def is_float(text):
return text.count(".") == 1 and text.replace(".", "").replace("E-", "").isnumeric()
def get_data(file_name):
f = open(file_name)
lines = [x.replace('"', '').replace('\n', '') for x in f.readlines()]
criteria = lines[0].split(',')
data = []
for line in lines[1:]:
values = line.split(',')
entry = {}
for c, v in zip(criteria, values):
value = v
if v.isdecimal():
value = int(v)
elif is_float(v):
value = float(v)
entry[c] = value
data.append(entry)
return data
if __name__ == "__main__":
data = get_data("five-techs")
query = Query(data).group_by("componentsQuantity").group_by("randomize")
print(query.avg("res0"))
print(query.avg("res1"))
print(query.avg("res2"))
if not done:
try:
value = int(v)
done = True
except ValueError:
pass
entry[c] = value
data.append(entry)
f.close()
return data
if __name__ == "__main__":
args = sys.argv[1:]
if len(args) != 1:
print "Usage: ", sys.argv[0], " [input_file]"
sys.exit(-1)
data = get_data(args[0])
query = Query(data).group_by("numDomains").group_by("isRandom")
print query.get()
for x in query.get():
print x
print ""
print ""
print ""
print(query.avg("item 0 adopters"))
print(query.avg("item 1 adopters"))
print(query.avg("misfits"))
