def get_dict_from_predicted_cost_files(files):
"""
Returns a dictionary of file -> All Predicted run times in order
from the list of the given files
"""
if not files:
raise ValueError('files cannot be None')
dict = {}
record_marker = '\n'
for file in files:
file_string = read_file_to_string(file)
records = file_string.split(record_marker)
results = []
for record in records:
if not record.strip(): # skip empty records
continue
results.append(record)
key = file[:-4] # skip the extension
dict[key] = results
return dict
def get_dict_from_compiled_files(files_to_plot):
"""
Returns a dictionary of compiled_file -> All Result records
from the list of the given files
"""
if not files_to_plot:
raise ValueError('files cannot be None')
dict = {}
record_marker = '===='
for file in files_to_plot:
file_string = read_file_to_string(file)
records = file_string.split(record_marker)
results = []
for record in records:
if not record.strip(): # skip empty records
continue
r = parse_record(record)
results.append(r)
key = file[:-4] # skip the extension
dict[key] = results
return dict
def main():
parser = argparse.ArgumentParser(description="Plots compiled benchmark results")
parser.add_argument("-f", "--file", help="Compiled Result file to generate graphs from", required=True)
args = vars(parser.parse_args())
file = args["file"]
file_string = read_file_to_string(file)
record_marker = "===="
records = file_string.split(record_marker)
results = []
for record in records:
if not record.strip(): # skip empty records
continue
r = parse_record(record)
results.append(r)
print "we have this many results: %d" % len(results)
plot_benchmark_result(results)
print "Plot Completed"
