worker': 7,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 42, 129000),\n",
- " 'worker': 3,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 42, 187000),\n",
- " 'worker': 6,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 42, 367000),\n",
- " 'worker': 7,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 42, 753000),\n",
- " 'worker': 3,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 42, 810000),\n",
- " 'worker': 6,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 43, 363000),\n",
- " 'worker': 3,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 18, 28, 43, 416000),\n",
- " 'worker': 6,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 305000),\n",
- " 'worker': 7,\n",
- " 'iteration': 0,\n",
- " 'fitness': -17064.948772927888},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
- " 'worker': 1,\n",
" 'iteration': 0,\n",
" 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
- " 'worker': 2,\n",
+ " {'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 978000),\n",
+ " 'worker': 8,\n",
" 'iteration': 0,\n",
- " 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
+ " 'fitness': -17394.10216261065},\n",
+ " {'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 980000),\n",
" 'worker': 0,\n",
" 'iteration': 0,\n",
- " 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
- " 'worker': 3,\n",
+ " 'fitness': -17476.383874573305},\n",
+ " {'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 980000),\n",
+ " 'worker': 1,\n",
" 'iteration': 0,\n",
" 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
+ " {'time': datetime.datetime(2019, 10, 28, 9, 59, 14, 980000),\n",
" 'worker': 4,\n",
" 'iteration': 0,\n",
- " 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
- " 'worker': 5,\n",
- " 'iteration': 0,\n",
- " 'fitness': -17536.258720447695},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 307000),\n",
- " 'worker': 6,\n",
- " 'iteration': 0,\n",
- " 'fitness': -17489.373605685694},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 308000),\n",
- " 'worker': 8,\n",
- " 'iteration': 0,\n",
- " 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 30, 308000),\n",
- " 'worker': 9,\n",
- " 'iteration': 0,\n",
- " 'fitness': -17464.568516864027},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 483000),\n",
- " 'worker': 7,\n",
- " 'iteration': 500,\n",
- " 'fitness': -20011.926080833462},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 584000),\n",
- " 'worker': 8,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18720.58237892333},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 586000),\n",
- " 'worker': 2,\n",
- " 'iteration': 500,\n",
- " 'fitness': -20221.715741201548},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 641000),\n",
- " 'worker': 6,\n",
- " 'iteration': 500,\n",
- " 'fitness': -20971.93227245418},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 650000),\n",
- " 'worker': 1,\n",
- " 'iteration': 500,\n",
- " 'fitness': -17958.557690043537},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 653000),\n",
- " 'worker': 0,\n",
- " 'iteration': 500,\n",
- " 'fitness': -19456.419361176002},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 668000),\n",
- " 'worker': 9,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18794.76060121247},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 690000),\n",
- " 'worker': 5,\n",
- " 'iteration': 500,\n",
- " 'fitness': -19179.138598606725},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 711000),\n",
- " 'worker': 3,\n",
- " 'iteration': 500,\n",
- " 'fitness': -17988.766735978654},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 31, 717000),\n",
- " 'worker': 4,\n",
- " 'iteration': 500,\n",
- " 'fitness': -18970.09109208436},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 663000),\n",
- " 'worker': 0,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19192.661068367157},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 812000),\n",
- " 'worker': 7,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -18440.462795548294},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 907000),\n",
- " 'worker': 2,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19208.61349253221},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 913000),\n",
- " 'worker': 8,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -21074.221350148688},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 967000),\n",
- " 'worker': 1,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19380.999140599124},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 977000),\n",
- " 'worker': 9,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -17994.519054935667},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 32, 979000),\n",
- " 'worker': 6,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19306.156116067286},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 33, 32000),\n",
- " 'worker': 5,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -20337.97301214875},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 33, 35000),\n",
- " 'worker': 3,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19975.76171434862},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 33, 44000),\n",
- " 'worker': 4,\n",
- " 'iteration': 1000,\n",
- " 'fitness': -19476.28521852281},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 33, 684000),\n",
- " 'worker': 0,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -21362.030853695927},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 186000),\n",
- " 'worker': 1,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -17714.641624264746},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 229000),\n",
- " 'worker': 7,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -18542.121696900136},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 233000),\n",
- " 'worker': 2,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -20058.056128897606},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 289000),\n",
- " 'worker': 8,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19942.833685138357},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 291000),\n",
- " 'worker': 9,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -17125.250461558895},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 357000),\n",
- " 'worker': 3,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -20433.11384868423},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 382000),\n",
- " 'worker': 4,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19266.8556439343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 454000),\n",
- " 'worker': 5,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -19485.148402491643},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 34, 600000),\n",
- " 'worker': 6,\n",
- " 'iteration': 1500,\n",
- " 'fitness': -18819.539234026674},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 103000),\n",
- " 'worker': 0,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19439.674465428758},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 477000),\n",
- " 'worker': 1,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19958.84007847232},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 602000),\n",
- " 'worker': 2,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19670.81172833396},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 713000),\n",
- " 'worker': 9,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -17142.009059028445},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 726000),\n",
- " 'worker': 8,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19683.9963358193},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 730000),\n",
- " 'worker': 7,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -17340.009861643404},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 762000),\n",
- " 'worker': 3,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19369.723029067667},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 863000),\n",
- " 'worker': 4,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19034.682763381767},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 35, 930000),\n",
- " 'worker': 5,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19724.425130764797},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 36, 121000),\n",
- " 'worker': 6,\n",
- " 'iteration': 2000,\n",
- " 'fitness': -19113.68657413882},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 36, 676000),\n",
- " 'worker': 0,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -19494.92220907886},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 36, 899000),\n",
- " 'worker': 1,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -17619.247219933895},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 36, 951000),\n",
- " 'worker': 8,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18733.49038445007},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 36, 967000),\n",
- " 'worker': 2,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -19275.265763427655},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 54000),\n",
- " 'worker': 9,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18403.8355946094},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 88000),\n",
- " 'worker': 3,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -19514.81650956374},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 149000),\n",
- " 'worker': 7,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18321.512123184442},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 167000),\n",
- " 'worker': 5,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -18757.70142762439},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 242000),\n",
- " 'worker': 4,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -19803.012956369163},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 469000),\n",
- " 'worker': 6,\n",
- " 'iteration': 2500,\n",
- " 'fitness': -20912.58774667283},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 37, 862000),\n",
- " 'worker': 0,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19409.258503714384},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 315000),\n",
- " 'worker': 1,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18872.173637934306},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 329000),\n",
- " 'worker': 2,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -20509.129709514265},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 348000),\n",
- " 'worker': 8,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -17321.155277579343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 421000),\n",
- " 'worker': 3,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19427.389011059782},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 467000),\n",
- " 'worker': 9,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19207.343443988215},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 480000),\n",
- " 'worker': 4,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18721.56447624704},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 518000),\n",
- " 'worker': 5,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18572.50782004681},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 531000),\n",
- " 'worker': 7,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -19691.162343454114},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 38, 731000),\n",
- " 'worker': 6,\n",
- " 'iteration': 3000,\n",
- " 'fitness': -18979.35240339668},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 191000),\n",
- " 'worker': 0,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19375.464976830353},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 562000),\n",
- " 'worker': 5,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17050.915692093513},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 634000),\n",
- " 'worker': 1,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19343.737531858267},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 656000),\n",
- " 'worker': 2,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -18634.214126420095},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 670000),\n",
- " 'worker': 8,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -17754.52887821668},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 733000),\n",
- " 'worker': 3,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19132.250603393244},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 783000),\n",
- " 'worker': 4,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19196.35892101146},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 816000),\n",
- " 'worker': 9,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19002.690919176286},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 863000),\n",
- " 'worker': 7,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19133.298070206092},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 39, 868000),\n",
- " 'worker': 6,\n",
- " 'iteration': 3500,\n",
- " 'fitness': -19757.791544465104},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 468000),\n",
- " 'worker': 0,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18553.631818438087},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 701000),\n",
- " 'worker': 5,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -16989.573092675015},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 967000),\n",
- " 'worker': 6,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18738.132464822625},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 975000),\n",
- " 'worker': 2,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18180.86838796417},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 984000),\n",
- " 'worker': 1,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18858.92834820425},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 40, 995000),\n",
- " 'worker': 8,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -16734.063130383078},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 41, 46000),\n",
- " 'worker': 3,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -17763.14484564346},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 41, 113000),\n",
- " 'worker': 4,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -18163.721019481505},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 41, 160000),\n",
- " 'worker': 9,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -19530.52326303019},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 41, 211000),\n",
- " 'worker': 7,\n",
- " 'iteration': 4000,\n",
- " 'fitness': -17672.714496294167},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 41, 331000),\n",
- " 'worker': 0,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18842.347858107038},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 12000),\n",
- " 'worker': 5,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17109.64535862546},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 130000),\n",
- " 'worker': 6,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -19746.393461068335},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 284000),\n",
- " 'worker': 2,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17870.85254780358},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 310000),\n",
- " 'worker': 8,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -16373.62611877824},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 320000),\n",
- " 'worker': 1,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -18999.185125551114},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 359000),\n",
- " 'worker': 3,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -19515.749071948336},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 396000),\n",
- " 'worker': 0,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -19347.171864885633},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 438000),\n",
- " 'worker': 4,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -17635.78592431806},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 477000),\n",
- " 'worker': 9,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -19750.17321013555},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 525000),\n",
- " 'worker': 7,\n",
- " 'iteration': 4500,\n",
- " 'fitness': -19314.5595862402},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 42, 963000),\n",
- " 'worker': 6,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17726.01705706373},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 163000),\n",
- " 'worker': 0,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18460.352807643045},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 328000),\n",
- " 'worker': 5,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17586.309577218046},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 605000),\n",
- " 'worker': 8,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -16458.461467144996},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 626000),\n",
- " 'worker': 2,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -18053.662807774603},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 633000),\n",
- " 'worker': 1,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17556.989179356522},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 665000),\n",
- " 'worker': 3,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -16565.51797668411},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 755000),\n",
- " 'worker': 6,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -18771.2540141021},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 756000),\n",
- " 'worker': 4,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -16790.05625163381},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 791000),\n",
- " 'worker': 9,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -19310.352955589842},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 840000),\n",
- " 'worker': 7,\n",
- " 'iteration': 5000,\n",
- " 'fitness': -17269.433973269734},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 43, 981000),\n",
- " 'worker': 0,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18814.96821348566},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 639000),\n",
- " 'worker': 5,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17610.98134319619},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 852000),\n",
- " 'worker': 6,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18747.634629002703},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 940000),\n",
- " 'worker': 8,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -16072.713130144652},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 941000),\n",
- " 'worker': 1,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17447.21951963203},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 950000),\n",
- " 'worker': 2,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17879.626209735092},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 44, 974000),\n",
- " 'worker': 3,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17184.11615532316},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 68000),\n",
- " 'worker': 4,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17654.84898582997},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 106000),\n",
- " 'worker': 9,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -17503.410891164338},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 160000),\n",
- " 'worker': 7,\n",
- " 'iteration': 5500,\n",
- " 'fitness': -16720.074082517604},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 198000),\n",
- " 'worker': 0,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -18298.223867411583},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 766000),\n",
- " 'worker': 5,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -18553.826194757083},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 45, 973000),\n",
- " 'worker': 1,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -16807.054548173965},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 176000),\n",
- " 'worker': 6,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -19078.385403827335},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 267000),\n",
- " 'worker': 2,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17462.57956085574},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 268000),\n",
- " 'worker': 8,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17724.567503651004},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 291000),\n",
- " 'worker': 3,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17136.71456663387},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 396000),\n",
- " 'worker': 4,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17222.7418938044},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 422000),\n",
- " 'worker': 9,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -17163.013191063783},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 486000),\n",
- " 'worker': 7,\n",
- " 'iteration': 6000,\n",
- " 'fitness': -15923.583455585313},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 534000),\n",
- " 'worker': 0,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17555.99144953487},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 594000),\n",
- " 'worker': 5,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -16095.3325939862},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 46, 758000),\n",
- " 'worker': 1,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17598.30468566638},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 362000),\n",
- " 'worker': 5,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17155.508484406248},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 494000),\n",
- " 'worker': 6,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17373.945618134694},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 543000),\n",
- " 'worker': 1,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -18716.93812649565},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 559000),\n",
- " 'worker': 2,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17132.098624244063},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 564000),\n",
- " 'worker': 8,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -16212.897757753763},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 588000),\n",
- " 'worker': 3,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -18532.2474041536},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 694000),\n",
- " 'worker': 4,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17839.708378581247},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 714000),\n",
- " 'worker': 9,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -16941.399876819683},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 780000),\n",
- " 'worker': 7,\n",
- " 'iteration': 6500,\n",
- " 'fitness': -17068.075735363327},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 47, 825000),\n",
- " 'worker': 0,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17280.01016268159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 335000),\n",
- " 'worker': 5,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16308.943529035794},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 345000),\n",
- " 'worker': 1,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17767.950488886243},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 476000),\n",
- " 'worker': 8,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -17878.68094126451},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 798000),\n",
- " 'worker': 6,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16851.996781322716},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 880000),\n",
- " 'worker': 2,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16658.854021932362},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 48, 896000),\n",
- " 'worker': 3,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16257.617448235551},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 3000),\n",
- " 'worker': 4,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16307.070462677171},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 16000),\n",
- " 'worker': 9,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16395.145359446204},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 89000),\n",
- " 'worker': 7,\n",
- " 'iteration': 7000,\n",
- " 'fitness': -16377.420100014382},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 93000),\n",
- " 'worker': 1,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -18326.355874175948},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 129000),\n",
- " 'worker': 0,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17208.764190910104},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 191000),\n",
- " 'worker': 8,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17878.188388548733},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 638000),\n",
- " 'worker': 5,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -15999.453933213032},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 827000),\n",
- " 'worker': 1,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17936.125618392205},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 49, 943000),\n",
- " 'worker': 8,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17506.631134173378},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 100000),\n",
- " 'worker': 6,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -17566.086945631425},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 176000),\n",
- " 'worker': 2,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -15570.94946286388},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 182000),\n",
- " 'worker': 3,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16553.28915763965},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 302000),\n",
- " 'worker': 4,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16501.180389660924},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 303000),\n",
- " 'worker': 9,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -16250.722025520972},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 381000),\n",
- " 'worker': 7,\n",
- " 'iteration': 7500,\n",
- " 'fitness': -17268.919774722508},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 419000),\n",
- " 'worker': 0,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17048.836849959105},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 581000),\n",
- " 'worker': 1,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -17810.016087094227},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 678000),\n",
- " 'worker': 8,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -18752.845284275703},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 50, 927000),\n",
- " 'worker': 5,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16175.607528275586},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 321000),\n",
- " 'worker': 1,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16721.142895272147},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 396000),\n",
- " 'worker': 6,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17123.34118469316},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 439000),\n",
- " 'worker': 8,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -17206.462551935492},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 480000),\n",
- " 'worker': 2,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16055.229264463589},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 481000),\n",
- " 'worker': 3,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -15971.124638912872},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 601000),\n",
- " 'worker': 9,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16750.905525795755},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 604000),\n",
- " 'worker': 4,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16221.64902996803},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 687000),\n",
- " 'worker': 7,\n",
- " 'iteration': 8000,\n",
- " 'fitness': -16168.508201710261},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 51, 718000),\n",
- " 'worker': 0,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -17309.88570310366},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 225000),\n",
- " 'worker': 5,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16630.758677893176},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 306000),\n",
- " 'worker': 1,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16458.37817939503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 341000),\n",
- " 'worker': 8,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -18115.910872797052},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 707000),\n",
- " 'worker': 6,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -18076.206333573326},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 765000),\n",
- " 'worker': 3,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16554.325053408993},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 773000),\n",
- " 'worker': 2,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -16358.06215804406},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 890000),\n",
- " 'worker': 9,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17732.5396101792},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 904000),\n",
- " 'worker': 4,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17404.41627980615},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 52, 981000),\n",
- " 'worker': 7,\n",
- " 'iteration': 8500,\n",
- " 'fitness': -17044.235539199384},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 2000),\n",
- " 'worker': 5,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16157.472136689625},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 30000),\n",
- " 'worker': 0,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15935.254778228882},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 63000),\n",
- " 'worker': 1,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15790.70127875513},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 650000),\n",
- " 'worker': 8,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -18568.583229449458},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 731000),\n",
- " 'worker': 2,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15423.7885269577},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 53, 743000),\n",
- " 'worker': 5,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15907.693594558705},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54),\n",
- " 'worker': 6,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16802.56684951041},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 60000),\n",
- " 'worker': 3,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16145.569612905003},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 188000),\n",
- " 'worker': 9,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -16435.36881207485},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 213000),\n",
- " 'worker': 4,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -15597.017179474158},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 223000),\n",
- " 'worker': 1,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15864.058756356626},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 291000),\n",
- " 'worker': 7,\n",
- " 'iteration': 9000,\n",
- " 'fitness': -17089.426146020563},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 328000),\n",
- " 'worker': 0,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15694.589651580845},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 467000),\n",
- " 'worker': 2,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15490.089700212742},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 661000),\n",
- " 'worker': 5,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15331.448882458491},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 950000),\n",
- " 'worker': 8,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -18254.79538782754},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 54, 983000),\n",
- " 'worker': 1,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15453.810944913927},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 215000),\n",
- " 'worker': 2,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15788.27615253343},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 315000),\n",
- " 'worker': 6,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15387.352075338764},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 345000),\n",
- " 'worker': 3,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16906.638018393314},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 472000),\n",
- " 'worker': 9,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16910.471933948906},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 502000),\n",
- " 'worker': 4,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -15838.845009907493},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 584000),\n",
- " 'worker': 7,\n",
- " 'iteration': 9500,\n",
- " 'fitness': -16236.663760999885},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 608000),\n",
- " 'worker': 0,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15582.878773613726},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 744000),\n",
- " 'worker': 1,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15857.712951845626},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 963000),\n",
- " 'worker': 5,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15224.34418167227},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 55, 990000),\n",
- " 'worker': 2,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15510.124537814698},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 259000),\n",
- " 'worker': 8,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -16684.797395049696},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 509000),\n",
- " 'worker': 1,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15899.290135264084},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 606000),\n",
- " 'worker': 6,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -16982.897162746085},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 643000),\n",
- " 'worker': 3,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15880.24335549858},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 726000),\n",
- " 'worker': 2,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15618.302247103386},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 769000),\n",
- " 'worker': 9,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15910.365820786265},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 803000),\n",
- " 'worker': 4,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -16076.436195135359},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 886000),\n",
- " 'worker': 7,\n",
- " 'iteration': 10000,\n",
- " 'fitness': -15601.565064812852},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 56, 900000),\n",
- " 'worker': 0,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15314.579171383004},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 250000),\n",
- " 'worker': 1,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15114.676681414347},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 252000),\n",
- " 'worker': 5,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15681.437564457789},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 554000),\n",
- " 'worker': 8,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -16874.11729892052},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 651000),\n",
- " 'worker': 2,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15088.705999484571},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 926000),\n",
- " 'worker': 3,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15500.632495571637},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 931000),\n",
- " 'worker': 6,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -16376.982856570163},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 57, 990000),\n",
- " 'worker': 1,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14758.523310234728},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 22000),\n",
- " 'worker': 5,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15581.876640395263},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 53000),\n",
- " 'worker': 9,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15936.659326834395},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 94000),\n",
- " 'worker': 4,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -16394.41556159084},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 179000),\n",
- " 'worker': 0,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -14942.449992115211},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 190000),\n",
- " 'worker': 7,\n",
- " 'iteration': 10500,\n",
- " 'fitness': -15356.809574891702},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 748000),\n",
- " 'worker': 5,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15276.710353852186},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 766000),\n",
- " 'worker': 1,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15162.08405060763},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 854000),\n",
- " 'worker': 8,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15741.267175116936},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 58, 946000),\n",
- " 'worker': 2,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15368.482505196353},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 221000),\n",
- " 'worker': 6,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15691.10227685781},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 222000),\n",
- " 'worker': 3,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15197.534159786483},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 346000),\n",
- " 'worker': 9,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15246.633563963847},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 391000),\n",
- " 'worker': 4,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15207.373029629109},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 467000),\n",
- " 'worker': 0,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15471.335261220765},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 488000),\n",
- " 'worker': 7,\n",
- " 'iteration': 11000,\n",
- " 'fitness': -15123.146456093333},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 495000),\n",
- " 'worker': 5,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15369.523244430631},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 32, 59, 496000),\n",
- " 'worker': 1,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14703.30465175159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 141000),\n",
- " 'worker': 8,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15978.29558113683},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 202000),\n",
- " 'worker': 5,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15210.248129074906},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 228000),\n",
- " 'worker': 2,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15070.932598973135},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 236000),\n",
- " 'worker': 1,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 501000),\n",
- " 'worker': 3,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15417.87854337438},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 513000),\n",
- " 'worker': 6,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15497.453865796844},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 622000),\n",
- " 'worker': 9,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15256.022958715765},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 674000),\n",
- " 'worker': 4,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -15448.106606929205},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 743000),\n",
- " 'worker': 0,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -14977.106397283767},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 775000),\n",
- " 'worker': 7,\n",
- " 'iteration': 11500,\n",
- " 'fitness': -16115.80710224294},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 945000),\n",
- " 'worker': 1,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14753.192978629439},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 0, 951000),\n",
- " 'worker': 5,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14993.717806464269},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 441000),\n",
- " 'worker': 8,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15566.600288230786},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 518000),\n",
- " 'worker': 2,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15120.200192040631},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 685000),\n",
- " 'worker': 4,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -14893.816656932617},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 698000),\n",
- " 'worker': 1,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 797000),\n",
- " 'worker': 3,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15697.580890996342},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 806000),\n",
- " 'worker': 6,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15437.324954281872},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 1, 923000),\n",
- " 'worker': 9,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -14985.884198039563},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 33000),\n",
- " 'worker': 0,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14954.236485580337},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 45000),\n",
- " 'worker': 5,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14798.207889316744},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 79000),\n",
- " 'worker': 7,\n",
- " 'iteration': 12000,\n",
- " 'fitness': -15218.980965385977},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 720000),\n",
- " 'worker': 8,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15307.30604779866},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 750000),\n",
- " 'worker': 1,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14772.059055189866},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 810000),\n",
- " 'worker': 2,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15509.930069578795},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 2, 842000),\n",
- " 'worker': 4,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15078.39977289335},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 83000),\n",
- " 'worker': 3,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15258.335326596824},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 119000),\n",
- " 'worker': 6,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14848.550016511359},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 218000),\n",
- " 'worker': 9,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 314000),\n",
- " 'worker': 0,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14762.142170684896},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 350000),\n",
- " 'worker': 5,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 3, 376000),\n",
- " 'worker': 7,\n",
- " 'iteration': 12500,\n",
- " 'fitness': -15026.934771143106},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 19000),\n",
- " 'worker': 8,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 39000),\n",
- " 'worker': 1,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 104000),\n",
- " 'worker': 2,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 139000),\n",
- " 'worker': 4,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14909.800865024245},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 378000),\n",
- " 'worker': 3,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15115.91350339263},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 400000),\n",
- " 'worker': 6,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15039.58557529451},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 515000),\n",
- " 'worker': 9,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -14822.625860493024},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 605000),\n",
- " 'worker': 0,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14932.523831654122},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 638000),\n",
- " 'worker': 5,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 4, 681000),\n",
- " 'worker': 7,\n",
- " 'iteration': 13000,\n",
- " 'fitness': -15166.683262976208},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 311000),\n",
- " 'worker': 8,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 320000),\n",
- " 'worker': 1,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 394000),\n",
- " 'worker': 2,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 439000),\n",
- " 'worker': 4,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15057.5152032743},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 634000),\n",
- " 'worker': 9,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15013.715132067427},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 663000),\n",
- " 'worker': 3,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -14759.146412767077},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 698000),\n",
- " 'worker': 5,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 705000),\n",
- " 'worker': 6,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14873.687469365803},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 896000),\n",
- " 'worker': 0,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14978.652512051753},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 5, 996000),\n",
- " 'worker': 7,\n",
- " 'iteration': 13500,\n",
- " 'fitness': -15395.233923017795},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 517000),\n",
- " 'worker': 9,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14797.257897943533},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 575000),\n",
- " 'worker': 5,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 611000),\n",
- " 'worker': 8,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 613000),\n",
- " 'worker': 1,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 691000),\n",
- " 'worker': 2,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14784.610965075099},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 741000),\n",
- " 'worker': 4,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -15147.438375322876},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 960000),\n",
- " 'worker': 3,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14964.296601131206},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 6, 994000),\n",
- " 'worker': 6,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14805.06948647775},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 272000),\n",
- " 'worker': 0,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -15018.371309111777},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 322000),\n",
- " 'worker': 7,\n",
- " 'iteration': 14000,\n",
- " 'fitness': -14939.804035587642},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 476000),\n",
- " 'worker': 9,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14895.606254501257},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 808000),\n",
- " 'worker': 5,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 898000),\n",
- " 'worker': 1,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 902000),\n",
- " 'worker': 8,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14958.4987562011},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 7, 981000),\n",
- " 'worker': 2,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14766.30773587518},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 40000),\n",
- " 'worker': 4,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -15076.754837130193},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 103000),\n",
- " 'worker': 7,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14912.056192855927},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 280000),\n",
- " 'worker': 3,\n",
- " 'iteration': 14500,\n",
- " 'fitness': -14767.679364469022},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 288000),\n",
- " 'worker': 9,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14986.75304537988},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 296000),\n",
- " 'worker': 6,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14964.408288222712},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 8, 554000),\n",
- " 'worker': 0,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14986.892588150418},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 24000),\n",
- " 'worker': 7,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 99000),\n",
- " 'worker': 5,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 165000),\n",
- " 'worker': 9,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 190000),\n",
- " 'worker': 1,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 203000),\n",
- " 'worker': 8,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 279000),\n",
- " 'worker': 2,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14761.868065704366},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 340000),\n",
- " 'worker': 4,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14877.657337982304},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 582000),\n",
- " 'worker': 3,\n",
- " 'iteration': 15000,\n",
- " 'fitness': -14739.612188053427},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 585000),\n",
- " 'worker': 6,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14991.71033865808},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 849000),\n",
- " 'worker': 0,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 864000),\n",
- " 'worker': 7,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 9, 995000),\n",
- " 'worker': 9,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 395000),\n",
- " 'worker': 5,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 485000),\n",
- " 'worker': 1,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 501000),\n",
- " 'worker': 8,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14766.30773587518},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 563000),\n",
- " 'worker': 2,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14771.903569422147},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 619000),\n",
- " 'worker': 7,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14919.68053225613},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 626000),\n",
- " 'worker': 4,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 743000),\n",
- " 'worker': 9,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 869000),\n",
- " 'worker': 3,\n",
- " 'iteration': 15500,\n",
- " 'fitness': -14797.42321524005},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 10, 877000),\n",
- " 'worker': 6,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 122000),\n",
- " 'worker': 0,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 485000),\n",
- " 'worker': 5,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 491000),\n",
- " 'worker': 7,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14808.607142582212},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 510000),\n",
- " 'worker': 9,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 792000),\n",
- " 'worker': 8,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 849000),\n",
- " 'worker': 2,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 11, 917000),\n",
- " 'worker': 4,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 155000),\n",
- " 'worker': 6,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 163000),\n",
- " 'worker': 3,\n",
- " 'iteration': 16000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 254000),\n",
- " 'worker': 9,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 409000),\n",
- " 'worker': 0,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 447000),\n",
- " 'worker': 5,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 748000),\n",
- " 'worker': 8,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14703.30465175159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 12, 794000),\n",
- " 'worker': 7,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 67000),\n",
- " 'worker': 9,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 135000),\n",
- " 'worker': 2,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 204000),\n",
- " 'worker': 4,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14703.30465175159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 430000),\n",
- " 'worker': 5,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 452000),\n",
- " 'worker': 6,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14700.923210187424},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 452000),\n",
- " 'worker': 3,\n",
- " 'iteration': 16500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 559000),\n",
- " 'worker': 8,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 691000),\n",
- " 'worker': 0,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 13, 918000),\n",
- " 'worker': 9,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 81000),\n",
- " 'worker': 7,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 345000),\n",
- " 'worker': 8,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 429000),\n",
- " 'worker': 2,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 502000),\n",
- " 'worker': 4,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14703.30465175159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 660000),\n",
- " 'worker': 9,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 731000),\n",
- " 'worker': 6,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 743000),\n",
- " 'worker': 3,\n",
- " 'iteration': 17000,\n",
- " 'fitness': -14698.864981580778},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 14, 976000),\n",
- " 'worker': 0,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 20000),\n",
- " 'worker': 8,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 356000),\n",
- " 'worker': 9,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 373000),\n",
- " 'worker': 7,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 448000),\n",
- " 'worker': 2,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 596000),\n",
- " 'worker': 6,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14696.82992865629},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 695000),\n",
- " 'worker': 8,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 15, 778000),\n",
- " 'worker': 4,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14703.30465175159},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 16000),\n",
- " 'worker': 3,\n",
- " 'iteration': 17500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 128000),\n",
- " 'worker': 2,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 248000),\n",
- " 'worker': 0,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 274000),\n",
- " 'worker': 6,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 532000),\n",
- " 'worker': 7,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14689.84155926745},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 662000),\n",
- " 'worker': 4,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 786000),\n",
- " 'worker': 2,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 868000),\n",
- " 'worker': 3,\n",
- " 'iteration': 18000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 909000),\n",
- " 'worker': 0,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 16, 947000),\n",
- " 'worker': 6,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 231000),\n",
- " 'worker': 7,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 320000),\n",
- " 'worker': 4,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 524000),\n",
- " 'worker': 3,\n",
- " 'iteration': 18500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 581000),\n",
- " 'worker': 0,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 605000),\n",
- " 'worker': 6,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 878000),\n",
- " 'worker': 7,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 17, 996000),\n",
- " 'worker': 4,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 18, 173000),\n",
- " 'worker': 3,\n",
- " 'iteration': 19000,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 18, 642000),\n",
- " 'worker': 4,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503},\n",
- " {'time': datetime.datetime(2018, 12, 5, 19, 33, 18, 817000),\n",
- " 'worker': 3,\n",
- " 'iteration': 19500,\n",
- " 'fitness': -14681.308607565503}]"
+ " 'fitness': -17464.568516864027}]"
]
},
- "execution_count": 47,
+ "execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parsed = [log_parse(line) for line in open('cipher.log')]\n",
- "parsed[10:]"
+ "parsed[:5]"
]
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 58,
"metadata": {
"scrolled": true
},
" <th rowspan=\"30\" valign=\"top\">0</th>\n",
" <th>0</th>\n",
" <td>-17464.568517</td>\n",
- " <td>2018-12-05 19:32:30.307</td>\n",
+ " <td>2019-10-28 10:14:21.136</td>\n",
" </tr>\n",
" <tr>\n",
" <th>500</th>\n",
- " <td>-19456.419361</td>\n",
- " <td>2018-12-05 19:32:31.653</td>\n",
+ " <td>-18531.679762</td>\n",
+ " <td>2019-10-28 10:14:22.493</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1000</th>\n",
- " <td>-19192.661068</td>\n",
- " <td>2018-12-05 19:32:32.663</td>\n",
+ " <td>-20903.487109</td>\n",
+ " <td>2019-10-28 10:14:23.787</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1500</th>\n",
- " <td>-21362.030854</td>\n",
- " <td>2018-12-05 19:32:33.684</td>\n",
+ " <td>-19941.571807</td>\n",
+ " <td>2019-10-28 10:14:25.084</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2000</th>\n",
- " <td>-19439.674465</td>\n",
- " <td>2018-12-05 19:32:35.103</td>\n",
+ " <td>-18871.699801</td>\n",
+ " <td>2019-10-28 10:14:26.133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2500</th>\n",
- " <td>-19494.922209</td>\n",
- " <td>2018-12-05 19:32:36.676</td>\n",
+ " <td>-18847.246876</td>\n",
+ " <td>2019-10-28 10:14:27.408</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3000</th>\n",
- " <td>-19409.258504</td>\n",
- " <td>2018-12-05 19:32:37.862</td>\n",
+ " <td>-19111.386196</td>\n",
+ " <td>2019-10-28 10:14:28.707</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3500</th>\n",
- " <td>-19375.464977</td>\n",
- " <td>2018-12-05 19:32:39.191</td>\n",
+ " <td>-19693.452817</td>\n",
+ " <td>2019-10-28 10:14:29.835</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4000</th>\n",
- " <td>-18553.631818</td>\n",
- " <td>2018-12-05 19:32:40.468</td>\n",
+ " <td>-18959.289175</td>\n",
+ " <td>2019-10-28 10:14:31.228</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4500</th>\n",
- " <td>-18842.347858</td>\n",
- " <td>2018-12-05 19:32:41.331</td>\n",
+ " <td>-19040.556583</td>\n",
+ " <td>2019-10-28 10:14:32.569</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5000</th>\n",
- " <td>-19347.171865</td>\n",
- " <td>2018-12-05 19:32:42.396</td>\n",
+ " <td>-18169.812374</td>\n",
+ " <td>2019-10-28 10:14:33.891</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5500</th>\n",
- " <td>-18460.352808</td>\n",
- " <td>2018-12-05 19:32:43.163</td>\n",
+ " <td>-16657.860123</td>\n",
+ " <td>2019-10-28 10:14:35.200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6000</th>\n",
- " <td>-18814.968213</td>\n",
- " <td>2018-12-05 19:32:43.981</td>\n",
+ " <td>-16220.268468</td>\n",
+ " <td>2019-10-28 10:14:36.485</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6500</th>\n",
- " <td>-18298.223867</td>\n",
- " <td>2018-12-05 19:32:45.198</td>\n",
+ " <td>-16472.952274</td>\n",
+ " <td>2019-10-28 10:14:37.784</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7000</th>\n",
- " <td>-17555.991450</td>\n",
- " <td>2018-12-05 19:32:46.534</td>\n",
+ " <td>-17046.418912</td>\n",
+ " <td>2019-10-28 10:14:39.054</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7500</th>\n",
- " <td>-17280.010163</td>\n",
- " <td>2018-12-05 19:32:47.825</td>\n",
+ " <td>-17320.865489</td>\n",
+ " <td>2019-10-28 10:14:40.343</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8000</th>\n",
- " <td>-17208.764191</td>\n",
- " <td>2018-12-05 19:32:49.129</td>\n",
+ " <td>-16438.413488</td>\n",
+ " <td>2019-10-28 10:14:41.622</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8500</th>\n",
- " <td>-17048.836850</td>\n",
- " <td>2018-12-05 19:32:50.419</td>\n",
+ " <td>-16116.768242</td>\n",
+ " <td>2019-10-28 10:14:42.893</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9000</th>\n",
- " <td>-17309.885703</td>\n",
- " <td>2018-12-05 19:32:51.718</td>\n",
+ " <td>-16085.659977</td>\n",
+ " <td>2019-10-28 10:14:44.167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9500</th>\n",
- " <td>-15935.254778</td>\n",
- " <td>2018-12-05 19:32:53.030</td>\n",
+ " <td>-15679.574171</td>\n",
+ " <td>2019-10-28 10:14:45.405</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10000</th>\n",
- " <td>-15694.589652</td>\n",
- " <td>2018-12-05 19:32:54.328</td>\n",
+ " <td>-16473.325447</td>\n",
+ " <td>2019-10-28 10:14:46.650</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10500</th>\n",
- " <td>-15582.878774</td>\n",
- " <td>2018-12-05 19:32:55.608</td>\n",
+ " <td>-16421.027387</td>\n",
+ " <td>2019-10-28 10:14:48.070</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11000</th>\n",
- " <td>-15314.579171</td>\n",
- " <td>2018-12-05 19:32:56.900</td>\n",
+ " <td>-16167.752107</td>\n",
+ " <td>2019-10-28 10:14:49.371</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11500</th>\n",
- " <td>-14942.449992</td>\n",
- " <td>2018-12-05 19:32:58.179</td>\n",
+ " <td>-15213.074262</td>\n",
+ " <td>2019-10-28 10:14:50.686</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12000</th>\n",
- " <td>-15471.335261</td>\n",
- " <td>2018-12-05 19:32:59.467</td>\n",
+ " <td>-15634.979337</td>\n",
+ " <td>2019-10-28 10:14:51.967</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12500</th>\n",
- " <td>-14977.106397</td>\n",
- " <td>2018-12-05 19:33:00.743</td>\n",
+ " <td>-15296.397297</td>\n",
+ " <td>2019-10-28 10:14:52.824</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13000</th>\n",
- " <td>-14954.236486</td>\n",
- " <td>2018-12-05 19:33:02.033</td>\n",
+ " <td>-15025.983510</td>\n",
+ " <td>2019-10-28 10:14:53.881</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13500</th>\n",
- " <td>-14762.142171</td>\n",
- " <td>2018-12-05 19:33:03.314</td>\n",
+ " <td>-15175.912750</td>\n",
+ " <td>2019-10-28 10:14:54.871</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14000</th>\n",
- " <td>-14932.523832</td>\n",
- " <td>2018-12-05 19:33:04.605</td>\n",
+ " <td>-15235.513700</td>\n",
+ " <td>2019-10-28 10:14:56.119</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14500</th>\n",
- " <td>-14978.652512</td>\n",
- " <td>2018-12-05 19:33:05.896</td>\n",
+ " <td>-14923.520462</td>\n",
+ " <td>2019-10-28 10:14:57.339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <tr>\n",
" <th rowspan=\"30\" valign=\"top\">9</th>\n",
" <th>5000</th>\n",
- " <td>-19310.352956</td>\n",
- " <td>2018-12-05 19:32:43.791</td>\n",
+ " <td>-19218.644968</td>\n",
+ " <td>2019-10-28 10:14:34.337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5500</th>\n",
- " <td>-17503.410891</td>\n",
- " <td>2018-12-05 19:32:45.106</td>\n",
+ " <td>-18770.828622</td>\n",
+ " <td>2019-10-28 10:14:35.625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6000</th>\n",
- " <td>-17163.013191</td>\n",
- " <td>2018-12-05 19:32:46.422</td>\n",
+ " <td>-18390.233128</td>\n",
+ " <td>2019-10-28 10:14:36.920</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6500</th>\n",
- " <td>-16941.399877</td>\n",
- " <td>2018-12-05 19:32:47.714</td>\n",
+ " <td>-17361.547211</td>\n",
+ " <td>2019-10-28 10:14:38.208</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7000</th>\n",
- " <td>-16395.145359</td>\n",
- " <td>2018-12-05 19:32:49.016</td>\n",
+ " <td>-16846.113490</td>\n",
+ " <td>2019-10-28 10:14:39.501</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7500</th>\n",
- " <td>-16250.722026</td>\n",
- " <td>2018-12-05 19:32:50.303</td>\n",
+ " <td>-15002.318165</td>\n",
+ " <td>2019-10-28 10:14:40.762</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8000</th>\n",
- " <td>-16750.905526</td>\n",
- " <td>2018-12-05 19:32:51.601</td>\n",
+ " <td>-16992.780932</td>\n",
+ " <td>2019-10-28 10:14:41.757</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8500</th>\n",
- " <td>-17732.539610</td>\n",
- " <td>2018-12-05 19:32:52.890</td>\n",
+ " <td>-17115.242295</td>\n",
+ " <td>2019-10-28 10:14:43.037</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9000</th>\n",
- " <td>-16435.368812</td>\n",
- " <td>2018-12-05 19:32:54.188</td>\n",
+ " <td>-17297.012437</td>\n",
+ " <td>2019-10-28 10:14:44.327</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9500</th>\n",
- " <td>-16910.471934</td>\n",
- " <td>2018-12-05 19:32:55.472</td>\n",
+ " <td>-16511.948405</td>\n",
+ " <td>2019-10-28 10:14:45.552</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10000</th>\n",
- " <td>-15910.365821</td>\n",
- " <td>2018-12-05 19:32:56.769</td>\n",
+ " <td>-16175.059178</td>\n",
+ " <td>2019-10-28 10:14:46.828</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10500</th>\n",
- " <td>-15936.659327</td>\n",
- " <td>2018-12-05 19:32:58.053</td>\n",
+ " <td>-15482.711195</td>\n",
+ " <td>2019-10-28 10:14:48.096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11000</th>\n",
- " <td>-15246.633564</td>\n",
- " <td>2018-12-05 19:32:59.346</td>\n",
+ " <td>-15190.359782</td>\n",
+ " <td>2019-10-28 10:14:49.376</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11500</th>\n",
- " <td>-15256.022959</td>\n",
- " <td>2018-12-05 19:33:00.622</td>\n",
+ " <td>-15776.667896</td>\n",
+ " <td>2019-10-28 10:14:50.523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12000</th>\n",
- " <td>-14985.884198</td>\n",
- " <td>2018-12-05 19:33:01.923</td>\n",
+ " <td>-15112.798387</td>\n",
+ " <td>2019-10-28 10:14:51.327</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12500</th>\n",
- " <td>-14689.841559</td>\n",
- " <td>2018-12-05 19:33:03.218</td>\n",
+ " <td>-15539.267169</td>\n",
+ " <td>2019-10-28 10:14:52.194</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13000</th>\n",
- " <td>-14822.625860</td>\n",
- " <td>2018-12-05 19:33:04.515</td>\n",
+ " <td>-15209.937930</td>\n",
+ " <td>2019-10-28 10:14:52.907</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13500</th>\n",
- " <td>-15013.715132</td>\n",
- " <td>2018-12-05 19:33:05.634</td>\n",
+ " <td>-14917.833732</td>\n",
+ " <td>2019-10-28 10:14:53.804</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14000</th>\n",
- " <td>-14797.257898</td>\n",
- " <td>2018-12-05 19:33:06.517</td>\n",
+ " <td>-14822.068093</td>\n",
+ " <td>2019-10-28 10:14:54.706</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14500</th>\n",
- " <td>-14895.606255</td>\n",
- " <td>2018-12-05 19:33:07.476</td>\n",
+ " <td>-14996.772583</td>\n",
+ " <td>2019-10-28 10:14:55.742</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15000</th>\n",
- " <td>-14986.753045</td>\n",
- " <td>2018-12-05 19:33:08.288</td>\n",
+ " <td>-14818.384023</td>\n",
+ " <td>2019-10-28 10:14:57.001</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15500</th>\n",
- " <td>-14696.829929</td>\n",
- " <td>2018-12-05 19:33:09.165</td>\n",
+ " <td>-14698.864982</td>\n",
+ " <td>2019-10-28 10:14:58.250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16000</th>\n",
- " <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:09.995</td>\n",
+ " <td>-14689.841559</td>\n",
+ " <td>2019-10-28 10:14:59.546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16500</th>\n",
- " <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:10.743</td>\n",
+ " <td>-14698.864982</td>\n",
+ " <td>2019-10-28 10:15:00.651</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17000</th>\n",
- " <td>-14689.841559</td>\n",
- " <td>2018-12-05 19:33:11.510</td>\n",
+ " <td>-14681.308608</td>\n",
+ " <td>2019-10-28 10:15:01.702</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17500</th>\n",
- " <td>-14700.923210</td>\n",
- " <td>2018-12-05 19:33:12.254</td>\n",
+ " <td>-14681.308608</td>\n",
+ " <td>2019-10-28 10:15:02.920</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18000</th>\n",
" <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:13.067</td>\n",
+ " <td>2019-10-28 10:15:04.255</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18500</th>\n",
" <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:13.918</td>\n",
+ " <td>2019-10-28 10:15:05.523</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19000</th>\n",
" <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:14.660</td>\n",
+ " <td>2019-10-28 10:15:06.791</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19500</th>\n",
" <td>-14681.308608</td>\n",
- " <td>2018-12-05 19:33:15.356</td>\n",
+ " <td>2019-10-28 10:15:08.055</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"text/plain": [
" fitness time\n",
"worker iteration \n",
- "0 0 -17464.568517 2018-12-05 19:32:30.307\n",
- " 500 -19456.419361 2018-12-05 19:32:31.653\n",
- " 1000 -19192.661068 2018-12-05 19:32:32.663\n",
- " 1500 -21362.030854 2018-12-05 19:32:33.684\n",
- " 2000 -19439.674465 2018-12-05 19:32:35.103\n",
- " 2500 -19494.922209 2018-12-05 19:32:36.676\n",
- " 3000 -19409.258504 2018-12-05 19:32:37.862\n",
- " 3500 -19375.464977 2018-12-05 19:32:39.191\n",
- " 4000 -18553.631818 2018-12-05 19:32:40.468\n",
- " 4500 -18842.347858 2018-12-05 19:32:41.331\n",
- " 5000 -19347.171865 2018-12-05 19:32:42.396\n",
- " 5500 -18460.352808 2018-12-05 19:32:43.163\n",
- " 6000 -18814.968213 2018-12-05 19:32:43.981\n",
- " 6500 -18298.223867 2018-12-05 19:32:45.198\n",
- " 7000 -17555.991450 2018-12-05 19:32:46.534\n",
- " 7500 -17280.010163 2018-12-05 19:32:47.825\n",
- " 8000 -17208.764191 2018-12-05 19:32:49.129\n",
- " 8500 -17048.836850 2018-12-05 19:32:50.419\n",
- " 9000 -17309.885703 2018-12-05 19:32:51.718\n",
- " 9500 -15935.254778 2018-12-05 19:32:53.030\n",
- " 10000 -15694.589652 2018-12-05 19:32:54.328\n",
- " 10500 -15582.878774 2018-12-05 19:32:55.608\n",
- " 11000 -15314.579171 2018-12-05 19:32:56.900\n",
- " 11500 -14942.449992 2018-12-05 19:32:58.179\n",
- " 12000 -15471.335261 2018-12-05 19:32:59.467\n",
- " 12500 -14977.106397 2018-12-05 19:33:00.743\n",
- " 13000 -14954.236486 2018-12-05 19:33:02.033\n",
- " 13500 -14762.142171 2018-12-05 19:33:03.314\n",
- " 14000 -14932.523832 2018-12-05 19:33:04.605\n",
- " 14500 -14978.652512 2018-12-05 19:33:05.896\n",
+ "0 0 -17464.568517 2019-10-28 10:14:21.136\n",
+ " 500 -18531.679762 2019-10-28 10:14:22.493\n",
+ " 1000 -20903.487109 2019-10-28 10:14:23.787\n",
+ " 1500 -19941.571807 2019-10-28 10:14:25.084\n",
+ " 2000 -18871.699801 2019-10-28 10:14:26.133\n",
+ " 2500 -18847.246876 2019-10-28 10:14:27.408\n",
+ " 3000 -19111.386196 2019-10-28 10:14:28.707\n",
+ " 3500 -19693.452817 2019-10-28 10:14:29.835\n",
+ " 4000 -18959.289175 2019-10-28 10:14:31.228\n",
+ " 4500 -19040.556583 2019-10-28 10:14:32.569\n",
+ " 5000 -18169.812374 2019-10-28 10:14:33.891\n",
+ " 5500 -16657.860123 2019-10-28 10:14:35.200\n",
+ " 6000 -16220.268468 2019-10-28 10:14:36.485\n",
+ " 6500 -16472.952274 2019-10-28 10:14:37.784\n",
+ " 7000 -17046.418912 2019-10-28 10:14:39.054\n",
+ " 7500 -17320.865489 2019-10-28 10:14:40.343\n",
+ " 8000 -16438.413488 2019-10-28 10:14:41.622\n",
+ " 8500 -16116.768242 2019-10-28 10:14:42.893\n",
+ " 9000 -16085.659977 2019-10-28 10:14:44.167\n",
+ " 9500 -15679.574171 2019-10-28 10:14:45.405\n",
+ " 10000 -16473.325447 2019-10-28 10:14:46.650\n",
+ " 10500 -16421.027387 2019-10-28 10:14:48.070\n",
+ " 11000 -16167.752107 2019-10-28 10:14:49.371\n",
+ " 11500 -15213.074262 2019-10-28 10:14:50.686\n",
+ " 12000 -15634.979337 2019-10-28 10:14:51.967\n",
+ " 12500 -15296.397297 2019-10-28 10:14:52.824\n",
+ " 13000 -15025.983510 2019-10-28 10:14:53.881\n",
+ " 13500 -15175.912750 2019-10-28 10:14:54.871\n",
+ " 14000 -15235.513700 2019-10-28 10:14:56.119\n",
+ " 14500 -14923.520462 2019-10-28 10:14:57.339\n",
"... ... ...\n",
- "9 5000 -19310.352956 2018-12-05 19:32:43.791\n",
- " 5500 -17503.410891 2018-12-05 19:32:45.106\n",
- " 6000 -17163.013191 2018-12-05 19:32:46.422\n",
- " 6500 -16941.399877 2018-12-05 19:32:47.714\n",
- " 7000 -16395.145359 2018-12-05 19:32:49.016\n",
- " 7500 -16250.722026 2018-12-05 19:32:50.303\n",
- " 8000 -16750.905526 2018-12-05 19:32:51.601\n",
- " 8500 -17732.539610 2018-12-05 19:32:52.890\n",
- " 9000 -16435.368812 2018-12-05 19:32:54.188\n",
- " 9500 -16910.471934 2018-12-05 19:32:55.472\n",
- " 10000 -15910.365821 2018-12-05 19:32:56.769\n",
- " 10500 -15936.659327 2018-12-05 19:32:58.053\n",
- " 11000 -15246.633564 2018-12-05 19:32:59.346\n",
- " 11500 -15256.022959 2018-12-05 19:33:00.622\n",
- " 12000 -14985.884198 2018-12-05 19:33:01.923\n",
- " 12500 -14689.841559 2018-12-05 19:33:03.218\n",
- " 13000 -14822.625860 2018-12-05 19:33:04.515\n",
- " 13500 -15013.715132 2018-12-05 19:33:05.634\n",
- " 14000 -14797.257898 2018-12-05 19:33:06.517\n",
- " 14500 -14895.606255 2018-12-05 19:33:07.476\n",
- " 15000 -14986.753045 2018-12-05 19:33:08.288\n",
- " 15500 -14696.829929 2018-12-05 19:33:09.165\n",
- " 16000 -14681.308608 2018-12-05 19:33:09.995\n",
- " 16500 -14681.308608 2018-12-05 19:33:10.743\n",
- " 17000 -14689.841559 2018-12-05 19:33:11.510\n",
- " 17500 -14700.923210 2018-12-05 19:33:12.254\n",
- " 18000 -14681.308608 2018-12-05 19:33:13.067\n",
- " 18500 -14681.308608 2018-12-05 19:33:13.918\n",
- " 19000 -14681.308608 2018-12-05 19:33:14.660\n",
- " 19500 -14681.308608 2018-12-05 19:33:15.356\n",
+ "9 5000 -19218.644968 2019-10-28 10:14:34.337\n",
+ " 5500 -18770.828622 2019-10-28 10:14:35.625\n",
+ " 6000 -18390.233128 2019-10-28 10:14:36.920\n",
+ " 6500 -17361.547211 2019-10-28 10:14:38.208\n",
+ " 7000 -16846.113490 2019-10-28 10:14:39.501\n",
+ " 7500 -15002.318165 2019-10-28 10:14:40.762\n",
+ " 8000 -16992.780932 2019-10-28 10:14:41.757\n",
+ " 8500 -17115.242295 2019-10-28 10:14:43.037\n",
+ " 9000 -17297.012437 2019-10-28 10:14:44.327\n",
+ " 9500 -16511.948405 2019-10-28 10:14:45.552\n",
+ " 10000 -16175.059178 2019-10-28 10:14:46.828\n",
+ " 10500 -15482.711195 2019-10-28 10:14:48.096\n",
+ " 11000 -15190.359782 2019-10-28 10:14:49.376\n",
+ " 11500 -15776.667896 2019-10-28 10:14:50.523\n",
+ " 12000 -15112.798387 2019-10-28 10:14:51.327\n",
+ " 12500 -15539.267169 2019-10-28 10:14:52.194\n",
+ " 13000 -15209.937930 2019-10-28 10:14:52.907\n",
+ " 13500 -14917.833732 2019-10-28 10:14:53.804\n",
+ " 14000 -14822.068093 2019-10-28 10:14:54.706\n",
+ " 14500 -14996.772583 2019-10-28 10:14:55.742\n",
+ " 15000 -14818.384023 2019-10-28 10:14:57.001\n",
+ " 15500 -14698.864982 2019-10-28 10:14:58.250\n",
+ " 16000 -14689.841559 2019-10-28 10:14:59.546\n",
+ " 16500 -14698.864982 2019-10-28 10:15:00.651\n",
+ " 17000 -14681.308608 2019-10-28 10:15:01.702\n",
+ " 17500 -14681.308608 2019-10-28 10:15:02.920\n",
+ " 18000 -14681.308608 2019-10-28 10:15:04.255\n",
+ " 18500 -14681.308608 2019-10-28 10:15:05.523\n",
+ " 19000 -14681.308608 2019-10-28 10:15:06.791\n",
+ " 19500 -14681.308608 2019-10-28 10:15:08.055\n",
"\n",
"[400 rows x 2 columns]"
]
},
- "execution_count": 56,
+ "execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "threshold = datetime(2018, 12, 6, 1)\n",
- "trace = pd.DataFrame([p for p in parsed if p['time'] > threshold])\n",
+ "# threshold = datetime(2018, 12, 6, 1)\n",
+ "trace = pd.DataFrame([p for p in parsed if p['time'] > start_time])\n",
"trace = trace.set_index(['worker', 'iteration']).sort_index()\n",
"trace"
]
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfa56aecc0>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1dc6edef0>"
]
},
- "execution_count": 60,
+ "execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
}
],
"source": [
- "trace1.loc[0].fitness.plot()"
+ "trace.loc[0].fitness.plot()"
]
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 60,
"metadata": {},
"outputs": [
{
"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
]
},
- "execution_count": 64,
+ "execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "workers = list(sorted(set(trace1.index.get_level_values(0))))\n",
+ "workers = list(sorted(set(trace.index.get_level_values(0))))\n",
"workers"
]
},
{
"cell_type": "code",
- "execution_count": 71,
+ "execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
"source": [
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
- " trace1.loc[w].fitness.plot(ax=ax, color='#00000020')\n",
- " trace2.loc[w].fitness.plot(ax=ax, color='#00000020')"
+ " trace.loc[w].fitness.plot(ax=ax, color='#00000020')\n",
+ "# trace2.loc[w].fitness.plot(ax=ax, color='#00000020')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+ " cipher_alphabet fitness \\\n",
+ " worker iteration \n",
+ " 0 0 vwipsyeaxzhtcgnjfqrkomlbdu -17464.568517 \n",
+ " 500 veishcowyqapntgjkzxlfrbmud -18531.679762 \n",
+ " 1000 eipyvanfzdotkswqcxrugjhmbl -20903.487109 \n",
+ " 1500 vogicqjwyahpsfzxenutkmldbr -19941.571807 \n",
+ " 2000 vypiczksxwhenrdatfjgqlobmu -18871.699801 \n",
+ " 2500 vwsiaexrybzpfuhqjgtmlnckod -18847.246876 \n",
+ " 3000 vwpsienacxzfbjudtqyholgmrk -19111.386196 \n",
+ " 3500 xyvsiecalghpzkutbofwnjdqrm -19693.452817 \n",
+ " 4000 iptvweayszhfnqjcuxrgbkomdl -18959.289175 \n",
+ " 4500 tyivpenshxcqzrfagwkjdbuolm -19040.556583 \n",
+ " 5000 pwivsjmyafxterockhznqlbgdu -18169.812374 \n",
+ " 5500 vwpisyxaogetcuqznrjhfdlkbm -16657.860123 \n",
+ " 6000 vwpisyxzajhtcfgeunobqmrdlk -16220.268468 \n",
+ " 6500 vwpisyxeamztgfcnjhbukqrold -16472.952274 \n",
+ " 7000 vwpisyxqarhuznoejtgclfkbdm -17046.418912 \n",
+ " 7500 vwipszxeanyqculgtrhfmkbjod -17320.865489 \n",
+ " 8000 vwpisyxzaectjnkgfhqmrolbud -16438.413488 \n",
+ " 8500 vwpisyxegzathorcfnjluqkmdb -16116.768242 \n",
+ " 9000 vwpisaxeyzhtfoqgrncljkumdb -16085.659977 \n",
+ " 9500 vwpisyxeazhtqjkgcnmrfobdlu -15679.574171 \n",
+ " 10000 vwpisyxeazothrclfkjnmgqdub -16473.325447 \n",
+ " 10500 vwpisyxeazdtkglhjfcnqubrom -16421.027387 \n",
+ " 11000 vwpsiyxeaqzthfdgjnrocmukbl -16167.752107 \n",
+ " 11500 vwpisyxeazhtmfqcjngokudlbr -15213.074262 \n",
+ " 12000 vwpisyxeazhtljrgfncokbmqud -15634.979337 \n",
+ " 12500 vwpisyxeazhtclqfjnmgkruodb -15296.397297 \n",
+ " 13000 vwpisyxeazhtcfqgonrjkmbdlu -15025.983510 \n",
+ " 13500 vwpisyxeazhtcqmgjnfokrbudl -15175.912750 \n",
+ " 14000 vwpisyxeazhtckogjnqfrmbudl -15235.513700 \n",
+ " 14500 vwpisyxeazhtcfqgjnbokmlrdu -14923.520462 \n",
+ " ... ... ... \n",
+ " 9 5000 jwsviuxegkatyrnzdhpoflcmbq -19218.644968 \n",
+ " 5500 icspvagyxwebqfomjtzhdnrluk -18770.828622 \n",
+ " 6000 pesviynazwhtmbdqgjkfxrcuol -18390.233128 \n",
+ " 6500 vwpisjxzadhtygqmeknfrculbo -17361.547211 \n",
+ " 7000 vhpisyxwazktejugnqfrclmdob -16846.113490 \n",
+ " 7500 vwpisyxeazhtcfqgrnjobklmud -15002.318165 \n",
+ " 8000 iwspvyxehnatgojzlkqfcbmdur -16992.780932 \n",
+ " 8500 vwpisyxcegqtablnfzhkjdorum -17115.242295 \n",
+ " 9000 vwspiexyhzatlrjfnkcqgdboum -17297.012437 \n",
+ " 9500 vwpisyxzeahtcrfnjdgkqoubml -16511.948405 \n",
+ " 10000 vwpisyxeazhtclbrjugqdnkfom -16175.059178 \n",
+ " 10500 vwpisyxeazhturqgjfcnkodmbl -15482.711195 \n",
+ " 11000 vwpisyxeazhtcrmgjnkofqlubd -15190.359782 \n",
+ " 11500 vwpisyxeazrtmfhcjngqkdlbuo -15776.667896 \n",
+ " 12000 vwpisyxeazhtfmqgjncokrdblu -15112.798387 \n",
+ " 12500 vwpisyxeazhtqkogfnjcurdlbm -15539.267169 \n",
+ " 13000 vwpisyxeazhtmfqcjngordlbuk -15209.937930 \n",
+ " 13500 vwpisyxeazhtcfqgjnlokrumdb -14917.833732 \n",
+ " 14000 vwpisyxeazhtcfqgjnrokumdbl -14822.068093 \n",
+ " 14500 vwpisyxeazhtofqgjncrkulmbd -14996.772583 \n",
+ " 15000 vwpisyxeazhtcfqgrnjokmludb -14818.384023 \n",
+ " 15500 vwpisyxeazhtcfqgjnrokmldub -14698.864982 \n",
+ " 16000 vwpisyxeazhtcfqgjnrokmlubd -14689.841559 \n",
+ " 16500 vwpisyxeazhtcfqgjnrokmldub -14698.864982 \n",
+ " 17000 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " 17500 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " 18000 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " 18500 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " 19000 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " 19500 vwpisyxeazhtcfqgjnrokmldbu -14681.308608 \n",
+ " \n",
+ " mapped_cipher_alphabet plain_alphabet \\\n",
+ " worker iteration \n",
+ " 0 0 pkjzvfqesbmhcyirdxawtoglnu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 500 sljqvkzohmrancixuywepftbgd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 1000 yuqdecxnvmjokaprbzfitgshwl etoainhsrdlumwycfgpbvkxjqz \n",
+ " 1500 itxavenjcdmhsqgubywopkflzr etoainhsrdlumwycfgpbvkxjqz \n",
+ " 2000 igawvtfkcblhnzpjmxsyeqrodu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 2500 imqbvjgxaknzfestoyrwpluchd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 3000 shdxvtqnimlzbepyrcawfojguk etoainhsrdlumwycfgpbvkxjqz \n",
+ " 3500 swtgxbociqjhzevfrlaypnkdum etoainhsrdlumwycfgpbvkxjqz \n",
+ " 4000 vgcziuxawmkhnetrdsypfbqojl etoainhsrdlumwycfgpbvkxjqz \n",
+ " 4500 vjaxtgwnpobczeiklhsyqdrufm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 5000 vncfpkhmsglxejizdaywtqrbou etoainhsrdlumwycfgpbvkxjqz \n",
+ " 5500 ihzgvnrxskdecypjboawtfulqm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 6000 ibejvunxsdmhcypolazwtqfrgk etoainhsrdlumwycfgpbvkxjqz \n",
+ " 6500 iunmvjhxsoqzgypblaewtkfrcd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 7000 icervjtxsbfhzypgdaqwulnkom etoainhsrdlumwycfgpbvkxjqz \n",
+ " 7500 pfgnvtrxsjkyczihoaewqmubld etoainhsrdlumwycfgpbvkxjqz \n",
+ " 8000 imgevfhxsbocjypquazwtrnlkd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 8500 ilczvfnxsmqahypjdgewtuokrb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 9000 ilgzvrnxsmkhfapcdyewtjouqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 9500 irgzvcnxsdohqypmlaewtfjbku etoainhsrdlumwycfgpbvkxjqz \n",
+ " 10000 inlzvfkxsdgohypjuaewtmrqcb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 10500 inhzvjfxsrudkypcoaewtqgblm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 11000 sogqvjnxikmzhyprbaewtcfudl etoainhsrdlumwycfgpbvkxjqz \n",
+ " 11500 ioczvjnxsluhmypgbaewtkfdqr etoainhsrdlumwycfgpbvkxjqz \n",
+ " 12000 iogzvfnxsqbhlypcuaewtkjmrd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 12500 igfzvjnxsorhcypmdaewtkluqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 13000 ijgzvonxsdmhcyprlaewtkfbqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 13500 iogzvjnxsurhcypfdaewtkqbml etoainhsrdlumwycfgpbvkxjqz \n",
+ " 14000 ifgzvjnxsumhcypqdaewtrkbol etoainhsrdlumwycfgpbvkxjqz \n",
+ " 14500 iogzvjnxsrmhcypbdaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " ... ... ... \n",
+ " 9 5000 vozkjdhximlayuspbgewtfrcnq etoainhsrdlumwycfgpbvkxjqz \n",
+ " 5500 phmwijtgvlneqaszuxycbdfrok etoainhsrdlumwycfgpbvkxjqz \n",
+ " 6000 vfqwpgjniurhmyskozaetxbcdl etoainhsrdlumwycfgpbvkxjqz \n",
+ " 6500 ifmdvekxslchyjpnbazwtrguqo etoainhsrdlumwycfgpbvkxjqz \n",
+ " 7000 irgzvnqxsdlkeypfoawhtcjmub etoainhsrdlumwycfgpbvkxjqz \n",
+ " 7500 iogzvrnxsmkhcypjuaewtbflqd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 8000 pfznilkxvdbagysquhewtcomjr etoainhsrdlumwycfgpbvkxjqz \n",
+ " 8500 ikngvfzxsrdqayphuecwtjbolm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 9000 pqfzvnkxiodalescuhywtgrbjm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 9500 iknavjdxsbohcypgmezwtqrufl etoainhsrdlumwycfgpbvkxjqz \n",
+ " 10000 iqrzvjuxsfnhcypgoaewtdlkbm etoainhsrdlumwycfgpbvkxjqz \n",
+ " 10500 ingzvjfxsmohuypcbaewtkrdql etoainhsrdlumwycfgpbvkxjqz \n",
+ " 11000 iogzvjnxsuqhcypkbaewtfrlmd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 11500 iqczvjnxsbdrmypguaewtkflho etoainhsrdlumwycfgpbvkxjqz \n",
+ " 12000 iogzvjnxsbrhfypclaewtkmdqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 12500 icgzvfnxslrhqypjbaewtukdom etoainhsrdlumwycfgpbvkxjqz \n",
+ " 13000 ioczvjnxsbdhmypguaewtrflqk etoainhsrdlumwycfgpbvkxjqz \n",
+ " 13500 iogzvjnxsmrhcypldaewtkfuqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 14000 iogzvjnxsduhcyprbaewtkfmql etoainhsrdlumwycfgpbvkxjqz \n",
+ " 14500 irgzvjnxsmuhoypcbaewtkflqd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 15000 iogzvrnxsumhcypjdaewtkflqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 15500 iogzvjnxsdmhcypruaewtkflqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 16000 iogzvjnxsumhcyprbaewtkflqd etoainhsrdlumwycfgpbvkxjqz \n",
+ " 16500 iogzvjnxsdmhcypruaewtkflqb etoainhsrdlumwycfgpbvkxjqz \n",
+ " 17000 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 17500 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 18000 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 18500 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 19000 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " 19500 iogzvjnxsdmhcyprbaewtkflqu etoainhsrdlumwycfgpbvkxjqz \n",
+ " \n",
+ " time target_cipher_alphabet \n",
+ " worker iteration \n",
+ " 0 0 2019-10-28 10:14:21.136 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 500 2019-10-28 10:14:22.493 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 1000 2019-10-28 10:14:23.787 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 1500 2019-10-28 10:14:25.084 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 2000 2019-10-28 10:14:26.133 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 2500 2019-10-28 10:14:27.408 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 3000 2019-10-28 10:14:28.707 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 3500 2019-10-28 10:14:29.835 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 4000 2019-10-28 10:14:31.228 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 4500 2019-10-28 10:14:32.569 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 5000 2019-10-28 10:14:33.891 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 5500 2019-10-28 10:14:35.200 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 6000 2019-10-28 10:14:36.485 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 6500 2019-10-28 10:14:37.784 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 7000 2019-10-28 10:14:39.054 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 7500 2019-10-28 10:14:40.343 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 8000 2019-10-28 10:14:41.622 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 8500 2019-10-28 10:14:42.893 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 9000 2019-10-28 10:14:44.167 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 9500 2019-10-28 10:14:45.405 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 10000 2019-10-28 10:14:46.650 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 10500 2019-10-28 10:14:48.070 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 11000 2019-10-28 10:14:49.371 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 11500 2019-10-28 10:14:50.686 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 12000 2019-10-28 10:14:51.967 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 12500 2019-10-28 10:14:52.824 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 13000 2019-10-28 10:14:53.881 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 13500 2019-10-28 10:14:54.871 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 14000 2019-10-28 10:14:56.119 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 14500 2019-10-28 10:14:57.339 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " ... ... ... \n",
+ " 9 5000 2019-10-28 10:14:34.337 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 5500 2019-10-28 10:14:35.625 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 6000 2019-10-28 10:14:36.920 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 6500 2019-10-28 10:14:38.208 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 7000 2019-10-28 10:14:39.501 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 7500 2019-10-28 10:14:40.762 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 8000 2019-10-28 10:14:41.757 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 8500 2019-10-28 10:14:43.037 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 9000 2019-10-28 10:14:44.327 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 9500 2019-10-28 10:14:45.552 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 10000 2019-10-28 10:14:46.828 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 10500 2019-10-28 10:14:48.096 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 11000 2019-10-28 10:14:49.376 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 11500 2019-10-28 10:14:50.523 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 12000 2019-10-28 10:14:51.327 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 12500 2019-10-28 10:14:52.194 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 13000 2019-10-28 10:14:52.907 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 13500 2019-10-28 10:14:53.804 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 14000 2019-10-28 10:14:54.706 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 14500 2019-10-28 10:14:55.742 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 15000 2019-10-28 10:14:57.001 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 15500 2019-10-28 10:14:58.250 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 16000 2019-10-28 10:14:59.546 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 16500 2019-10-28 10:15:00.651 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 17000 2019-10-28 10:15:01.702 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 17500 2019-10-28 10:15:02.920 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 18000 2019-10-28 10:15:04.255 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 18500 2019-10-28 10:15:05.523 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 19000 2019-10-28 10:15:06.791 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " 19500 2019-10-28 10:15:08.055 iogzvjnxsdmhcyprbaewtkflqu \n",
+ " \n",
+ " [400 rows x 6 columns])"
+ ]
+ },
+ "execution_count": 67,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dump_result(start_time, 'test.csv', verbose=True, target_cipher_alphabet=ct_key)"
]
},
{
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "[('z', 25), ('g', 23), ('n', 1), ('q', 1), ('w', 1)]"
+ "[('k', 23), ('w', 21), ('d', 7), ('h', 4), ('n', 2)]"
]
},
- "execution_count": 113,
+ "execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 114,
+ "execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 114,
+ "execution_count": 71,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" workers=24)\n",
"print(score)\n",
"# workers, trace = dump_result(start_time, 'sa-given-trigram-gaussian.csv', verbose=True)\n",
- "workers, trace = dump_result(start_time, 'test.csv', verbose=True)\n",
+ "workers, trace = dump_result(start_time, 'test.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-2494.5491330863815\n"
+ "-2516.00992398943\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'yxhursvdtwgbjmeoqcpkizfnla',\n",
- " 0.05230769230769231)"
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'bkrefavguhwcstlxnpjqiyodmz',\n",
+ " 0.4338461538461538)"
]
},
- "execution_count": 115,
+ "execution_count": 72,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" swap_index_finder=uniform_swap_index, \n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'hillclimbing-random-unigram-uniform.csv')\n",
+ "workers, trace = dump_result(start_time, 'hillclimbing-random-unigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 116,
+ "execution_count": 73,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja', 'eolbrvxtpqzuhdyswcmkigfnja', 1.0)"
+ "('qkicfaygbnweojuxhptlsvrdmz', 'qkicfaygbnweojuxhptlsvrdmz', 1.0)"
]
},
- "execution_count": 116,
+ "execution_count": 73,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" swap_index_finder=uniform_swap_index, \n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'hillclimbing-random-trigram-uniform.csv')\n",
+ "workers, trace = dump_result(start_time, 'hillclimbing-random-trigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 117,
+ "execution_count": 74,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 117,
+ "execution_count": 74,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" plain_alphabet=plain_alpha, cipher_alphabet=ct_alpha,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'hillclimbing-given-trigram-uniform.csv', verbose=True)\n",
+ "workers, trace = dump_result(start_time, 'hillclimbing-given-trigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 118,
+ "execution_count": 75,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 118,
+ "execution_count": 75,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" plain_alphabet=plain_alpha, cipher_alphabet=ct_alpha,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'hillclimbing-given-trigram-gaussian.csv')\n",
+ "workers, trace = dump_result(start_time, 'hillclimbing-given-trigram-gaussian.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 119,
+ "execution_count": 76,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-2494.5491330863815\n"
+ "-2516.00992398943\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'yxhursvdtqgbjmeoncpkizfwla',\n",
- " 0.015384615384615385)"
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'bkrefavguhwcstlxnpjqiyodmz',\n",
+ " 0.4338461538461538)"
]
},
- "execution_count": 119,
+ "execution_count": 76,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" fitness=Pletters,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-random-unigram-uniform.csv')\n",
+ "workers, trace = dump_result(start_time, 'sa-random-unigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 120,
+ "execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja', 'eolbrvxtpqzuhdyswcmkigfnja', 1.0)"
+ "('qkicfaygbnweojuxhptlsvrdmz', 'qkicfaygbnweojuxhptlsvrdmz', 1.0)"
]
},
- "execution_count": 120,
+ "execution_count": 77,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" swap_index_finder=uniform_swap_index, \n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-random-trigram-uniform.csv')\n",
+ "workers, trace = dump_result(start_time, 'sa-random-trigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 121,
+ "execution_count": 78,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja', 'eolbrvxtpqzuhdyswcmkigfnja', 1.0)"
+ "('qkicfaygbnweojuxhptlsvrdmz', 'qkicfaygbnweojuxhptlsvrdmz', 1.0)"
]
},
- "execution_count": 121,
+ "execution_count": 78,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAAEKCAYAAAA1qaOTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzsvXuMZNl93/c5dev9fnX1u3tmemZnuDtL7nLHJE2bYEBJFCUhoKxIhpTAYhxB/EMy7MRIYAlyEMcxETlIYsiJLYOQHEsBElpxIpCGJROkRGtBSVwud5dc7s7MzqPn0e/uer/vrVv35I+uc9TT2zPTszOzL/4+QGGqzr1163R1z/ne83sqrTWCIAiC8LCE3ukJCIIgCO8PRFAEQRCER4IIiiAIgvBIEEERBEEQHgkiKIIgCMIjQQRFEARBeCSIoAiCIAiPBBEUQRAE4ZEggiIIgiA8EsLv9AQeF+VyWZ84ceKdnoYgCMJ7ipdeeqmqtZ56K+993wrKiRMn+M53vvNOT0MQBOE9hVLq1lt9r5i8BEEQhEeCCIogCILwSBBBEQRBEB4JIiiCIAjCI0EERRAEQXgkiKAIgiAIjwQRFEEQBOGR8L7NQxHeXQRBwGg0IhqNopR65NcfjUZEIpG7HnddlyAIADBtr7XWaK0Zj8eMx2NisRhKqTseoVDIXvte178bWmtqtRrxeNz+3Af/HY1GbG9vEwQBoVAIx3EACIVCaK3pdrvU63Wy2SxKKYIgsPMejUbU63WGwyHRaJRIJGKvHQQBvV6PnZ0dstks09PThEIhxuOxvcZ4PGZzc9P+3GZOWms7t06ng1LKfkcHv7t+v89gMLDzNtc3x4fDIePxmHA4TCgUstc3c/B9384lCAL72b7v43keo9GIcDhsfw/mMxzHsc8P/iy+79v3j0YjO27ON59vvluttZ3zwb8FM3/zOzHfuxk335XWGs/zCILAPg7/TOaa5vjBv7+Df4OPuhX7T/zET/CFL3zhkV7zOIigCG8Lu7u7DIdDlFLE43H7eBQC0263qdfr5PN58vn8m47XajU6nc6bxl3XpdFosLm5yXg8JpfLMT09TTabZTQaMRgMqFar1Ot1HMfhzJkznDp1ilQqdd85DYdDbty4wfXr1xkMBhQKBZaWlohGo4xGI3Z2dtje3mZ1dZXhcHjHojgejxkOh2xubrK9vc1oNCIWi5FMJolGoziOg+/7DAYDut2uXeQOCk2/38fzPHzfRylFLBYjkUgQi8WIRqMMh0NarRae5xEKhe64rhF/z/MYj8dWXA8ufgfFxXBYqM0CevD4QVE8+Hs/fP0H5VEvyO91SqXSO/K56v36i7hw4YKWTPl3B4PBgJ2dHTKZDLC/2I5GI2D/TjwWixGPx0mlUoTDR9/jdDodotEosVjsyGubu9WZmRni8fgd76vVamSzWZLJJOPxmH6/T6fToV6v0+12yeVypFIp1tbW6Ha7hEIhkskkAOFwmHw+T6vVYm9vj2QyycLCArOzs2QyGWKxmL17d12XdrvN7du32draYjgcEo/HyWQyVKtVe8dudku9Xo94PM7U1BT5fJ5wOEyr1WJ7e5sbN27YeU9PT9Nut+l2u/Zu1/M8wuEwMzMz5PN5Njc3qVartNtte6xYLLK4uEi322VnZwfP8+j1evT7fUajEYlEgqWlJXv3nEqlCIVC+L5Pr9cjFouRyWRwXRetNdFolEQigdYax3FIJpOk02l6vR7dbpdut3vH52ezWeLxuN1tDAYDxuMxoVCISCRCPB7H93183ycSiZDJZIjH48RiMVKplBVuz/OsOAZBgOu69Ho9e4NidkBmlxaPx4lEIkSj0Tt2BUZcgyCwQhkKhewuSGttd3lmRxMOh61YmR2L2W2ZnyOZTBIOh61Ym9eO49jvLBaL2XPi8bi9zlE74sexg38QlFIvaa0vvKX3iqAIj5vNzU2CIGB+ft7+ZzF34eYxGo1wHIfZ2dk3iUq/3+fSpUukUikWFxftQuP7Ppubm4TDYaanp9na2gJgbm6OUCiE67rWnHRwITdmrHA4zNTUFJFIhG63i+d57O3tsb6+zmAwoFgscu7cObLZLAA7OzvcvHmTTqdDMpkkl8vhOA5bW1vWzNLr9QCIRqPk83mGwyHr6+s0m01GoxGpVIpisUgsFiMSidBoNGg2m8TjcRKJBEopWq0WACdPnmR2dpbhcEi73cZxHAqFAv1+n3q9DvyF6cksXIlEglwuR6FQIJPJ4Ps+7XabK1eucPHiRarVKqPRiFwux/LyMvl8nk6nw+3bt+n1eoTDYQqFAlNTUywtLZHP54lGo7iuS61WYzAYEI/HmZ6eJhwO0+/3cV3XmphSqRSFQoFsNovv+/T7fWv2MrssYzr0PM8u4L7vk0gkyOfz5HI5u2gf/jvodDoMBgOUUiSTSbvLfVym1B9ERFCOQATl4TGLpPk3CAJ7J30Yz/PodDpks9k7fA29Xo+9vT3K5TLpdPqun+V5Htvb2/au++CCcunSJa5du0Y6nWZ+fp5KpUI2m2Vra4vxeMzc3BzhcBjXddna2rKL9ubmJqPRiN3dXWq1ml10zN12Lpezd4XpdNruXkajkfUfrK+v02g0SKfT5HI5otEorVaLfr9Pr9djfX39jmsnEgkymYydTyQSIZfLkUgk7N1stVplY2PD7oaUUuzs7OC6LkopSqUSTz31FIVCgVgsRqVSIZPJ0Gq1uHjxIqFQiCeeeIJYLIbrupRKJdLptL37LZVKRCIRNjc3uXHjBmtra7TbbUajEZlMhpMnT1Iul6nVatTrdYIgIBKJsLe3x9bWFslkkvPnz1MsFhmPx1YojY/A7MgymQypVArHcYjFYhQKBcrlMvF4nE6nY/0vZieTSCTu+vsfj8c0Gg263S6O41AsFkmlUgRBYHc+vu/jOA6ZTIZMJmN3EcKj5V0pKEqpfw2cnbzMA02t9TOTY78K/AIwBv621vqrk/HPAL8BOMBvaa1/fTJ+EvgSUAJeAv6G1tq71+eLoDw45u7PiMjBvw1z9xeJRJidnb3jbtCIgXGsZjIZ8vk8Sik2NzdRSlGpVHBd15oljsKYrxKJBJVKBaUUzWaTP/3TP6Xb7ZJKpYjH4ywsLBAEAYlEgpmZGSKRCM1mk1AoZM0vsL9LqNfrbG9vs7CwAGBNMlpru4CnUil837d+nXK5TCgUolarsb29TaPRsHf/4XAYz/N44403uHjxIvV6nXQ6TTQaJZ1OEwqFGAwG+L5PNptlaWmJhYUFGo0GGxsbbGxsWJ9IOBy2JjVztx+NRimXy4zHY3vHPh6P2draYm1tDc/zrAjOzc1x6tQpIpEIsViMXC5nhWFvb8/u+syOo1QqobW2v+NQKITneWSzWWsSisfj1Go1er0exWKRubk5a2qLx+PWBGTMT7FYjFgsRj6ft0LSbDYJgsD+HTzIwm92Qp7nWX+T1ppYLGbNlrITeby8KwXljg9R6n8BWlrrf6iUehL4v4GPAHPA14EnJqdeAX4EWAdeBH5Oa31RKfV7wP+ntf6SUupfAN/TWv/mvT5TBOXNHHaEHsTc3YfDYbvoh8NhG93kOI5d8FOpFFNT+9WtTZQSQKVSodvt0ul0bDSO53nkcjm63a61Zxu/ifGJRKNRK2DGWZzJZCgWi7z88su8+uqrnDt3jkQiQbvdtuaf5eVlisWiNdeYO/Xr16/TbDYJh8MMBgMSiQRTU1MUi0XC4bAVvlQqhed5vP7667RaLc6dO8cHP/hBfN+nWq1aM9loNMJ1XZrNJr1ej7W1NdbX12m32+RyOaampgiFQrTbbbTWJBIJa3Iyd/hGFMx3fOLECXK5nDUJAaTTacrlsnWsA9YktLe3Z3cgjUaD3d1dPM8jmUxaE+BwOLQLcblcZn5+nmKxaB3dvu8D+zcOw+GQQqHA7OwszWYT13XJZrNks1mCILABAcYsWC6XKRaL1m9kzFRGhAaDAfV6ndFoRDwep1gsEo1G3/LfaqfTod1uWyF5mGsJD8a7WlDU/gp2G/iU1vrqZHeC1vp/nBz/KvAPJqf/A631j07Gf3Uy9uvAHjCjtfaVUn/54Hl3QwTlTkxkkeM4NoT0ILVajW63y+Li4pH2a0Or1aLRaFAoFEilUmxvb1vbuXH0RiIRWq0Wq6urAHYhKpVK+L7PcDi0JhHXdXFdF8dxrLmo1+sxGAzQWvPaa6+RTCb56Ec/CkC9XueNN96w7zOOeGMeSiQS1Ot1VldX7XxyuRzFYhHYj35ZWFggn8+zsbHBpUuX7DzNLiOdTlMsFvF935qier0eGxsb9Pt969jNZrPEYjGCILCRU9lsltOnT1MqlawD2Xxnw+HQ7nB2d3etL8KYcHzf5/bt22xvb5NOp5mamqJQKNjdjgk9LpVKZDIZ69NpNpt2V5ZMJu28jGPafA+pVIpsNkuxWEQpRaPRsLudcrlsgybMTUen02Fzc9N+N0opotHoHVF64/GYer3OYDCwgQAmoEF4b/IwgvJ2hA1/AtjRWl+dvJ4HvnXg+PpkDGDt0PhH2TdzNbXW/hHnC8dgMBiwt7eHUgrP89ja2rJOVdiPXmm32/R6PSsWdxOVXC6H53lUq1V2d3dxHAelFBcvXrTvnZqasnZ3Y2JJpVJUq1XK5bKNtjELqfms4XCI67rWdPL1r3+der3O+fPn+fM//3N2d3dpNpsUCgUcx7ERT/V6nUgkQr/fZ3Nz087JdV3rd4nH49Z8sra2xp/92Z+xtbWF53m4rks4HLbhw1NTU2SzWWvGM2abcrnM7du3qVarzM/PMz8/T7/fJxQKkcvleOqpp/B9n0ajQb/ftwu62cEYJ/61a9fs3f3s7Cxnz+5bhtfX11laWuLkyZN3mKXK5TKO49gFOxKJMBqNyOfzzM/PMzc3Rz6fp1gs2l2hiegajUYkk0mKxeKb/Fu5XM7muBzl38hkMpw9e9aaB00Ahdk9GEKhkL1pEHPUDzYPJShKqa8DM0cc+jWt9Zcnz3+OfRPXY0cp9Xng8wBLS0tvx0e+6zFhs9FolEqlgu/77O7usr29zfT0NJFIhF6vZ30LtVqNfr9PoVC4w4nebrdpNpt24bp9+zaNRoNsNku73bbJe+vr69y+fZtms4nWmnQ6baOZtNZMT0+zsrJiTTUmZLPf79vQ3G63y9bWFuvr69af0G63aTQa9ng6naZUKrG0tGTNZCYZr16vMzU1ZU0zxkw2Go24desWr732Gv1+n3K5TKFQsKJhku729vbY2NggkUhw6tQpyuUySim2traYmprixIkTZDIZNjY2CIVCZDIZGo0Gzz//PJlMxjqgza6o0WgQCoVoNptsbGwQBAEf+9jHbF6J1pq9vT3i8ThnzpyxoruxscHW1pb1IUxPT5NMJonFYgwGA3q9HvPz89YRfhgjBMZkeZhIJML09PR9/4YO5g4dvK7Jn8lms+IgF4CHFBSt9Q/f67hSKgz8FPDcgeENYPHA64XJGHcZrwF5pVR4sks5eP7h+XwR+CLsm7yO/5O8O/B9n1qtRjqdPjJ5ziy62Wz2WMl1jUaDVqtlfQgmpHVmZoadnR27U2k0Guzs7DAajRgOh+TzeTzPo9vtUigUrJh0Oh2bMNfv96nVamxtbZFOp1lYWODcuXO0Wi3++I//mJ2dHU6cOMH8/Dy+7zM9Pc1gMKDdbrO3t8fJkyfp9/v2sbu7a2PzB4MBly5dsol729vbVCoVTp06xdzcHBsb+7/+arVKEAScOHGCjY0Nbty4QTQaZXFxkampKbtQf//738dxHPszlEol68zudDoUCgVOnz7NBz7wAbt7aTQazM7O2mgskxG9tLREKpXixRdfxPM8nnrqKVZWVoD95M3d3V22trasQ7xSqdhQ30ajQT6f54Mf/CArKyv0+32+973v8dprrzE1NcWTTz5pRdxxHE6dOkWlUqHf71v/j+u6NvTX+JnutiswQvCoOSwwgmB43CavHwYua63XD4x9Bfi/lFL/K/tO+TPAtwEFnJlEdG0APwv8p1prrZT6BvDT7Ed6fQ74Mu9DjC3aLKSlUukOs1StViMIAvb29mi32xQKhTv+U5tEvXw+b69jFh0jVrBvZ5+enmZ3d5dbt26xsbFBtVrl9OnThMNhOp0OWmsajQbXr1+3UUyhUIirV6/a65g78Hw+z7PPPmtNa5lMhmeffdb6UmZmZjh79iyhUIjr169z/fp1ax5LJpP0ej1CoZB1klerVRttFYvF8H2fer1uk91WVlZsvsL169fZ3d0FsKGlvu/z+uuvk8/nSafTNncik8mwuLjI8vIy09PTxGIxLl68SKVSsSI7GAysn6DRaNiQ2FgsRjqdJhwOWzOcCRQwJqPhcEiz2bRJhvV63ZqehsMhpVKJ06dP25BngIWFBVqtFvl8nnq9bs10JoHT+HTM76PVatnQalnQhXcbj1tQfpZD5i6t9euTqK2LgA/8stZ6DKCU+lvAV9kPG/6XWuvXJ2/7e8CXlFL/CHgF+O3HPO+3neFwSL/fJ5/PEwqFbJipiRZqNpuMx2NmZ2cZjUY0Gg22t7dJJpMUCgXC4bAN77x06RJaa06ePGlLMBizSzabtSU3isUiW1tbvPzyy6ysrLCyskIikWBra4tqtWprNXW7XZrNJv1+n9XVVTKZDKdOnSKbzTI3N0cikbAmsH6/z7lz51hYWGBvb49qtYrWmtXVVXK5HACJRIJGo2Gv3ev1SCaT1oF969YtgiCgWCxy+vRpG5acz+d55plniMVirK2tkclk+NCHPsTq6iqe5/HhD3/YmqtMZvri4iKLi4vWVJTNZm1G+urqqt19vfzyyzZk9cknn+SDH/ygFUjj1DZJhMlkkmeeeYaTJ09ac5pJtsvn88zMzNBut63TfDgckk6nWVxctEmNxnFunN3D4dBmm3c6HSKRiN2pBkFAtVrF8zwbMHCvwAlBeKeQxMZ3CYezyc1deb/fB/ZzPUqlkhUIrTWtVstmVRuTjskNOFgWwiTTpdNpGzW0t7fHcDjkhRdeYG9vjw9+8IMUCgUbZrqxsUE0GmV+fp4/+ZM/4erVq3YRNHf0zWaT2dlZYrEYr776qs2+NmHHqVSKcrlMu93m6tWr1uRTKBRoNpvcuHGDarVKKpUil8sRBAEvvfQS7XabZ555ho9+9KOEw2Fu3LjB7du3bZTUzMwMiUSCbrdrExdNeLCpMZXL5Wi1WkSjUebm5myplFwuh9aaa9eu8c1vftPO0/hfnnjiCT75yU+Sy+UYj8esrq6yvr6OUopCoUAkErFJfUop6yMyv5PBYMBwOAT2d5WDwYB+v0+lUmF+fv6upWUMQRDQ7/fpdrv2Ogcjse6VHCgIj4J3ddjwO8V7SVC63S7VapWpqak3+UZ6vR6XL19mOBxy9uzZN92djsdjms0mV69e5Wtf+xqZTIZPfOIT1mfR6/WoVqvAflRPPp/n1KlTADz//PP8+Z//OefPnyeZTNo8imKxaGs8Xbx4kU6nQyaTYW5ujjNnzrC1tWWdyP1+nxs3btDv92101+nTp6lUKpTLZbvY3rp1C9d1CYVCVKtVqtUqN2/etCadnZ0dm9n+oQ99iOeeew7HcWxOSblctmHKxuSmtWZpaclGbhmhchyHp59+2i7wJmQ5Eomwu7tLtVpldXWV8XjMX/krf4V8Ps/29jb1ep2FhQUWFhZsZFUQBDbPJhaL0el0mJmZsbscU5zRYEqgmB0R7O8+D1b0PS6+79v8HbNzFYTHzbs9bFg4wHA4xHEcu9AGQUCj0bAF8Y7ChPGau9ZSqWTvVB3HIZvNcuvWLVtj6vXXX7fht7VajdXVVVunKZVKsbOzQ6VSYWdnh5mZGXq9Hs1m00YcjcdjarUau7u7NtLq2WefZXFx0VbENc7v69ev0+12iUaj1Go1m62tlGJjY8Pmb7RaLRutZT7DZMJvb29bp/XCwoJ1Tm9ubhKJRPjwhz/M2bNniUQiDAYDbty4wXe+8x329va4du0aCwsLfOQjH7EhwKZ219NPP02r1bL5I51OxyYDlstllpaWKJfLeJ6H4zg8++yz5PN5a24slUqkUinm5ubwPI/NzU3S6bT1XZRKJZu0aQpKHrUDeau+DpNFLwjvFURQ3kYOZpWbJD7XdRmPx1QqlTedb3IsEokEs7OzNsJnZ2fH2tLH4zHf/e53ef3114nH42SzWZuM9uEPf9jmm6TTaVqtFjdv3uSb3/ymdfLn83l792+c4ru7u1y5coXBYMDS0pINLTXHTDb19evXCYKAc+fOsb29bau/Hgx1HY/HVjzD4TDz8/M238VU4e12u1QqFRYXF2k2m7z00kssLy8TDodZWVlhaWnJ3u2PRiPS6TSf/vSn2dra4t/+23/LpUuXyGQyjEYjzp8/b5MjjQlQKcXNmzfJZDIUCgU2NzfxPI94PE632yUSiTA3N8f8/LxNsKxWq+zt7dkIq2q1amtMHUQWfUH4C0RQ3kaMPySXy9Hr9djc3GRvb4+pqakj4/iNI96IzXA4tDWsjJmsWq1av8Nf+kt/iSeffJKbN29y+/ZtXnjhBRKJBGfOnKFYLDI7O0s+n+f555/n9ddft078YrFIuVwml8uxtrbG9evXbXXYjY0NMpkMq6urXLx40eZOuK7LzZs3bVXeSqVCNBq15dvr9TrLy8tsb2/b6CuTGxQEgXVod7tdK1qO47CwsMDu7i6bm5vWnGXqRpkaU+l0mnw+T6/X46Mf/SjtdtuGA5vSKaurq7bCr9aaxcVFuwMbDAacPHmShYUF6+9JJBL2dxCJRKxj3QQjaK1tgqIgCEcjgvI2YnpMFAoFCoUCt27dsnfv6+vrd4Sgep5Hu922tZOq1arN5Db2+CtXrrC7u8vOzg7z8/OcPXuW2dlZZmZmyGQyfOMb37CO+YMhrObufWpqimeeecYm9926dYt2u22TFWE/NPjy5cu4rkuxWKRUKtmChc1mk2azaTPwTUKfifB65ZVXSCaTNgQ6lUrR7/eZn5/HdV329vY4ffo0Fy5coNVqUa/XyeVyZLNZ9vb2SKVStuOhKddeKBTI5XJsb2+zvb3N7OwsU1NT1gF/6dIlstmsTeg7f/68rREWiURYX19nZmaG55577p4lQpRStkpwrVaz5kJBEO6OCMrbhO/7dDodwuGwLQWvtWZlZYVMJmPLWWxubjI7O2vfo5TijTfeYHd31zb+uXz5MlprTp06Ze/yn3jiCcbjMWtr+9VrBoMB6XQax3G4cuWKLXOSSCRwXddW9I3H47bkSSgU4tSpUySTSV588UWCIGB6etp27guFQtYf4bouAKlUilgsxvnz5+1OynVdvvWtb9nquGfPnuWv/tW/aiOg+v0+t2/fJp/Ps7y8bMuUJJNJgiCwGewHGzqZZk+hUIibN2/aMu7mM01RS1Nu5OTJkzaR0zj+TYn9crl87HpT0WjU/j4EQbg3IiiPGdOZb2Njg5s3b9oM85mZGRzHsc2ETH2qvb09XnjhBVtNd319nb29Pdv4yLST7fV6XLt2jVu3brGyssKJEyfY3NxkeXnZVgUul8vW9DMzM2PzQer1Oh//+MfJ5/N0u12Wl5dRStHr9eh0OjQaDU6fPk273eb69eu2YZPxX+zs7NjM9sXFRSqVCrFYzLaTNdn+8/PzNqt7bW3NisPW1hYzMzM2VPlgrbHRaESlUiGXy7G7u0skErEdCmu1mi2g6DgOTz75pG3IZUq/a63Z3d2l3+/bxlRmZ2H6p8zPSyk4QXgciKA8JszdsGlMZKrWJhIJVldX6XQ6nDx50o4Nh0Oba2HqaplKsSYh0ZRCN7kiL774IvV6nR/5kR+x5VhMQ6L5+XnbFvXixYusra3Z9q4nTpzg7NmzRKNRLl++zPr6Oh/4wAdIpVJ897vfpdFo8MQTT1Aul5menrblyU1C3iuvvMJwOOTcuXOsrKzYfJCFhQXW19dt3oaZk2kOZcq/K6VYXl623Q5Ne9fxeEypVKJSqdhGSp1Ox/ZSMWJl/EILCws2FPfgjmN2dpa9vT06nQ7b29sUCgVgv1RLLpezVXUFQXi0iKA8YobDIY1G447mTYPBwOYSLCws8Morr9jQYZNJbZpEmazqarXKK6+8wsmTJ7lw4QL5fN7mY/i+z/Xr12259a2tLZRStmqtuUNPJBKk02kuXLhgOw8Oh0NmZ2fxfd+aqm7cuMHOzg4LCwuUSiUcx2E4HNrS6o7jcPbsWZrNJpcvX2Zra4tKpcKZM2c4ceKE9e9cuXKFWq1GqVRiPB7belTb29s2u39ra4t8Pm93XqaYotaaQqFgnfOw778ZDofU63Xb6MmEJs/MzNw1ryMUCtnCl6bbo6lPduLECamIKwiPCRGUR8za2ppdHE22dqPRYDwes7S0ZDOnzbgpNV6tVrl8+bLtSTI3N8fc3Jwt1WEKJyYSCS5fvkw4HLZZ6Z7n2U6A4XDYhg+booanTp3i3Llz/Omf/inj8ZiVlRXbE0UpxcmTJ9nc3KTRaFAsFpmfn7cJgiarvt1uk8/nuX37NouLi1y4cIFms8nFixdt9d1Lly7ZRlkmkmptbc0mWA4GA+bm5jh79iyO4xAKheh0Oty6dQvHcZibm6Pf7xOPx23gQblctomUxiy2uLh4166PBykWiywvL3Pz5k1c17WZ8oIgPB5EUB4hruuyu7tLPp+n0+nYhcw0PxoOh6yvr9uMbZPD0Ol0uH37Nrdu3bLtdU3XPROea8xBe3t7NBoN64Q+ffq0rdibSCRsvgZgo5Ta7TZra2s899xz5HI5lpaW7ihFPhqNKJVK3Lp1y979nzx5ku3tbdt7/dVXX6VWq5FKpfjUpz7F3Nyc9bF873vfs7kcWmuazSanT59mZmbGmrJ2dnbIZrN85CMfIR6Po7W2Hf7m5+fJZDJ4nkej0QCw4hmPx0mlUrZS8PLy8gOZrGZnZ21NsnK5fN/SJ4IgvHXkf9cjpF6v254frVbLtkI1oaymmvAHPvABm+BoHN3JZJKTJ08yNzcH7PsEOp2OTWQ0O5disUgqlbKOb1PDykR5bW1t0e/3CYfDZDIZIpEIruuysrJiI6cOZm4rpYhEIuRyOZLJ5B2Nq8bjsa3km8vlCIfDnDlzhtFoxObmJqlUilJp8EmcAAAgAElEQVSpZD9vamqKWq1GuVzm7Nmzdyze586dsy2ITU8Wz/MoFAq2Fwnsl5IZDoe2WrJp0tXr9axP50EwyYjdbpdsNvtQv19BEO6NCMojpFar4TiO7QB4+vRpdnZ2yOfzPPXUU9y8eROlFMlkEs/zGAwGTE9Pk0qluHjxIsvLyzz99NM2VySVSpFIJGx/dBMRZoTJCMDS0hILCwvW2W/6wIfDYcbjMadPn2Z2dtYWVzzIwf4a586ds4UStdZEIhGuXbtGJBLhR3/0RwmHwyQSCfr9Ptvb29y8eZNwOMzi4n4bm06nY+dz1E7ANNIytcUqlcqbwncdx7FZ+7AvuKbjo/HnPChGSKU1rSA8XkRQHhHmrt1UvDVO493dXZs42Gg0bLjt9PQ0ruvS7/e5cuUK0WjUJuHFYjGbVb+wsGAbNJl+J7VajXa7zdTUlHU+X79+nY2NDZRSVrSSySSJRMLO5WClWlOt2IjVwf4aJkTXFHo0/dvNHb5pHjUzM0M0GrXRZyYk9yiTlDGFmQTESqVyLPOTEceH2V2YemeCIDxeRFAeAYPBgCtXrtBqtVheXmZ2dtZmZY9GI6anp9nZ2bH9N/L5PCsrK6ytrXHz5k2CIOCZZ56xjurFxUXm5+dZX1+3uSXm/EuXLtkQ2lgsxnA4tP3cgyCwbV2NGalSqdhyIb1eD8/zbLMm3/dtLS9z529ExoheIpGwrXlNm13T9rZUKtne7cbEVy6X3/T99Pt9ms0mnufdt8ugIAjvXURQHgLTv3wwGNBsNpmenub06dM4jkOv16Ner5NOp2k2m9y8eZNWq2XLypty7gdrSY3HY7u4m4dp3DQcDm0m/Gg04syZM7bJ1fXr162JykQxra+vMzU1RbPZtD3ITUMrIwwmqXBtbQ3Hcax/I5VKUSwWrcik02lu3LhhgwtMv3aD6ZFyGPO9GBPgUeX5BUF4/yCC8hYIgoBms0m73SYUClmnejabtT006vU67XabWCyG67rWfzE7O0sqlaLVatHr9WxnvkajwalTp6xZajQaoZSiWCxy48YNkskkq6urhMNhnn76aZLJJJFIhG63ayO3jBgMh0Pb89t1XVtGPpVKkc/nKZVKFAoFW0belKQPgoBCoXDHom8yz7PZLNPT0ySTSZvt32w2yWaztiSKwbTCNT+zqWYsuxJBeH8jgvKAmDIhQRCQyWRswqFpqQv7iYWmjlU+nycajfLaa6+hlLI5G9///vcJhUKMRiM6nQ6JROKOHIl6vU6n07G9zdfX1219LmM2KxQKVlBMrS3f98lms1QqFbTW7O3tWTGIx+M2GfI4GDFxXZeZmRnr1M7lcgyHQ5tL02q1yGazxONxWq0Wg8EAx3EolUqk02kREkH4AUEE5QHpdDoopZibmyMajdqyKrC/q9jY2ODGjRsopZiZmaFYLHLlyhX29vZsr/WdnR2CILDP9/b2qFQqtFotmzV/69YtAFu+/sqVK7b1bDwe5+mnn6bdbltTlcnzyGQylMtlgiBgd3eX4XDI1NTUW3JK12o1BoMBpVLpTRFSB3dAxu8CfxGma1rkCoLwg4MIygNiEhVjsRij0Yh2u82tW7eIRqMMBgNb/t20bG21WtZU9dxzz9FoNOwiHQqFbHJjJBLh5Zdfplgssr6+TjQa5dSpU7YJl+mwCLCyssJ4PKbT6QB/Ufre9E03YuK6LuVy+dg7koM0Gg263S75fP6eiYTGfzIajXBdl2QyKT1DBOEHFBGUB8T4BrLZLJFIxBYxnJ+fZ2Zmhn6/Ty6XIwgCW2W32+2ysrJis9ZNSREjLsvLywC2EvBwOOSJJ55gcXGRbrdrTV3NZtPuQK5fv47necRiMdLpNGfPniUej+P7Pjs7O/i+f0eehwkg0Fpbn8/dFv5Op0Or1bImveNgwnsFQfjBRQTlARmPxyQSCebn5xmPx/T7fbLZLLlcjk6nQ6fTIQgCHMeh3W7TarVIJBI2+a/X65FMJimVSqytrdnmVLVazSbuGUG6dOkSSinC4TA3btwgn89z+vRp3njjDVzX5cSJE7bkirm2CR82PhOtte08aPqpVKtVm6tieqQb85RxuCeTyTe1uxUEQbgXIigPiO/7RKNRYH8Bd12XeDxOOBymWq2SSqXo9Xo2odH0KJ+dnaXT6eC6LlNTU/i+j+u6aK25ceMGQRDw7LPP2lazt2/fplqtsry8zI0bN2i325TLZZuHMjc3ZxMcK5WKLeVyMOHQFJ30PO+OUGBjtjMZ+SY7PRqNUqvViMViTE1NiQ9EEIQH4rEJilLqGeBfAHHAB35Ja/1ttb9K/Qbw40Af+M+11i9P3vM54O9PLvGPtNa/Mxl/DvhXQAL4A+DvaK3145r7vQiCwGZ4d7td2+PdVA02zZ5MFrzv+5TLZWKxGDdv3qRQKJDNZrl48SLVatVGZi0sLHDy5Eni8bj1zZgQZIAnnniCYrFIs9lkYWGBSqXC1tYW8/PztnKw8ckopWxWuulqeNCpHovFiMViFItFm5vS6XRsLsv09LSIiSAID8zj3KH8T8B/r7X+Q6XUj09e/0fAjwFnJo+PAr8JfFQpVQT+O+ACoIGXlFJf0Vo3Juf8IvAC+4LyGeAPH+Pcj8TkbYTD4TsEJBKJ2AKJm5ubhEIh5ufnuX37tm1Hu7W1ZQtHXrx4katXr9riisPh0P4bi8Vsn5BUKsULL7xgP9s0zpqfn6fT6ZBKpWy0meFgba50Ok2xWLyrr+RgiZbxeGwLTYpTXRCEt8LjFBQNmFjVHLA5ef5Z4HcnO4xvKaXySqlZ9sXma1rrOoBS6mvAZ5RS/wHIaq2/NRn/XeAneQcExfSBD4VCNms8HA7bHiDj8ZjNzU3y+TxBEDAcDm3V3n6/T7FY5Pr166yvr1MulykWi7b7YqvVot1uMxwOUUqRz+dZW1uj3W7T6/UolUosLy/b0iZGUEKhEP1+H8/zcF3X5oCYsinHxXGctxQNJgiCYHicgvJfAl9VSv3PQAj4+GR8Hlg7cN76ZOxe4+tHjL/tBEFAEASEQiHbylZrbX0Uq6uraK3JZrNsbm7i+z71et12HGy1WtTrdU6cOGGd+NFolFKphOu6bG5uUiqVWFpaYnd3l42NDYbDIYlEwopJv99nd3fXdkbs9Xp2fqaIoglZFgRBeDt5KEFRSn0dmDni0K8BPwT8V1rr/1cp9deB3wZ++GE+7xjz+TzweYClpaVHfn1ToqTdblsntimKCLC5uXlHcuFgMCCXyzEYDHj11Vdtt8HFxUU2NzcJh8O2I2M6neby5csUi0U2NjbY3d1lZ2eHYrHIuXPnqNVq1sRmkhhNWfZIJEI0GhW/hyAI7ygPJSha67sKxMQ09XcmL/8f4LcmzzeAxQOnLkzGNtg3ex0c/w+T8YUjzj9qPl8Evghw4cKFR+60D4KATqfDaDSyvdBN8p/JKl9eXqbdbtPv93Ech0984hOsra3x/e9/n3K5TD6f5+LFi+zs7Nh+7KFQiJ2dHfr9PhsbGzYD3RSLzGQytpx8Lpdjbm6O+fl5yfsQBOFdxeO0i2wCn5w8/xRwdfL8K8DPq30+BrS01lvAV4FPK6UKSqkC8Gngq5NjbaXUxyYRYj8PfPkxzvuu+L5viyjm83l2dnao1+s0Gg0uXrxodxCmwm4ul8N1Xa5fv24bT505c8aG5i4vLxOPx22HxEqlYv0upqf74uIiMzMzPP3006TTaYbDIel0WsREEIR3HY/Th/KLwG8opcLAkIkpiv0orR8HrrEfNvw3AbTWdaXU/wC8ODnvHxoHPfBL/EXY8B/yDjjkARsJlc/nmZ2dtbkho9GIy5cvUygUbG6IcdJfu3aNIAj45Cc/ycLCAolEAsdxKBQKNmN9a2uLmZkZPvCBD3Dt2jVarRbpdJq5uTlWVlaseORyOdrt9h1FJAVBEN4tPDZB0Vp/E3juiHEN/PJd3vMvgX95xPh3gPOPeo4PiklGNI2tPM9jZWWFb3/726RSKc6fP8/e3h7hcNj2M+n3+5w7d46Pf/zjVKtVtre3SaVSZLNZrl69SiwWo9Vq2YrB6XTatv2tVCp37EQKhYJtAywIgvBuQ1amB8CYu0yuSCQSYWdnh52dnTv8GpVKxdbgMpnrW1tbdLtddnd3AUilUgwGA65evYrjOExNTVEoFJienrafcVSFYBETQRDerUjplQfAmLxMb3fHcVhdXaXf75PJZHjttddsdNbOzg5nzpyxpq1oNEoqlWI8HhOLxZifn7e95nO5HLlcjnA4TKvVotvtUiqVHiiPRBAE4Z1GBOUB8H2f4XBItVplMBgwNzfHaDQin8+TSCSo1WqEw2Ha7TYrKyucO3eOcrlsqwn3+30ikYit4Nvr9VhcXERrzc7ODrOzs7aviPRdFwThvYYIygPg+z69Xo/bt29z/vx565gfDofA/g7GdEQ8f/68DS02x6rVKrFYjEwmQ71eJwgCW7V4Z2eH27dv02w2bRVgQRCE9xJikH8ARqMR1WqVTqfD/Pw8g8GASCRi2+H2ej3bh6RUKhEOh21Rxmq1itaacrmM7/t0Oh0ymQyRSIR4PE65XKZWq9Hr9SiXy7YApSAIwnsFEZQHwHVdhsMh0WjUVhoej8fs7e3ZfiO5XI6FhQXbwCoej9NutxkMBhSLRSKRCI1Gg1AodEfzqng8bjPmJSxYEIT3IiIoD4DrujZ5cXd3l3Q6zc2bN6nX6wwGAyqVCpVKhampKfr9PslkktFoRKPRIJlMkslkGA6Htquj4zj22p1Oh3Q6zblz52wpF0EQhPcSIigPwGg0wvM8m7S4vr7O6uoq0WiUfD5PLpcjmUza6K1EIsHe3h6hUIhSqQRAvV4nHA7fERJsStMnEglisdg79eMJgiA8FGKofwCMj0QpxXA4tImJlUqFWCxGPp+33RjNOaPRiOnpaRzHodvt4nnem7ohDgYDfN+XlruCILynEUE5Jlpr24nRZLYDth/70tISuVyORCJBv98H9s1Y2WyWRCKB1ppGo0EsFiOVSt1x7U6nQzgclrwTQRDe04jJ65horW273Hq9zvz8PJlMhm63y/Ly8h09SDzPYzAYEI1GKRQKALTbbcbjsX1t8H2fwWBAOp2WvBNBEN7TiKAckyAI6Pf7dDodEokElUqFVqtFqVRibm7OdnI0lYJjsRjlchmlFOPxmFarRTKZfJPDvdPpAJDJZN6JH0sQBOGRIYJyTIIgoNvt2tIptVqNXC7HysoKrVbLnmMSFkulku313mw20Vq/aXeitabT6ZBMJu+I+BIEQXgvIoJyTIIgYDAYMBqNrMN9dnaWhYUFa87qdru0Wi2mp6dtFNdoNLojifEgvV6PIAiOLAIpCILwXkME5ZiYHYrWGsdxGI1GzMzMUCqVGI/HbG5u2qZaJkQYsEmMRyUrdjodmykvCILwXkcE5ZiMx2M6nQ7j8dhmwFcqFZRSDAYDW4MrlUrZaK27JTHCvuPedV3xnQiC8L5BBOWYBEFAu90mCAJbALJUKtFut/F9n1AoRDQaJR6P22ivo5IYDZ1OB6WUFIEUBOF9gwjKMTG+kFAoRCQSIZfLEYlE2N7eJp1OMzU1ZSO5AJvEWCgU3hQObMxnqVRKGmYJgvC+QRIbj4kxX2mticfjpNNp9vb2CILgjgrC0WgUrTXNZtM21TpMr9dDay3mLkEQ3leIoBwTU2l4PB4zGo2o1Wq230kikcD3fTzPo9frMRwO8X2fmZmZI69lhEfqdgmC8H5CBOWYDAYDXNclFArZulxBENi2vo7jUCwW6Xa7AEcmMcL+TsfzvDsiwQRBEN4PiAH/mLiui+u69vXp06fJZrO0Wi3W19fxPI/p6WmCICAIgjclMRqMH0ac8YIgvN+QHcoxMYUhI5EIyWSSubk5qtUqSilarRatVotisUg0GiWRSBAKhWy1Yc/z7L8mkVHqdgmC8H5DBOWYDAYDPM8jkUiQzWbRWuN5HslkkkgkQiaTwXVd28XRlGMBbGRYKpWy5wqCILzfeGyCopT6EPAvgDRwE/jPtNbtybFfBX4BGAN/W2v91cn4Z4DfABzgt7TWvz4ZPwl8CSgBLwF/Q2vtPa65H0WtViMIAhzHIZ1O47ouvu/bqK+ZmRnC4TCtVsvmqkQiESKRiPSHFwThB4LH6UP5LeBXtNZPA78P/DcASqkngZ8FngI+A/xzpZSjlHKAfwb8GPAk8HOTcwH+MfBPtNangQb7YvS2Uq/XbWHIVCpl/Smj0YhYLEYsFrOO+XK5bPugiJgIgvCDwuMUlCeA5yfPvwb8J5PnnwW+pLV2tdY3gGvARyaPa1rr1cnu40vAZ9W+s+FTwL+ZvP93gJ98jPM+kmazaXceqVSK0WhkHfAmmVEQBOEHmccpKK+zLx4APwMsTp7PA2sHzlufjN1tvAQ0tdb+ofE3oZT6vFLqO0qp7+zt7T2SHwL2dyHNZpPxeEwqlSIcDjMajfB9n2g0KoIiCILAQwqKUurrSqnXjnh8FvgvgF9SSr0EZIDH7vPQWn9Ra31Ba31hamrqkV3X8zxarRZKKZLJJOFwGM/zGI/HJBIJqRYsCILAQzrltdY/fJ9TPg2glHoC+InJ2AZ/sVsBWJiMcZfxGpBXSoUnu5SD578tjEYjm7CYTqdxHAetNaPRSEKABUEQJjw2k5dSqjL5NwT8ffYjvgC+AvysUio2id46A3wbeBE4o5Q6qZSKsu+4/4rWWgPfAH568v7PAV9+XPM+itFoRLvdBrA7FNd1CYfDYu4SBEGY8Dh9KD+nlLoCXAY2gf8DQGv9OvB7wEXg3wO/rLUeT3Yffwv4KnAJ+L3JuQB/D/i7Sqlr7PtUfvsxzvtNeJ5Hv9/HcRzi8ThKKVzXJRaL2d4ngiAIP+g8tphWrfVvsJ9TctSxLwBfOGL8D4A/OGJ8lf0osHeE4XDIYDAgFAoRi8UYj8eMx2NyuZyUnxcEQZggq+Ex6PV6jEYjHMchFovheR5KKfL5/Ds9NUEQhHcNIijH4KCgJBIJer2eTXAUBEEQ9hFBOQatVgvf93Ech2g0Sq/XI5PJvKlPvCAIwg8yIij3IQgCGo0Gvu8TiURQSt2zPL0gCMIPKiIo92E8HtPtdm0TrSAICIVCIiiCIAiHEEG5D77v0263GY/HxONxtNak02mi0eg7PTVBEIR3FSIo98HzPBqNBlprW1FYesELgiC8GRGU++C6Lu12G601kUgEx3EkuksQBOEIRFDuw3A4pNvtEgqFiEajUm5FEAThLoig3AfXdel0OrYzYyQSkXIrgiAIRyCCch8GgwGu66KUsjsUERRBEIQ3I4JyH/r9Pp6338rF9IgXp7wgCMKbEUG5B1prut2uzZKPRCJEo1Eikcg7PTVBEIR3HSIo98D3fXq9Hq7rWqd8NBqVkiuCIAhHIIJyD1zXxXVdPM/DcRwcx5EIL0EQhLsggnIPTB8U3/cJh8MiKIIgCPdABOUemKTGIAhslFc6nX6npyUIgvCuRATlHriuS7/fJwgCwuEwsVhMdiiCIAh3QQTlHhw0eZleKFJ2RRAE4WhEUO6B53m4rksQBDYHRXYogiAIRyOCcg8GgwGj0cg214rFYpLUKAiCcBdEUO7CeDy+o+yKKVsvSY2CIAhHI4JyFzzPYzQaMRwOAQiFQiQSCUlqFARBuAsPJShKqZ9RSr2ulAqUUhcOHftVpdQ1pdQbSqkfPTD+mcnYNaXUrxwYP6mUemEy/q+VUtHJeGzy+trk+ImHmfNxGQ6HVlRgv45XKpVCKfV2fLwgCMJ7jofdobwG/BTw/MFBpdSTwM8CTwGfAf65UspRSjnAPwN+DHgS+LnJuQD/GPgnWuvTQAP4hcn4LwCNyfg/mZz32DFZ8sPhEKUU4XBYclAEQRDuwUMJitb6ktb6jSMOfRb4ktba1VrfAK4BH5k8rmmtV7XWHvAl4LNq/7b/U8C/mbz/d4CfPHCt35k8/zfAD6m3YZswHA7xfd/6UEKhkIQMC4Ig3IPH5UOZB9YOvF6fjN1tvAQ0tdb+ofE7rjU53pqc/1g5vEOJx+PSB0UQBOEehO93glLq68DMEYd+TWv95Uc/pbeOUurzwOcBlpaWHupanufh+z6+v69xsVhMdiiCIAj34L6CorX+4bdw3Q1g8cDrhckYdxmvAXmlVHiyCzl4vrnWulIqDOQm5x811y8CXwS4cOGCfgvzNtdhOBwyGo3wPA+lFOl0WnYogiAI9+Bxmby+AvzsJELrJHAG+DbwInBmEtEVZd9x/xWttQa+Afz05P2fA7584Fqfmzz/aeCPJ+c/Nsbjsc1D0VrbfvLRaPRxfqwgCMJ7mocNG/5rSql14C8D/04p9VUArfXrwO8BF4F/D/yy1no82X38LeCrwCXg9ybnAvw94O8qpa6x7yP57cn4bwOlyfjfBWyo8eNiNBrZ3cloNCIUCpFMJmWHIgiCcA/ua/K6F1rr3wd+/y7HvgB84YjxPwD+4IjxVfajwA6PD4GfeZh5PihGTDzPQ2tNOBwmkUgQj8ffzmkIgiC8p5BM+SMwXRrH4zG+76OUIplMStkVQRCEeyCCcgSu6+L7vo30chyHXC5HKCRflyAIwt2QFfIITFLjwSz5VColgiIIgnAPZIU8Atd1bdn6IAhwHId0Oi11vARBEO6BCMohgiBgNBoxHo8ZDocEQUA0GpUIL0EQhPsggnII3/cZj8cEQWB3KCIogiAI90cE5RCj0eiOXYpJapTWv4IgCPdGBOUQJrrLJDWaHYrkoAiCINwbEZRDpNNpcrncHTko8XhceskLgiDcBxGUIwiFQrb8itaaWCwmPhRBEIT7IIJyiPF4TL/ft6XrJUteEATheIigHOJguLDJkpekRkEQhPsjq+QhTIa8Kb9iKg1LUqMgCMK9EUE5AuM/MYKSyWRkhyIIgnAfZJU8RCaTIZfL4XmeLbsiJi9BEIT7I6vkEZj2v8aHks1mRVAEQRDug6ySRzAcDm3p+kgkIjsUQRCEYyCr5CFML3mTJe84jvhQBEEQjoGskocwpVe01mitbel6ERRBEIR7I6vkIfr9PqPRCNd10VoTiUREUARBEI6BrJKH6PV6tmy9UopYLEY0GpU8FEEQhPsggnIIk9BoRCUejxMOh9/paQmCILzrEUE5RDweJ5VKobUmFAoRi8XE3CUIgnAMHmqlVEr9jFLqdaVUoJS6cGC8pJT6hlKqq5T63w+95zml1PeVUteUUv9UTWxJSqmiUuprSqmrk38Lk3E1Oe+aUupVpdSHH2bO9yOdTt/R+ySRSIigCIIgHIOHXSlfA34KeP7Q+BD4b4H/+oj3/Cbwi8CZyeMzk/FfAf5Ia30G+KPJa4AfO3Du5yfvf2zkcjkSiQRaawDJQREEQTgmD7VSaq0vaa3fOGK8p7X+JvvCYlFKzQJZrfW39P6K/bvAT04Ofxb4ncnz3zk0/rt6n28B+cl1HhvdbhfP82xhSBEUQRCE+/N2r5TzwPqB1+uTMYBprfXW5Pk2MH3gPWt3ec9jodvtMhqNbC8UERRBEIT7c9/wJaXU14GZIw79mtb6y49+SqC11kop/aDvU0p9nn2zGEtLS2/587vdrrkeqVRKQoYFQRCOwX0FRWv9w4/w8zaAhQOvFyZjADtKqVmt9dbEpLV74D2Ld3nP4bl+EfgiwIULFx5YkAzdbpfxeIxSSpIaBUEQjsnbulJOTFptpdTHJtFdPw+YXc5XgM9Nnn/u0PjPT6K9Pga0DpjGHjm+79Pr9WxiozjlBUEQjsdDZewppf4a8L8BU8C/U0p9V2v9o5NjN4EsEFVK/STwaa31ReCXgH8FJIA/nDwAfh34PaXULwC3gL8+Gf8D4MeBa0Af+JsPM+f74bounucBSB0vQRCEB+ChBEVr/fvA79/l2Im7jH8HOH/EeA34oSPGNfDLDzPPB6HX69k6XqFQSHYogiAIx0RWykO0221bdiUcDssORRAE4ZjISnmIZrNJEAQEQUA0GiUajYqgCIIgHANZKQ/h+z7RaBSAaDSK4zgiKIIgCMdAVspDTE9Pc+bMGWC/UKTjOJKHIgiCcAxEUA5hWv/6vm9L18sORRAE4f7ISnmIUqnE7OwsWmvi8TihUEgERRAE4RjISnmIbDZLMpkkCAKSySSRSOSdnpIgCMJ7AhGUQ0QiEcbjMePxmEQigeM47/SUBEEQ3hOIoBxBt9tFKWWd8oIgCML9EUE5gmazKb1QBEEQHhBZLY/A7FCk/a8gCMLxkdXyEFprOp0OjuMQj8clB0UQBOGYiKAcwvM8+v2+mLwEQRAeEFktD+F5HsPhkFAoRCwWE0ERBEE4JrJaHsLzPFzXJRwOiw9FEAThAZDV8hCj0Yh+v084HJZKw4IgCA+ArJaHiEQihMNhYrGYmLwEQRAeAFktD+H7PlprIpGIlK4XBEF4AGS1PMRgMMDzPGKxmJSuFwRBeABEUA4Rj8eJxWLSXEsQBOEBkdXyEMPhEM/zpHS9IAjCAyKr5SHG4zFBEJBIJKS5liAIwgMgq+UhQqEQ0WjUVhoWQREEQTgeD7VaKqV+Rin1ulIqUEpdODD+I0qpl5RS35/8+6kDx56bjF9TSv1TNfF6K6WKSqmvKaWuTv4tTMbV5LxrSqlXlVIffpg53w/P8wiFQrb9ryAIgnA8Hvb2+zXgp4DnD41Xgf9Ya/008Dng/zxw7DeBXwTOTB6fmYz/CvBHWuszwB9NXgP82IFzPz95/2MjHo+TyWSIRCLSrVEQBOEBeChB0Vpf0v9/e3cfI1d13nH8+8PLrlkcLzgYxzIvJk1CBEgFdyGgQhQVSoCmdSBtkzQStCARQmibRFHrFCnKH/kDgqq0VaMS50WBiAbyUjeWaGqgTSAlso1xbLBDHS8OUewY4wCBUFc03nn6x33GuXszs7szc8ezht9HGu2dc9+eOTN7zpx77pwTsaNF+vcj4qf5dDtwjKQRSUuBhRGxPiICuBN4Z6M8aRQAAAvFSURBVG63Ergjl++opN8ZhfXAcXmcvpicnGT+/PmH7vIyM7PZORwdBO8CNkfEy8AyYHdp3e5MA1gSEXtz+WlgSS4vA37SZp/aHThwgEaj4QrFzKxDM3YSSHoAeF2LVTdHxDdn2PdM4Fbg0k6CioiQFJ3sk+e7nuKyGKecckqnuwPFDxsjgpGREfehmJl1YMYSMyIu6ebAkk4C1gBXR8STmbwHOKm02UmZBrBP0tKI2JuXtJ4p7XNym32qsa4GVgOMj493XCEBNBoNhoaGDv0OxczMZqcvJaak44B7gVUR8XAzPS9pvSjp/Ly762qg2cpZS9GBT/4tp1+dd3udD7xQujRWu6VLl3L66ad76Hozsw71etvwlZJ2AxcA90pal6tuAt4AfFzSlnycmOtuBD4PTABPAt/K9FuA35W0E7gknwP8G7Art/9c7t83Y2NjLFmyxL+SNzPrUE+dBBGxhuKyVjX9k8An2+yzCTirRfqzwMUt0gP4YC9xdkIS8+bN848azcw65BKzojnC8NFHH+0KxcysAy4xK0ZHRxkbG3MLxcysQy4xKxqNBo1Gg6OOOspzoZiZdcAVSkVEMDk56RaKmVmHXGJWNBoNVyhmZl1wiVnRvOTluVDMzDrjErPi4MGDNBoNJLlCMTPrgEvMikajQUT4kpeZWYdcYlYcPHiQiGB4eHjQoZiZHVFcoVQ055T35FpmZp1xhVIxOjrKokWLPBeKmVmHXKFUNIddcYViZtYZVygVEXHotmEzM5s9VygVzbu8XKGYmXXGFUpFs4XiS15mZp1xhVIxMjLCggUL3EIxM+uQK5SK4eFhFi5c6B81mpl1yKVmRaPRAPDQ9WZmHXKFUtGsUNxCMTPrjEvNClcoZmbdcalZERGAKxQzs0651KxwC8XMrDsuNStcoZiZdcelZoUrFDOz7vRUakr6I0nbJTUkjZfSz5O0JR9bJV1ZWneZpB2SJiStKqWfJmlDpt8jaTjTR/L5RK5f3kvMMxkaGmJ0dNS3DZuZdajXr+HbgKuAh1qkj0fE2cBlwGclDUmaB3wGuBw4A3ivpDNyn1uBT0fEG4Dngesy/Trg+Uz/dG7XN6Ojo5x44omuUMzMOtRThRIRT0TEjhbpByLiYD6dD0QunwdMRMSuiPg/4G5gpYrS+3eAr+d2dwDvzOWV+Zxcf7Fc2puZzTl96yiQ9BZJ24HHgRuyglkG/KS02e5Mey3w81Il1EynvE+ufyG3b3XO6yVtkrRp//79db8kMzObxowViqQHJG1r8Vg53X4RsSEizgTOBT4maX5dQU9zztURMR4R44sXL+736czMrGTGIXUj4pJeThART0h6CTgL2AOcXFp9UqY9CxwnaShbIc10SvvsljQEjOX2ZmY2h/TlklfesTWUy6cCbwaeAh4B3pjrh4H3AGuj+Hn6t4E/zENcA3wzl9fmc3L9f0bz5+xmZjZn9Hrb8JWSdgMXAPdKWperLgS2StoCrAFujIifZevjJmAd8ATw1YjYnvv8NfARSRMUfSRfyPQvAK/N9I8Ah241NjOzuUOv1C/74+PjsWnTpkGHYWZ2RJH0aESMz7zlr/PPwc3MrBav2BaKpP3Aj7vc/QTgZzWGUyfH1h3H1h3H1p0jObZTI6Kr22RfsRVKLyRt6rbJ12+OrTuOrTuOrTuv1th8ycvMzGrhCsXMzGrhCqW11YMOYBqOrTuOrTuOrTuvytjch2JmZrVwC8XMzGrhCqWi3QRgfTzfyZK+LekHOVnZX2b6JyTtKU1UdkVpn49lfDskvb3fsUt6StLjGcemTFsk6X5JO/Pv8ZkuSf+QMTwmaUXpONfk9jslXdPufB3EdXopf7ZIelHShwaVd5K+KOkZSdtKabXlk6TfyvdhIved9TQObWK7TdJ/5/nXSDou05dL+t9S/t0+UwztXmcPsdX2HqrN5H09xHZPKa6nVIwIMoh8a1d2DO4zFxF+5AOYBzwJvB4YBrYCZ/T5nEuBFbn8GuCHFJOPfQL4aIvtz8i4RoDTMt55/YydYhy2EyppnwJW5fIq4NZcvgL4FiDgfGBDpi8CduXf43P5+Jrfu6eBUweVd8BbgRXAtn7kE7Axt1Xue3mPsV0KDOXyraXYlpe3qxynZQztXmcPsdX2HgJfBd6Ty7cDH+gltsr6vwU+PqB8a1d2DOwz5xbKVC0nAOvnCSNib0RszuVfUIxxtmyaXVYCd0fEyxHxI2Ai4z7csZcnPqtOiHZnFNZTjCK9FHg7cH9EPBcRzwP3U8zmWZeLgScjYrofs/Y17yLiIeC5FufsOZ9y3cKIWB/Ff/qdpWN1FVtE3Be/moNoPcUo323NEEO719lVbNPo6D3Mb9TtJu/rKbY89h8DX5nuGH3Mt3Zlx8A+c65Qpmo3AdhhIWk5cA6wIZNuyqbpF0tN4XYx9jP2AO6T9Kik6zNtSUTszeWngSUDjA+KkavL/9hzJe/qyqdludyPGAGupfgG2nSapO9LelDSRaWY28XQ7nX2oo73cLrJ+3p1EbAvInaW0gaSb5WyY2CfOVcoc4SkBcA3gA9FxIvAPwG/AZwN7KVoWg/KhRGxArgc+KCkt5ZX5reXgd0umNfE/wD4WibNpbw7ZND51I6km4GDwF2ZtBc4JSLOoRjh+58lLZzt8Wp6nXPyPax4L1O/xAwk31qUHT0fs1uuUKZqNwFYX0k6muIDcVdE/AtAROyLiMmIaACfo2jSTxdj32KPiD359xmK6QjOA/Zlk7jZpH9mUPFRVHSbI2Jfxjln8o768mkPUy9J1RKjpD8F3gG8Lwsf8nLSs7n8KEXfxJtmiKHd6+xKje/hocn7WsTctTzeVcA9pZgPe761KjumOWb/P3Oz7QB6NTwoZrDcRdHZ1+zYO7PP5xTFtcm/q6QvLS1/mOK6McCZTO2U3EXRIdmX2IFjgdeUlr9H0fdxG1M7/j6Vy7/H1I6/jZm+CPgRRaff8bm8qKY8vBv4s7mQd1Q6ZuvMJ369g/SKHmO7DPgBsLiy3WJgXi6/nqIQmTaGdq+zh9hqew8pWq7lTvkbe4mtlHcPDjLfaF92DOwz17eC8kh9UNwJ8UOKbxc3H4bzXUjRJH0M2JKPK4AvA49n+trKP9jNGd8OSndd9CP2/MfYmo/tzeNSXJv+D2An8EDpAyjgMxnD48B46VjXUnSiTlCqAHqM71iKb6FjpbSB5B3F5Y+9wC8prjdfV2c+AePAttznH8kfJvcQ2wTFtfPm5+723PZd+V5vATYDvz9TDO1eZw+x1fYe5md4Y77erwEjvcSW6V8Cbqhse7jzrV3ZMbDPnH8pb2ZmtXAfipmZ1cIVipmZ1cIVipmZ1cIVipmZ1cIVipmZ1cIVitkMJH0v/y6X9Cc1H/tvWp3L7Ejk24bNZknS2yhGwH1HB/sMxa/GkWq1/qWIWFBHfGaD5haK2QwkvZSLtwAX5VwXH5Y0T8WcIo/kIIbvz+3fJum7ktZS/BIdSf+ag2tubw6wKekW4Jg83l3lc+XcFbdJ2pbzUby7dOzvSPq6irlM7ppxjgqzw2Ro5k3MLK2i1ELJiuGFiDhX0gjwsKT7ctsVwFlRDLEOcG1EPCfpGOARSd+IiFWSboqIs1uc6yqKgRF/Ezgh93ko151DMQTJT4GHgd8G/qv+l2vWGbdQzLp3KXC1ihn7NlAMefHGXLexVJkA/IWkrRTzjpxc2q6dC4GvRDFA4j7gQeDc0rF3RzFw4haKsabMBs4tFLPuCfjziFg3JbHoa/mfyvNLgAsi4oCk7wDzezjvy6XlSfx/bHOEWyhms/cLiqlWm9YBH8ghxJH0JknHtthvDHg+K5M3U4ze2vTL5v4V3wXenf00iymmot1Yy6sw6xN/szGbvceAybx09SXg7ykuN23OjvH9tJ4i9d+BGyQ9QTFC7vrSutXAY5I2R8T7SulrgAsoRnkO4K8i4umskMzmJN82bGZmtfAlLzMzq4UrFDMzq4UrFDMzq4UrFDMzq4UrFDMzq4UrFDMzq4UrFDMzq4UrFDMzq8X/A2i7xDIgENamAAAAAElFTkSuQmCC\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" initial_temperature=50,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-random-trigram-uniform-50.csv')\n",
+ "workers, trace = dump_result(start_time, 'sa-random-trigram-uniform-50.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 122,
+ "execution_count": 79,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 122,
+ "execution_count": 79,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" plain_alphabet=plain_alpha, cipher_alphabet=ct_alpha,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-given-trigram-uniform.csv')\n",
+ "workers, trace = dump_result(start_time, 'sa-given-trigram-uniform.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 123,
+ "execution_count": 80,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 123,
+ "execution_count": 80,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" initial_temperature=50,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-given-trigram-uniform-50.csv')\n",
+ "workers, trace = dump_result(start_time, 'sa-given-trigram-uniform-50.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 124,
+ "execution_count": 81,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 124,
+ "execution_count": 81,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" plain_alphabet=plain_alpha, cipher_alphabet=ct_alpha,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-given-trigram-gaussian.csv', verbose=True)\n",
+ "workers, trace = dump_result(start_time, 'sa-given-trigram-gaussian.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 125,
+ "execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994096\n"
+ "-6794.348261349827\n"
]
},
{
"data": {
"text/plain": [
- "('eolbrvxtpqzuhdyswcmkigfnja',\n",
- " 'rkyepdtmcbuihfjlvxsogznqwa',\n",
- " 'eolbrvxtpqzuhdyswcmkigfnja',\n",
+ "('qkicfaygbnweojuxhptlsvrdmz',\n",
+ " 'fluqbjgtpcesormiayxkvwdnhz',\n",
+ " 'qkicfaygbnweojuxhptlsvrdmz',\n",
" 1.0)"
]
},
- "execution_count": 125,
+ "execution_count": 82,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
" initial_temperature=50,\n",
" workers=24)\n",
"print(score)\n",
- "workers, trace = dump_result(start_time, 'sa-given-trigram-gaussian-50.csv', verbose=True)\n",
+ "workers, trace = dump_result(start_time, 'sa-given-trigram-gaussian-50.csv', verbose=True, target_cipher_alphabet=ct_key)\n",
"\n",
"fig, ax = plt.subplots()\n",
"for w in workers:\n",
},
{
"cell_type": "code",
- "execution_count": 126,
+ "execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
},
{
"cell_type": "code",
- "execution_count": 127,
+ "execution_count": 84,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-2494.549133086381 -3935.561885011543 sa-random-unigram-uniform.csv\n",
- "-2494.549133086381 -3862.1721721032586 hillclimbing-random-unigram-uniform.csv\n"
+ "-2516.00992398943 -3869.307250218112 sa-random-unigram-uniform.csv\n",
+ "-2516.00992398943 -3839.3134735383337 hillclimbing-random-unigram-uniform.csv\n"
]
}
],
},
{
"cell_type": "code",
- "execution_count": 128,
+ "execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "-6762.002908994095 -12382.205332762649 hillclimbing-random-trigram-uniform.csv\n",
- "-6762.002908994095 -8523.074815108963 sa-given-trigram-uniform-50.csv\n",
- "-6762.002908994095 -12897.908909587839 sa-random-trigram-uniform-50.csv\n",
- "-6762.002908994095 -8347.978847763903 hillclimbing-given-trigram-uniform.csv\n",
- "-6762.002908994095 -11531.53274337052 sa-given-trigram-gaussian.csv\n",
- "-6762.002908994095 -8347.978847763903 hillclimbing-given-trigram-gaussian.csv\n",
- "-6762.002908994095 -12999.784533122312 sa-random-trigram-uniform.csv\n",
- "-6762.002908994095 -8612.777635758275 sa-given-trigram-gaussian-50.csv\n",
- "-6762.002908994095 -10935.574066404368 sa-given-trigram-uniform.csv\n"
+ "-6794.348261349826 -12720.143220102082 hillclimbing-random-trigram-uniform.csv\n",
+ "-6794.348261349826 -8829.190767456532 sa-given-trigram-uniform-50.csv\n",
+ "-6794.348261349826 -12353.066243453513 sa-random-trigram-uniform-50.csv\n",
+ "-6794.348261349826 -8615.89272592576 hillclimbing-given-trigram-uniform.csv\n",
+ "-6794.348261349826 -11354.213044609856 sa-given-trigram-gaussian.csv\n",
+ "-6794.348261349826 -8615.89272592576 hillclimbing-given-trigram-gaussian.csv\n",
+ "-6794.348261349826 -12473.766416410037 sa-random-trigram-uniform.csv\n",
+ "-6794.348261349826 -8812.095650467198 sa-given-trigram-gaussian-50.csv\n",
+ "-6794.348261349826 -11135.426970803037 sa-given-trigram-uniform.csv\n"
]
}
],
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.7"
+ "version": "3.6.8"
}
},
"nbformat": 4,
projects / cipher-tools.git / blobdiff