本文整理汇总了Python中BatchJobPedestals.command_for_peds_aver方法的典型用法代码示例。如果您正苦于以下问题：Python BatchJobPedestals.command_for_peds_aver方法的具体用法？Python BatchJobPedestals.command_for_peds_aver怎么用？Python BatchJobPedestals.command_for_peds_aver使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类BatchJobPedestals的用法示例。
在下文中一共展示了BatchJobPedestals.command_for_peds_aver方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: CommandLineCalib
# 需要导入模块: import BatchJobPedestals [as 别名]
# 或者: from BatchJobPedestals import command_for_peds_aver [as 别名]
#.........这里部分代码省略.........
+ '\n num_events : %d' % self.num_events\
+ '\n skip_events : %d' % self.skip_events\
+ '\n thr_rms : %f' % self.thr_rms\
+ '\n process : %s' % self.process\
+ '\n deploy : %s' % self.deploy\
+ '\n print_bits : %s' % self.print_bits
#+ '\nself.logfile : ' % self.logfile
self.log(msg,1)
#------------------------------
def print_command_line_pars(self, args, opts) :
msg = '\nprint_command_line_pars(...):\n args: %s\n opts: %s' % (args,opts)
self.log(msg,1)
#------------------------------
def proc_dark_run_interactively(self) :
if self.process :
self.log(self.sep + 'Begin dark run data processing interactively',1)
else :
self.log(self.sep + '\nWARNING: FILE PROCESSING OPTION IS TURNED OFF...'\
+ '\nAdd "-P" option in the command line to process files\n',4)
return
self.bjpeds = BatchJobPedestals(self.runnum)
self.bjpeds.command_for_peds_scan()
self.print_list_of_types_and_sources_from_xtc()
if not self.bjpeds.command_for_peds_aver() :
msg = self.sep + 'STATUS OF PROCESSING IS NOT GOOD !!!'\
+'\nSee details in the logfile(s)'
self.log(msg,4)
#return
self.print_dark_ave_batch_log()
return
#------------------------------
def proc_dark_run_in_batch(self) :
if self.process :
self.log(self.sep + 'Begin dark run data processing in batch queue %s' % self.queue,1)
else :
self.log(self.sep + '\nWARNING: FILE PROCESSING OPTION IS TURNED OFF...'\
+ '\nAdd "-P" option in the command line to process files\n',4)
return
self.bjpeds = BatchJobPedestals(self.runnum)
self.bjpeds.start_auto_processing()
sum_dt=0
dt = 10 # sec
for i in range(50) :
sleep(dt)
sum_dt += dt
status = self.bjpeds.status_for_peds_files_essential()
self.log('%3d sec: Files %s available' % (sum_dt, {False:'ARE NOT', True:'ARE'}[status]),1)
if status :
self.print_dark_ave_batch_log()
return示例2: CommandLineCalib
# 需要导入模块: import BatchJobPedestals [as 别名]
# 或者: from BatchJobPedestals import command_for_peds_aver [as 别名]
#.........这里部分代码省略.........
+ '\n process : %s' % self.process \
+ '\n deploy : %s' % self.deploy
#+ '\nself.logfile : ' % self.logfile
#------------------------------
def print_command_line_pars(self, args, opts) :
print '\nprint_command_line_pars(...):'
print 'args:', args
print 'opts:', opts
#print 'args:\n', ', '.join(args)
#for k,v in opts.iteritems():
# print '%s : %s' % (k.ljust(16),v)
#------------------------------
def proc_dark_run_interactively(self) :
if self.process :
print '\n' + 50*'-' + '\nBegin dark run data processing interactively'
else :
print '\n' + 50*'-' + '\nWARNING: File processing option IS TURNED OFF...'\
+ '\nAdd "-P" option in the command line to process files'
return
self.bjpeds = BatchJobPedestals(self.runnum)
self.bjpeds.command_for_peds_scan()
self.print_list_of_types_and_sources_from_xtc()
if not self.bjpeds.command_for_peds_aver() :
msg = '\n' + 50*'-' + '\nSTATUS OF PROCESSING IS NOT GOOD !!!'\
+'\nSee details in the logfile(s)'
print msg
#return
self.print_dark_ave_batch_log()
return
#------------------------------
def proc_dark_run_in_batch(self) :
if self.process :
print '\n' + 50*'-' + '\nBegin dark run data processing in batch queue %s' % self.queue
else :
print '\n' + 50*'-' + '\nWARNING: File processing option IS TURNED OFF...'\
+ '\nAdd "-P" option in the command line to process files'
return
self.bjpeds = BatchJobPedestals(self.runnum)
self.bjpeds.start_auto_processing()
sum_dt=0
dt = 10 # sec
for i in range(50) :
sleep(dt)
sum_dt += dt
status = self.bjpeds.status_for_peds_files_essential()
print '%3d sec: Files %s available' % (sum_dt, {False:'ARE NOT', True:'ARE'}[status])
if status :
self.print_dark_ave_batch_log()
return