def extract(output, extracted_params):
rows = [ 0 ] * len(extracted_params)
for i in range(len(extracted_params)):
p = re.compile(extracted_params[i] + '\d+(\.\d+)?')
rows[i] = []
for it in p.finditer(output):
substring = it.group()
# print substring
p = re.compile('\d+(\.\d+)?')
rows[i].append( config_parse.convert(p.search(substring).group()) )
# return non empty rows
return zip(*rows)
def elaborate_data(elaborate, config, invariants):
print("==== Starting data elaboration ====")
# extract the input file name
input_file = do_manual_substitution(elaborate.input_file.currValue(),
config)
print("\t*** The skeleton for input files is: %s ***" % input_file)
dir_skel = os.path.dirname(input_file)
file_skel = os.path.basename(input_file)
# create an iterator through all the directories spawned by this benchmark
dc = configuration.Configuration()
for param_name in extract_parameters(dir_skel):
dc += config.parameters[param_name]
fc = configuration.Configuration()
for param_name in extract_parameters(file_skel):
fc += config.parameters[param_name]
# now iterate through all the directories
for it in iterator.ConfigIterator(dc, invariants):
# for each directory we list the files and look for files which have been generated by the benchmark
curr_dir = dir_skel.format(**it.parameters)
print("\t*** Looking up directory: %s ***" % curr_dir)
for file in os.listdir(curr_dir):
if not file.startswith('~'):
# skip raw files
continue
print("\t\t-> Opening file:", file)
p = re.compile('-{0,1}[a-zA-Z0-9]+')
file_name_vals = [
config_parse.convert(x.group())
for x in p.finditer(os.path.splitext(file)[0])
]
# check number of arguments in file name
if len(file_name_vals) != len(fc):
print(
'\t\t\t# Wrong number of elements in file name: found %d expected %d #, skipping file!'
% (len(file_name_vals), len(fc)))
continue
# if the number of args is correct we now set the configuration values
i = 0
for param_name in fc.parameter_keys():
fc.parameters[param_name].setValue(file_name_vals[i])
i += 1
def elaborate_data(elaborate, config, invariants):
print ("==== Starting data elaboration ====")
# extract the input file name
input_file = do_manual_substitution(elaborate.input_file.currValue(), config)
print ("\t*** The skeleton for input files is: %s ***" % input_file)
dir_skel = os.path.dirname(input_file)
file_skel = os.path.basename(input_file)
# create an iterator through all the directories spawned by this benchmark
dc = configuration.Configuration()
for param_name in extract_parameters(dir_skel):
dc += config.parameters[param_name]
fc = configuration.Configuration()
for param_name in extract_parameters(file_skel):
fc += config.parameters[param_name]
# now iterate through all the directories
for it in iterator.ConfigIterator(dc, invariants):
# for each directory we list the files and look for files which have been generated by the benchmark
curr_dir = dir_skel.format(**it.parameters)
print ("\t*** Looking up directory: %s ***" % curr_dir)
for file in os.listdir(curr_dir):
if not file.startswith('~'):
# skip raw files
continue
print ("\t\t-> Opening file:", file)
p = re.compile('-{0,1}[a-zA-Z0-9]+')
file_name_vals = [ config_parse.convert(x.group()) for x in p.finditer(os.path.splitext(file)[0]) ]
# check number of arguments in file name
if len(file_name_vals) != len(fc):
print ('\t\t\t# Wrong number of elements in file name: found %d expected %d #, skipping file!' %
(len(file_name_vals), len(fc)) )
continue
# if the number of args is correct we now set the configuration values
i = 0
for param_name in fc.parameter_keys():
fc.parameters[param_name].setValue(file_name_vals[i])
i+=1
