def print_failures(prefix, outfile=sys.stdout):
params = load_params(prefix)
failures = []
for level in range(1, params.search_depth + 1):
ok_counts = collections.defaultdict(int)
fail_counts = collections.defaultdict(int)
for expt_name in all_experiment_names(prefix):
for _, structure in storage.load(experiments.structures_file(expt_name, level)):
for split_id in range(params.num_splits):
for sample_id in range(params.num_samples):
ok = False
fname = experiments.scores_file(expt_name, level, structure, split_id, sample_id)
if storage.exists(fname):
row_loglik, col_loglik = storage.load(fname)
if np.all(np.isfinite(row_loglik)) and np.all(np.isfinite(col_loglik)):
ok = True
if ok:
ok_counts[structure] += 1
else:
fail_counts[structure] += 1
for structure in fail_counts:
if ok_counts[structure] > 0:
failures.append(presentation.Failure(structure, level, False))
else:
failures.append(presentation.Failure(structure, level, True))
presentation.print_failed_structures(failures, outfile)
def print_failures(prefix, outfile=sys.stdout):
params = load_params(prefix)
failures = []
for level in range(1, params.search_depth + 1):
ok_counts = collections.defaultdict(int)
fail_counts = collections.defaultdict(int)
for expt_name in all_experiment_names(prefix):
for _, structure in storage.load(
experiments.structures_file(expt_name, level)):
for split_id in range(params.num_splits):
for sample_id in range(params.num_samples):
ok = False
fname = experiments.scores_file(
expt_name, level, structure, split_id, sample_id)
if storage.exists(fname):
row_loglik, col_loglik = storage.load(fname)
if np.all(np.isfinite(row_loglik)) and np.all(
np.isfinite(col_loglik)):
ok = True
if ok:
ok_counts[structure] += 1
else:
fail_counts[structure] += 1
for structure in fail_counts:
if ok_counts[structure] > 0:
failures.append(presentation.Failure(structure, level, False))
else:
failures.append(presentation.Failure(structure, level, True))
presentation.print_failed_structures(failures, outfile)
def print_failures(name, outfile=sys.stdout):
params = storage.load(params_file(name))
failures = []
for level in range(1, params.search_depth + 1):
for _, structure in storage.load(structures_file(name, level)):
total_ok = 0
for split_id in range(params.num_splits):
for sample_id in range(params.num_samples):
fname = scores_file(name, level, structure, split_id, sample_id)
if storage.exists(fname):
row_loglik, col_loglik = storage.load(fname)
if np.all(np.isfinite(row_loglik)) and np.all(np.isfinite(col_loglik)):
total_ok += 1
if total_ok == 0:
failures.append(presentation.Failure(structure, level, True))
elif total_ok < params.num_splits * params.num_samples:
failures.append(presentation.Failure(structure, level, False))
presentation.print_failed_structures(failures, outfile)
def print_failures(name, outfile=sys.stdout):
params = storage.load(params_file(name))
failures = []
for level in range(1, params.search_depth + 1):
for _, structure in storage.load(structures_file(name, level)):
total_ok = 0
for split_id in range(params.num_splits):
for sample_id in range(params.num_samples):
fname = scores_file(name, level, structure, split_id, sample_id)
if storage.exists(fname):
row_loglik, col_loglik = storage.load(fname)
if np.all(np.isfinite(row_loglik)) and np.all(np.isfinite(col_loglik)):
total_ok += 1
if total_ok == 0:
failures.append(presentation.Failure(structure, level, True))
elif total_ok < params.num_splits * params.num_samples:
failures.append(presentation.Failure(structure, level, False))
presentation.print_failed_structures(failures, outfile)
