performance measurements
Each table row shows performance measurements for this Nuitka program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 2,500,000 | 5.59 | 2.59 | 72,224 | 2016 | 69% 14% 2% 63% 38% 7% 23% 5% |
Read the ↓ make, command line, and program output logs to see how this program was run.
Read fasta benchmark to see what this program should do.
notes
fasta Nuitka #5 program source code
# The Computer Language Benchmarks Game
# http://benchmarksgame.alioth.debian.org/
#
# submitted by Joerg Baumann
from bisect import bisect
from contextlib import closing, contextmanager
from itertools import accumulate, chain, islice, zip_longest
from multiprocessing import Lock, RawValue, Process
from os import cpu_count
from re import sub
from sys import argv, stdout
write = stdout.buffer.write
def acquired_lock():
lock = Lock()
lock.acquire()
return lock
def started_process(target, args):
process = Process(target=target, args=args)
process.start()
return process
@contextmanager
def lock_pair(pre_lock=None, post_lock=None, locks=None):
pre, post = locks if locks else (pre_lock, post_lock)
if pre:
pre.acquire()
yield
if post:
post.release()
def write_lines(
sequence, n, width, lines_per_block=10000, newline=b'\n', table=None):
i = 0
blocks = (n - width) // width // lines_per_block
if blocks:
for _ in range(blocks):
output = bytearray()
for i in range(i, i + width * lines_per_block, width):
output += sequence[i:i + width] + newline
else:
i += width
if table:
write(output.translate(table))
else:
write(output)
output = bytearray()
if i < n - width:
for i in range(i, n - width, width):
output += sequence[i:i + width] + newline
else:
i += width
output += sequence[i:n] + newline
if table:
write(output.translate(table))
else:
write(output)
stdout.buffer.flush()
def cumulative_probabilities(alphabet, factor=1.0):
probabilities = tuple(accumulate(p * factor for _, p in alphabet))
table = bytearray.maketrans(
bytes(chain(range(len(alphabet)), [255])),
bytes(chain((ord(c) for c, _ in alphabet), [10]))
)
return probabilities, table
def copy_from_sequence(header, sequence, n, width, locks=None):
sequence = bytearray(sequence, encoding='utf8')
while len(sequence) < n:
sequence.extend(sequence)
with lock_pair(locks=locks):
write(header)
write_lines(sequence, n, width)
def lcg(seed, im, ia, ic):
local_seed = seed.value
try:
while True:
local_seed = (local_seed * ia + ic) % im
yield local_seed
finally:
seed.value = local_seed
def lookup(probabilities, values):
for value in values:
yield bisect(probabilities, value)
def lcg_lookup_slow(probabilities, seed, im, ia, ic):
with closing(lcg(seed, im, ia, ic)) as prng:
yield from lookup(probabilities, prng)
def lcg_lookup_fast(probabilities, seed, im, ia, ic):
local_seed = seed.value
try:
while True:
local_seed = (local_seed * ia + ic) % im
yield bisect(probabilities, local_seed)
finally:
seed.value = local_seed
def lookup_and_write(
header, probabilities, table, values, start, stop, width, locks=None):
if isinstance(values, bytearray):
output = values
else:
output = bytearray()
output[:stop - start] = lookup(probabilities, values)
with lock_pair(locks=locks):
if start == 0:
write(header)
write_lines(output, len(output), width, newline=b'\xff', table=table)
def random_selection(header, alphabet, n, width, seed, locks=None):
im = 139968.0
ia = 3877.0
ic = 29573.0
probabilities, table = cumulative_probabilities(alphabet, im)
if not locks:
with closing(lcg_lookup_fast(probabilities, seed, im, ia, ic)) as prng:
output = bytearray(islice(prng, n))
lookup_and_write(header, probabilities, table, output, 0, n, width)
else:
pre_seed, post_seed, pre_write, post_write = locks
m = cpu_count() * 3 if n > width * 15 else 1
partitions = [n // (width * m) * width * i for i in range(1, m)]
processes = []
pre = pre_write
with lock_pair(locks=(pre_seed, post_seed)):
with closing(lcg(seed, im, ia, ic)) as prng:
for start, stop in zip([0] + partitions, partitions + [n]):
values = list(islice(prng, stop - start))
post = acquired_lock() if stop < n else post_write
processes.append(started_process(
lookup_and_write,
(header, probabilities, table, values,
start, stop, width, (pre, post))
))
pre = post
for p in processes:
p.join()
def fasta(n):
alu = sub(r'\s+', '', """
GGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGA
TCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACT
AAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAG
GCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCG
CCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAA
""")
iub = list(zip_longest('acgtBDHKMNRSVWY',
(.27, .12, .12, .27), fillvalue=.02))
homosapiens = list(zip('acgt', (0.3029549426680, 0.1979883004921,
0.1975473066391, 0.3015094502008)))
seed = RawValue('f', 42)
width = 60
tasks = [
(copy_from_sequence,
[b'>ONE Homo sapiens alu\n', alu, n * 2, width]),
(random_selection,
[b'>TWO IUB ambiguity codes\n', iub, n * 3, width, seed]),
(random_selection,
[b'>THREE Homo sapiens frequency\n', homosapiens, n * 5, width, seed]),
]
if cpu_count() < 2:
for func, args in tasks:
func(*args)
else:
written_1 = acquired_lock()
seeded_2 = acquired_lock()
written_2 = acquired_lock()
locks_sets = [
(None, written_1),
(None, seeded_2, written_1, written_2),
(seeded_2, None, written_2, None),
]
processes = [
started_process(target, args + [locks_sets[i]])
for i, (target, args) in enumerate(tasks)
]
for p in processes:
p.join()
if __name__ == "__main__":
fasta(int(argv[1]))
make, command-line, and program output logs
Sun, 23 Apr 2023 09:10:08 GMT MAKE: make[1]: Vstupuje se do adresáře „/home/dundee/work/pybenchmarks/bencher/tmp/fasta/tmp“ nuitka3 --remove-output fasta.nuitka-5.nuitka Nuitka-Options:INFO: Used command line options: --remove-output fasta.nuitka-5.nuitka Nuitka-Options:WARNING: You did not specify to follow or include anything but main program. Check options and make sure that is intended. Nuitka:INFO: Starting Python compilation with Nuitka '1.5' on Python '3.10' commercial grade 'not installed'. Nuitka-Plugins:INFO: multiprocessing: Injecting pre-module load code for module 'multiprocessing': Nuitka-Plugins:INFO: multiprocessing: Monkey patching "multiprocessing" load environment. Nuitka-Plugins:INFO: multiprocessing: Injecting post-module load code for module 'multiprocessing': Nuitka-Plugins:INFO: multiprocessing: Monkey patching "multiprocessing" for compiled methods. Nuitka:INFO: Completed Python level compilation and optimization. Nuitka:INFO: Generating source code for C backend compiler. Nuitka:INFO: Running data composer tool for optimal constant value handling. Nuitka:INFO: Running C compilation via Scons. Nuitka-Scons:INFO: Backend C compiler: gcc (gcc). Nuitka-Scons:INFO: Backend linking program with 10 files (no progress information available). Nuitka-Scons:WARNING: You are not using ccache. Nuitka:INFO: Removing build directory 'fasta.nuitka-5.nuitka.build'. Nuitka:INFO: Successfully created 'fasta.nuitka-5.nuitka.bin'. cp fasta.nuitka-5.nuitka.bin fasta.nuitka-5.nuitka_run make[1]: Opouští se adresář „/home/dundee/work/pybenchmarks/bencher/tmp/fasta/tmp“ 19.75s to complete and log all make actions COMMAND LINE: ./fasta.nuitka-5.nuitka_run 2500000 (TRUNCATED) PROGRAM OUTPUT: >ONE Homo sapiens alu GGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGA TCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACT AAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAG GCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCG CCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGT GGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCA GGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAA TTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAG AATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCA GCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGT AATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACC AGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTG GTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACC CGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAG AGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTT TGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACA TGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCT GTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGG TTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGT CTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGG CGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCG TCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTA CTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCG AGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCG GGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACC TGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAA TACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGA GGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACT GCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTC ACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGT TCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGC CGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCG CTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTG GGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCC CAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCT GGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGC GCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGA GGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGA GACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGA GGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTG AAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAAT CCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCA GTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAA AAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGC GGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCT ACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGG GAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATC GCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGC GGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGG TCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAA AAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAG GAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACT CCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCC TGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAG ACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGC GTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGA ACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGA CAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCA CTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCA ACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCG CCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGG AGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTC CGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCG AGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACC CCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAG CTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAG CCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGG CCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATC ACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAA AAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGC TGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCC ACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGG CTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGG AGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATT AGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAA TCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGC CTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAA TCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAG CCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGT GGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCG GGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAG CGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTG GGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATG GTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGT AATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTT GCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCT CAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCG GGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTC TCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACT CGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAG ATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGG CGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTG AGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATA CAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGG CAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGC ACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCAC GCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTC GAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCG GGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCT TGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGG CGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCA GCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGG CCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGC GCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGG CGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGA CTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGG CCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAA ACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCC CAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGT GAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAA AGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGG ATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTAC TAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGA GGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGC GCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGG TGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTC AGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAA ATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGA GAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCC AGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTG TAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGAC CAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGT GGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAAC CCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACA GAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACT TTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAAC ATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCC TGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAG GTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCG TCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAG GCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCC GTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCT ACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCC GAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCC GGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCAC CTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAA ATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTG AGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCAC TGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCT CACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAG TTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAG CCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATC GCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCT GGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATC CCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCC TGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGG CGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGG AGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCG AGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGG AGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGT GAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAA TCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGC AGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCA AAAAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGG CGGATCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTC TACTAAAAATACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCG GGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGAT CGCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCG CGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAG GTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACA AAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCA GGAGAATCGCTTGAACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCAC TCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAGGCCGGGCGCGGTGGCTCACGC CTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGA GACCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAATACAAAAATTAGCCGGG CGTGGTGGCGCGCGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTG AACCCGGGAGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCCAGCCTGGGCG ACAGAGCGAGACTCCGTCTCAAAAAGGCCGG