def __init__()

in nested/workload.py [0:0]

• 12 lines of code
• 2 McCabe index (conditional complexity)

    def __init__(self, workload, params, **kwargs):
        self._params = params
        self.infinite = True
        # here we read the queries data file into arrays which we'll then later use randomly.
        self.tags = []
        self.dates = []
        # be predictably random. The seed has been chosen by a fair dice roll. ;)
        random.seed(4)
        cwd = os.path.dirname(__file__)
        with open(os.path.join(cwd, "queries.csv"), "r") as ins:
            csvreader = csv.reader(ins)
            for row in csvreader:
                self.tags.append(row[0])
                self.dates.append(row[1])