def reset(self, random):
if self.trace == 'test':
self.load_trace = load_traces(self.trace, self.cache_size, random)
self.n_request = len(self.load_trace)
self.min_values = np.asarray([1, 0, 0])
self.max_values = np.asarray([self.cache_size, self.cache_size, max(self.load_trace[0])])
self.req = 0
def __init__(self, trace, cache_size):
self.trace = trace
self.cache_size = cache_size
self.load_trace = load_traces(self.trace, self.cache_size, 0)
self.n_request = len(self.load_trace)
self.cache_size = cache_size
self.min_values = np.asarray([1, 0, 0])
self.max_values = np.asarray([self.cache_size, self.cache_size, max(self.load_trace[0])])
self.req = 0
def reset(self):
self.load_trace = load_traces(self.trace, self.cache_size)
self.n_request = len(self.load_trace)
self.min_values = np.asarray([1, 0, 0])
self.max_values = np.asarray(
[self.cache_size, self.cache_size,
max(self.load_trace[0])])
self.idx = 0
self.req = 0