def __init__(self, hist_file_name1, hist_file_name2,
mix1, mix2, cpi_func1 = None, cpi_func2 = None):
self.mix1 = mix1
self.mix2 = mix2
self.hist1 = load_hist(hist_file_name1)
self.hist2 = load_hist(hist_file_name2)
self.esd1 = LinearInterp(lrumodel.lru_sdist(self.hist1, True).items())
self.esd2 = LinearInterp(lrumodel.lru_sdist(self.hist2, True).items())
self.n1 = float(sum(self.hist1.values()))
self.n2 = float(sum(self.hist2.values()))
self.n = self.n1 + self.n2
default_cpi_func = lambda mr, mix: 1.0 + 300.0 * mix * mr
if cpi_func1:
self.cpi_func1 = cpi_func1
else:
self.cpi_func1 = default_cpi_func
if cpi_func2:
self.cpi_func2 = cpi_func2
else:
self.cpi_func2 = default_cpi_func
def __init__(self,
hist_file_name1,
hist_file_name2,
mix1,
mix2,
cpi_func1=None,
cpi_func2=None):
self.mix1 = mix1
self.mix2 = mix2
self.hist1 = load_hist(hist_file_name1)
self.hist2 = load_hist(hist_file_name2)
self.esd1 = LinearInterp(lrumodel.lru_sdist(self.hist1, True).items())
self.esd2 = LinearInterp(lrumodel.lru_sdist(self.hist2, True).items())
self.n1 = float(sum(self.hist1.values()))
self.n2 = float(sum(self.hist2.values()))
self.n = self.n1 + self.n2
default_cpi_func = lambda mr, mix: 1.0 + 300.0 * mix * mr
if cpi_func1:
self.cpi_func1 = cpi_func1
else:
self.cpi_func1 = default_cpi_func
if cpi_func2:
self.cpi_func2 = cpi_func2
else:
self.cpi_func2 = default_cpi_func
def generate_per_pc_sdist_recurrence_hist(burst_hists):
pc_sdist_hist = {}
pc_recur_hist = {}
pc_fwd_sdist_hist = {}
for (pc_rdist_hist, pc_freq_hist, pc_corr_hist, pc_fwd_rdist_hist) in burst_hists:
rdist_hist = rdist_hist_original(burst_hists)
r2s = lrumodel.lru_sdist(rdist_hist)
for (pc, rdist_hist) in pc_rdist_hist.items():
if not pc in pc_sdist_hist:
pc_sdist_hist[pc] = {}
for (rdist, count) in rdist_hist.items():
sd = int(round(r2s[rdist]))
pc_sdist_hist[pc][sd] = pc_sdist_hist[pc].get(sd, 0) + count
for (pc, fwd_rdist_hist) in pc_fwd_rdist_hist.items():
if not pc in pc_fwd_sdist_hist:
pc_fwd_sdist_hist[pc] = {}
for (rdist, count) in fwd_rdist_hist.items():
sd = int(round(r2s[rdist]))
pc_fwd_sdist_hist[pc][sd] = pc_fwd_sdist_hist[pc].get(sd, 0) + count
return [pc_sdist_hist, pc_fwd_sdist_hist]
def generate_sdist_hist(rdist_hist):
hist = {}
r2s = lrumodel.lru_sdist(rdist_hist)
for (rdist, count) in rdist_hist.items():
sdist = r2s[rdist]
hist[sdist] = hist.get(sdist, 0) + count
return hist
def generate_sdist_hist(burst_hists):
hist = {}
for (rdists, filtered_rdists) in burst_hists:
r2s = lrumodel.lru_sdist(rdists)
for (rdist, count) in filtered_rdists.items():
sdist = r2s[rdist]
hist[sdist] = hist.get(sdist, 0) + count
return hist
def generate_sdist_hist(burst_hists):
hist = {}
for (rdists, filtered_rdists) in burst_hists:
r2s = lrumodel.lru_sdist(rdists)
for (rdist, count) in filtered_rdists.items():
sdist = r2s[rdist]
hist[sdist] = hist.get(sdist, 0) + count
return hist
def rdist2sdist_usf(usf_event_list):
rdist_hist = {}
for event in usf_event_list:
if isinstance(event, pyusf.Sample):
rdist = event.end.time - event.begin.time - 1
elif isinstance(event, pyusf.Dangling):
rdist = sys.maxint
if rdist_hist.has_key(rdist):
rdist_hist[rdist] += 1
else:
rdist_hist[rdist] = rdist
return lrumodel.lru_sdist(rdist_hist)
def rdist2sdist_usf(usf_event_list):
rdist_hist = {}
for event in usf_event_list:
if isinstance(event, pyusf.Sample):
rdist = event.end.time - event.begin.time - 1
elif isinstance(event, pyusf.Dangling):
rdist = sys.maxint
if rdist_hist.has_key(rdist):
rdist_hist[rdist] += 1
else:
rdist_hist[rdist] = rdist
return lrumodel.lru_sdist(rdist_hist)
def generate_per_pc_sdist_recurrence_hist(burst_hists):
pc_sdist_hist = {}
pc_recur_hist = {}
pc_fwd_sdist_hist = {}
r2s = {}
for (pc_rdist_hist, pc_stride_hist, pc_freq_hist, pc_time_hist, pc_corr_hist, pc_fwd_rdist_hist, pc_adjp1_cl_rdist_hist, pc_adjm1_cl_rdist_hist) in burst_hists:
rdist_hist = rdist_hist_original(burst_hists)
r2s = lrumodel.lru_sdist(rdist_hist)
for (pc, rdist_hist) in pc_rdist_hist.items():
if not pc in pc_sdist_hist:
pc_sdist_hist[pc] = {}
for (rdist, count) in rdist_hist.items():
sd = int(round(r2s[rdist]))
pc_sdist_hist[pc][sd] = pc_sdist_hist[pc].get(sd, 0) + count
for (pc, fwd_rdist_hist) in pc_fwd_rdist_hist.items():
if not pc in pc_fwd_sdist_hist:
pc_fwd_sdist_hist[pc] = {}
for (rdist, count) in fwd_rdist_hist.items():
sd = int(round(r2s[rdist]))
pc_fwd_sdist_hist[pc][sd] = pc_fwd_sdist_hist[pc].get(sd, 0) + count
for (pc, time_hist) in pc_time_hist.items():
if not pc in pc_recur_hist:
pc_recur_hist[pc] = {}
for (recur, count) in time_hist.items():
if not recur in r2s:
recur_c = min(r2s.keys(), key=lambda k: abs(k - recur))
recur = recur_c
sd = int(round(r2s[recur]))
pc_recur_hist[pc][sd] = pc_recur_hist[pc].get(sd, 0) + count
return [pc_sdist_hist, pc_recur_hist, pc_fwd_sdist_hist, r2s]
def init(self, pcs, global_rdist_hist):
self.r2s = lrumodel.lru_sdist(global_rdist_hist)
nta.NTACondition.init(self, pcs, global_rdist_hist)
def init(self, pcs, global_rdist_hist):
self.r2s = lrumodel.lru_sdist(global_rdist_hist)
nta.NTACondition.init(self, pcs, global_rdist_hist)
