def scan_srr(self,srr_file):
if not os.path.isfile(srr_file):
return
file_hand = file(srr_file,'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
match = (self.patterns_srr["001 srr_time"]).search(line)
if match:
self.srr_data['srr_real_time'] = time2secs(match.group(1))
self.srr_data['srr_cpu_time'] = time2secs(match.group(2))
self.srr_data['SynPeakMem'] = match.group(3)
def get_data(self):
t_data = list()
for item in self.keys:
value = self.data.get(item)
value = str(value)
if re.search("time$", item, re.I):
value = time2secs(value)
t_data.append(value)
return t_data
def scan_fit(self,fit_file):
if not os.path.isfile(fit_file):
return
file_hand = file(fit_file,'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
for key in self.patterns_fit.keys():
value = self.patterns_fit[key]
match = value.search(line)
if match:
match_data = match.group(1)
if key !='FitPeakMem':
match_data = time2secs(match_data.strip())
self.fit_data[key.split()[1]] = match_data
def scan_par(self,par_file):
if not os.path.isfile(par_file):
return
file_hand = file(par_file,'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
for key in self.patterns_par.keys():
value = self.patterns_par[key]
match = value.search(line)
p_key = key.split()[1]
if match:
if p_key == 'Complete' or p_key == 'Par_Done':
self.par_data[p_key] = 'YES'
else:
self.par_data[p_key] = time2secs( (match.group(1)).strip() )
def scan_map(self, map_file):
if not os.path.isfile(map_file):
return
file_hand = file(map_file, 'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
for key in self.patterns_map.keys():
value = self.patterns_map[key]
match = value.search(line)
if match:
if key.find('Fit_Done') == -1:
match_data = match.group(1)
if key != 'MapPeakMem':
match_data = time2secs(match_data.strip())
self.map_data[key.split()[1]] = match_data
else:
self.map_data[key.split()[1]] = 'YES'
def scan_mrp(self,mrp_file):
for key in self.patterns_mrp.keys():
key = key.split()[1]
self.mrp_time[key] = 'NA'
if not mrp_file:
return
file_hand = file(mrp_file,'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
for key in self.patterns_mrp.keys():
value = self.patterns_mrp[key]
match = value.search(line)
if match:
match_data = match.group(1)
match_data = time2secs(match_data.strip())
self.mrp_time[key.split()[1]] = match_data
def scan_par(self, par_file):
self.par_data = {}
for key in self.patterns_par.keys():
key = key.split()[1]
self.par_data[key] = 'NA'
if not par_file:
return
file_hand = file(par_file, 'r')
lines = file_hand.readlines()
file_hand.close()
for line in lines:
line = line.strip()
for key in self.patterns_par.keys():
p_value = self.patterns_par[key]
p_match = p_value.search(line)
p_key = key.split()[1]
if p_match:
if p_key == 'Complete' or p_key == 'Par_Done':
self.par_data[p_key] = 'YES'
print line
else:
self.par_data[p_key] = time2secs(
(p_match.group(1)).strip())
def scan_srr(self,srr_file):
self.srr_data = {
'srr_Real_time':'NA',
'srr_Cpu_time' : 'NA',
'CCU_lse':'NA',
'SynPeakMem':'NA',
'lse_CPU_Time':'NA',
'PostLSEClk':'NA',
'PostLSEFmax':'NA',
'LsePeakMem':'NA'
}
self.find_009_flag = 0
if not srr_file:
return
file_hand = file(srr_file,'r')
lines = file_hand.readlines()
file_hand.close()
hotlines=[]
for line in lines:
line = line.strip()
hotlines.append(line)
match = (self.patterns_srr["001 srr_time"]).search(line)
if match: # this is useless now,
if self.srr_data['srr_Real_time'] == "NA":
self.srr_data['srr_Real_time'] = '0'
self.srr_data['srr_Cpu_time'] = '0'
self.srr_data['srr_Real_time'] = str( int(self.srr_data.get("srr_Real_time",0))+ int( time2secs(match.group(1))) )
self.srr_data['srr_Cpu_time'] = str( int(self.srr_data.get('srr_Cpu_time',0))+ int( time2secs(match.group(2))) )
continue
match = (self.patterns_srr["008 at_c_hdl"]).search(line)
if match:
if self.srr_data['srr_Real_time'] == "NA":
self.srr_data['srr_Real_time'] = '0'
self.srr_data['srr_Cpu_time'] = '0'
self.srr_data['srr_Real_time'] = str( int(self.srr_data.get("srr_Real_time",0))+ int( time2secs(match.group(1))) )
self.srr_data['srr_Cpu_time'] = str( int(self.srr_data.get('srr_Cpu_time',0))+ int( time2secs(match.group(2))) )
match = (self.patterns_srr["009 at_syn_nfilter"]).search(line)
if match :
if self.srr_data['srr_Real_time'] == "NA":
self.srr_data['srr_Real_time'] = '0'
self.srr_data['srr_Cpu_time'] = '0'
self.find_009_flag += 1
if self.find_009_flag != 2:
pass
else:
self.srr_data['srr_Real_time'] = str( int(self.srr_data.get("srr_Real_time",0))+ int( time2secs(match.group(1))) )
self.srr_data['srr_Cpu_time'] = str( int(self.srr_data.get('srr_Cpu_time',0))+ int( time2secs(match.group(2))) )
match = (self.patterns_srr["010 pre_opt_map"]).search(line)
if match:
if self.srr_data['srr_Real_time'] == "NA":
self.srr_data['srr_Real_time'] = '0'
self.srr_data['srr_Cpu_time'] = '0'
self.srr_data['srr_Real_time'] = str( int(self.srr_data.get("srr_Real_time",0))+ int( time2secs(match.group(1))) )
self.srr_data['srr_Cpu_time'] = str( int(self.srr_data.get('srr_Cpu_time',0))+ int( time2secs(match.group(2))) )
match = (self.patterns_srr["002 CCU_lse"]).search(line)
if match:
self.srr_data['CCU_lse'] = match.group(1)
continue
match = (self.patterns_srr["003 SynPeakMem"]).search(line)
if match:
old_data = self.srr_data.get('SynPeakMem','')
if not old_data or old_data == "NA":
self.srr_data['SynPeakMem'] = match.group(1)
else:
if old_data == "NA":
old_data = 0
if float(old_data) < float(match.group(1)):
self.srr_data['SynPeakMem'] = match.group(1)
else:
pass
continue
match = (self.patterns_srr["004 lse_CPU_Time"]).search(line)
if match:
self.srr_data['lse_CPU_Time'] = time2secs(match.group(1))
continue
match = (self.patterns_srr["007 LsePeakMem"]).search(line)
if match and srr_file.endswith('synthesis.log'):
self.srr_data['LsePeakMem'] = match.group(1)
continue
hotlines = " ".join(hotlines)
hotlines = re.sub("\s*\|", "", hotlines)
all_hot_data = self.patterns_srr["005 PostLSEClk_PostLSEFmax"].findall(hotlines)
if not all_hot_data:
pass
else:
old_fmax = -1
for (clk_t, fmax_t) in all_hot_data:
float_fmax = float(fmax_t)
if old_fmax < 0 or float_fmax < old_fmax:
self.srr_data['PostLSEClk'] = clk_t
self.srr_data['PostLSEFmax'] = fmax_t
old_fmax = float(fmax_t)
'''
at here, we use to get the cpu time from the automat.log
'''
automat_log = os.path.join(os.path.dirname(os.path.dirname(srr_file)),'run_till_map.log')
if not os.path.isfile(automat_log):
return
elif srr_file.endswith('.srr'):
temp_cpu_time = 0
temp_real_time = 0
set_flag = 0
all_lines = file(automat_log).readlines()
for l in all_lines:
if l.startswith('edif2ngd:') or l.startswith('ngdbuild:'):
set_flag = 1
value = re.compile("Total\s+CPU\s+Time:\s+(.+)")
match = value.search(l)
if match and set_flag:
match_data = match.group(1)
match_data = time2secs(match_data.strip())
temp_cpu_time += int(match_data)
value = re.compile("Total\s+REAL\s+Time:\s+(.+)")
match = value.search(l)
if match and set_flag:
match_data = match.group(1)
match_data = time2secs(match_data.strip())
temp_real_time += int(match_data)
set_flag = 0
if l.startswith('map'):
break
try:
self.srr_data['srr_Cpu_time'] =str( int(self.srr_data['srr_Cpu_time'])+int( temp_cpu_time) )
self.srr_data['srr_Real_time'] =str( int(self.srr_data['srr_Real_time'])+int(temp_real_time) )
except:
print 'Error: in srr and automake add'
