Each table row shows performance measurements for this Python 3 program with a particular command-line input value N.
N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
---|---|---|---|---|---|
2,500,000 | 4.91 | 2.71 | 65,720 | 2016 | 44% 38% 4% 3% 60% 0% 26% 12% |
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.
Python 3.3.1 (default, Apr 11 2013, 12:45:45) [GCC 4.7.2] on linux
# 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]))
Sun, 30 Jul 2023 10:49:58 GMT COMMAND LINE: /usr/bin/python3 fasta.python3-5.python3 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