def main(argv):
""" Entry point method """
try:
opts, args = getopt.getopt(argv[1:], "m:", ["metric="])
except getopt.GetoptError:
usage()
for opt, arg in opts:
if opt in ["-m", "--metric"]:
use_metric = arg
else:
usage()
if len(args) < 1:
usage()
elif args[0] == '-':
input_files = [sys.stdin]
else:
input_files = []
for arg in args:
input_files.append(open(arg, 'r'))
print('\n')
text = ""
for file in input_files:
text = text + '\n' + file.read()
if use_metric == 'holsted':
h = holsted.Holsted(text)
h.run()
elif use_metric == 'myers':
text = code_cleanup.cleanup_strings(code_cleanup.cleanup_sharp(code_cleanup.cleanup_comments(text)))
g = graph.ExecGraph(text)
g.build_graph()
m = myers.Myers(g, text)
m.analyze()
print('Метрика Майерса:', m.metric())
elif use_metric == 'boundary':
text = code_cleanup.cleanup_strings(code_cleanup.cleanup_sharp(code_cleanup.cleanup_comments(text)))
g = graph.ExecGraph(text)
g.build_graph()
b = boundary.Boundary(g)
b.analyze()
print('Метрика граничных значений:', b.metric())
def __init__(self, code):
self.text = code
cleaned_code = code_cleanup.cleanup_sharp(code)
cleaned_code = code_cleanup.cleanup_comments(cleaned_code)
(cleaned_code, total_string_count, unique_string_count) = code_cleanup.cleanup_and_get_strings_count(cleaned_code)
self.total_operands_count += total_string_count
self.unique_operands_count += unique_string_count
self.cleaned_code = cleaned_code
def main(argv):
""" Entry point method """
try:
opts, args = getopt.getopt(argv[1:], "m:", ["metric="])
except getopt.GetoptError:
usage()
for opt, arg in opts:
if opt in ["-m", "--metric"]:
use_metric = arg
else:
usage()
if len(args) < 1:
usage()
elif args[0] == '-':
input_files = [sys.stdin]
else:
input_files = []
for arg in args:
input_files.append(open(arg, 'r'))
print('\n')
text = ""
for file in input_files:
text = text + '\n' + file.read()
if use_metric == 'holsted':
h = holsted.Holsted(text)
print (h.run())
elif use_metric == 'myers':
text = code_cleanup.cleanup_strings(code_cleanup.cleanup_sharp(code_cleanup.cleanup_comments(text)))
g = graph.ExecGraph(text)
g.build_graph()
m = myers.Myers(g, text)
m.analyze()
print('Метрика Майерса:', m.metric())
elif use_metric == 'boundary':
text = code_cleanup.cleanup_strings(code_cleanup.cleanup_sharp(code_cleanup.cleanup_comments(text)))
g = graph.ExecGraph(text)
g.build_graph()
b = boundary.Boundary(g)
b.analyze()
print('Метрика граничных значений:', b.metric())
def __init__(self, code):
self.text = code
cleaned_code = code_cleanup.cleanup_sharp(code)
cleaned_code = code_cleanup.cleanup_comments(cleaned_code)
(cleaned_code, total_string_count, unique_string_count
) = code_cleanup.cleanup_and_get_strings_count(cleaned_code)
self.total_operands_count += total_string_count
self.unique_operands_count += unique_string_count
self.cleaned_code = cleaned_code
def main(argv):
""" Entry point method """
try:
opts, args = getopt.getopt(argv[1:], "m:", ["metric="])
except getopt.GetoptError:
usage()
for opt, arg in opts:
if opt in ["-m", "--metric"]:
use_metric = arg
else:
usage()
if len(args) != 1:
usage()
elif args[0] == '-':
input_file = sys.stdin
else:
input_file = open(args[0], 'r')
print(use_metric)
print('\n')
text = input_file.read()
if use_metric == 'holsted':
h = holsted.Holsted(text)
h.run()
elif use_metric == 'myers':
text = code_cleanup.cleanup_strings(code_cleanup.cleanup_sharp(code_cleanup.cleanup_comments(text)))
print(text)
g = graph.ExecGraph(text)
g.build_graph()
print('\n*********************************************\n')
print(g.filtered_text)
print('\n*********************************************\n')
g.print_tree()