def presents():
Present = namedtuple("Present", "id coor")
return sorted(pickle.load(data.open("presents.pickle", options="rb")), key=attrgetter("id"))
from config import data
Present = namedtuple("Present", "id coor")
def load_csv(file):
presents = []
with file as f:
f.readline()
for line in csv.reader(f, delimiter=","):
present = Present(int(line[0]), (int(line[1]), int(line[2]), int(line[3])))
presents.append(present)
return presents
presents = load_csv(data.open('presents.csv', newline=''))
presents_pickle = pickle.dumps(presents)
with open("presents.pickle", "wb") as f:
f.write(presents_pickle)
# print("Raw csv", timeit("presents=load_csv(data.open('presents.csv', newline=''))", setup="from __main__ import load_csv, data", number=5))
# print("Raw pickle", timeit("presents=pickle.load(open('presents.pickle','rb'))", setup="import pickle", number=5))
# for compresslevel in range(10):
# with gzip.open("packed.gz", "w", compresslevel=compresslevel) as gf:
# gf.write(data.open('presents.csv', options="rb").read())
#
# # gf = io.TextIOWrapper(gzip.open('packed.gz', mode='r', compresslevel=compresslevel))
# # presents2 = load_csv(gf)
# # print(presents == presents2)
