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master.py
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master.py
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from pralgos import FrameTable, Randomly, FIFO, LRU, NFU, Optimal, MRU
from agent import SarsaApprox
import random
import sys
import numpy
def file_len(fname):
with open(fname) as f:
for i, l in enumerate(f):
pass
return i + 1
class Master(FrameTable):
def __init__(self, size, reward_style='simple'):
FrameTable.__init__(self, size)
self.algorithms = []
# self.algorithms.append(Randomly(size))
self.algorithms.append(LRU(size))
self.algorithms.append(FIFO(size))
self.algorithms.append(NFU(size))
self.algorithms.append(MRU(size))
self.curalgo = 0
self.agent = SarsaApprox(size, len(self.algorithms))
self.reward_style = reward_style
if not reward_style == 'simple':
self.framefault = {}
self.miss_reward_step = -1
self.hit_reward_step = 1
self.ah_files = []
self.ah_counts = [0,0,0,0]
for i in range(0, len(self.algorithms)):
self.ah_files.append(open('actions_history_'+str(i),'w'))
def get_miss_reward(self):
if self.reward_style == 'simple':
return self.miss_reward_step
elif self.reward_style == 'num_unique_frames':
return -1*len(self.framefault)
def get_hit_reward(self):
return self.hit_reward_step
def access(self, page):
#Attempt to access a given page
# print 'page', page
state = FrameTable.current_state
# print 'getting action for current state'
action = self.agent.act(state)
self.ah_counts[action]+=1
for a in range(0,len(self.algorithms)):
self.ah_files[a].write(str(self.ah_counts[a])+'\n')
if not action == self.curalgo:
self.curalgo = action
if not FrameTable.access(self, page):
#page fault
reward = self.get_miss_reward()
else:
#hit
reward = self.get_hit_reward()
new_state = FrameTable.current_state
new_action = self.agent.act(new_state)
self.agent.update_q(state, action, reward, new_state, new_action)
if not FrameTable.time%100:
self.agent.save_model()
def hit(self, p):
for algo in self.algorithms:
algo.hit(p)
def insert_data(self, frame):
for algo in self.algorithms:
algo.insert_data(frame)
def eject(self):
fid = self.algorithms[self.curalgo].eject()
if self.reward_style == 'num_unique_frames':
if fid in self.framefault:
self.framefault[fid]+=1
else:
self.framefault[fid]=1
return fid
def print_faults(self):
FrameTable.print_faults(self)
print self.ah_counts
for i in range(0,len(self.algorithms)):
self.ah_files[i].close()
def SimulateStandardAlgo(num_f, filename, k):
algorithms = {
'0': {'name': 'RANDOM', 'impl': Randomly},
'1': {'name': 'FIFO', 'impl': FIFO},
'2': {'name': 'LRU', 'impl': LRU},
'3': {'name': 'MRU', 'impl': MRU},
'4': {'name': 'NFU', 'impl': NFU},
'5': {'name': 'OPTIMAL', 'impl': Optimal},
}
random.seed()
if k=='5':
trace = numpy.zeros(file_len(filename), dtype=numpy.int)
count = 0
occurences = {}
else:
frame_table = algorithms[k]['impl'](num_f)
frame_table.reset()
with open(filename) as f:
for line in f:
if line.strip():
if k!='5':
frame_table.access(int(line.strip()))
else:
key = int(line.strip())
trace[count] = key
if key in occurences:
occurences[key].append(count)
else:
occurences[key] = []
occurences[key].append(count)
count+=1
if k=='5':
frame_table = algorithms[k]['impl'](num_f)
frame_table.reset()
frame_table.simulate(trace, occurences)
print algorithms[k]['name']
frame_table.print_faults()
def SimulateMaster(num_frames, data_file, reward_style='simple'):
random.seed()
frame_table = Master(num_frames, reward_style)
frame_table.reset()
with open(data_file) as f:
for line in f:
if line.strip():
frame_table.access(int(line.strip()))
print 'Master performance: '
frame_table.print_faults()
if __name__ == "__main__":
# num_f = 500
# fil = 'data/increasing.txt'
# SimulateMaster(num_f, fil)
if(len(sys.argv)==4):
SimulateStandardAlgo(int(sys.argv[1]), sys.argv[2], sys.argv[3])
else:
SimulateMaster(int(sys.argv[1]), sys.argv[2])
# '0': {'name': 'RANDOM', 'impl': Randomly},
# '1': {'name': 'FIFO', 'impl': FIFO},
# '2': {'name': 'LRU', 'impl': LRU},
# '3': {'name': 'MRU', 'impl': MRU},
# '4': {'name': 'NFU', 'impl': NFU}
# '5': {'name': 'OPTIMAL', 'impl': Optimal}