Python data_stats_filename Examples

Example #1

File: noiseless_vs_k_sfftv3.py Project: pombredanne/sft-experiments

random.seed(7524019)
plot = False

sys.stdout = Tee(script_output_filename(tmpdir))

# algs = ['fftw', 'sfft2-eth', 'sfft2-mit', 'sfft1-eth', 'sfft1-mit', 'aafft']
algs = ["sfft3-eth"]

for k in kvals:
    print "k = {}".format(k)
    print "  generating input data ..."
    input_filename = []
    for instance in range(1, num_instances + 1):
        print "    instance {}".format(instance)
        dataf = data_filename(tmpdir, n, k, instance)
        gen_input(n, k, dataf, random.randint(0, 2000000000), stats_file=data_stats_filename(tmpdir, n, k, instance))
        input_filename.append(dataf)
    print "  writing index file ..."
    indexf = index_filename(tmpdir, n, k)
    write_index_file(indexf, input_filename)
    for alg in algs:
        resultsf = results_filename(tmpdir, alg, n, k)
        print "  algorithm: {}".format(alg)
        r = run_experiment(n, k, indexf, alg, l0_eps, num_trials, resultsf)
        ne = num_l0_errors(r)
        if ne > 0:
            print "    {} L0-errors occurred.".format(ne)
    for f in input_filename:
        os.remove(f)

time_results = {}

Example #2

algs = ['fftw', 'sfft2-eth', 'sfft2-mit', 'sfft1-eth', 'sfft1-mit', 'aafft']
#algs = ['sfft3-eth', 'sfft2-eth']

for k in kvals:
    print 'k = {}'.format(k)
    print '  generating input data ...'
    input_filename = []
    for instance in range(1, num_instances + 1):
        print '    instance {}'.format(instance)
        dataf = data_filename(tmpdir, n, k, instance)
        gen_input(n,
                  k,
                  dataf,
                  random.randint(0, 2000000000),
                  stats_file=data_stats_filename(tmpdir, n, k, instance))
        input_filename.append(dataf)
    print '  writing index file ...'
    indexf = index_filename(tmpdir, n, k)
    write_index_file(indexf, input_filename)
    for alg in algs:
        resultsf = results_filename(tmpdir, alg, n, k)
        print '  algorithm: {}'.format(alg)
        r = run_experiment(n, k, indexf, alg, l0_eps, num_trials, resultsf)
        ne = num_l0_errors(r)
        if ne > 0:
            print '    {} L0-errors occurred.'.format(ne)
    for f in input_filename:
        os.remove(f)

time_results = {}

Example #3

File: noiseless_vs_k.py Project: ludwigschmidt/sft-experiments

plot = False

sys.stdout = Tee(script_output_filename(tmpdir))

algs = ['fftw', 'sfft2-eth', 'sfft2-mit', 'sfft1-eth', 'sfft1-mit', 'aafft']
#algs = ['sfft3-eth', 'sfft2-eth']

for k in kvals:
  print 'k = {}'.format(k)
  print '  generating input data ...'
  input_filename = []
  for instance in range(1, num_instances + 1):
    print '    instance {}'.format(instance)
    dataf = data_filename(tmpdir, n, k, instance)
    gen_input(n, k, dataf, random.randint(0, 2000000000),
        stats_file=data_stats_filename(tmpdir, n, k, instance))
    input_filename.append(dataf)
  print '  writing index file ...'
  indexf = index_filename(tmpdir, n, k)
  write_index_file(indexf, input_filename)
  for alg in algs:
    resultsf = results_filename(tmpdir, alg, n, k)
    print '  algorithm: {}'.format(alg)
    r = run_experiment(n, k, indexf, alg, l0_eps, num_trials, resultsf)
    ne = num_l0_errors(r)
    if ne > 0:
      print '    {} L0-errors occurred.'.format(ne)
  for f in input_filename:
    os.remove(f)

time_results = {}