horiz = self.options.horiz# psipass2 command (from runpsipred script):#psipass2 $datadir/weights_p2.dat 1 1.0 1.0 $rootname.ss2 $rootname.ss > $rootname.horizcmd ="psipass2 {0}/weights_p2.dat 1 1.0 1.0 {1} {2} > {3}".format(data, output2, output, horiz)runtime().debug...
run_function(): # do somethingend=datetime.datetime.now() print (end-start) 1 2 3 4 5 6 7 运行结果显示: 方法二: importtimestart=time.time() run_function()end=time.time() print str(end) 1 2 3 4 5 6 运行结果: 方法三: importtimestart=time.clock() run_function()end=time.clock...
在Python程序的def上面,添加装饰器**@RunTime** 代码语言:javascript 复制 # pip install potime ,下载这个库 from potimeimportRunTime # 从potime里,导入RunTime这个模块 @RunTime # 在这里添加装饰器,不用改变原来的程序 defadd_sum(start,end):# 算术逻辑if__name__=='__main__':add_sum(start,end...
signal.alarm(0)#关闭闹钟returnrexceptRuntimeError as e: callback()returnto_doreturnwrapdefafter_timeout():#超时后的处理函数print("Time out!") @set_timeout(2, after_timeout)#限时 2 秒超时defconnect():#要执行的函数time.sleep(3)#函数执行时间,写大于2的值,可测试超时print('Finished without...
gcc runtime.c -lrt 1. 注意需要增加动态链接库lrt,函数clock_gettime()定义于该库中。 执行结果如下: 复制 root@ubuntu:/home/peng/zhh# ./a.outyou can call yourfunctionhereCLOCK_MONOTONIC reports 0.000013689 seconds 1. 2. 3. 3. 实例2-更完善的一个例子 ...
可以参考下这里的示例代码：https://help.aliyun.com/document_detail/158690.html?spm=a2c4g.422182....
) except (IOError,RuntimeError): # 当出现这两种error中的一种时,执行except后面的操作 print("Error: 没有找到文件或读取文件失败") except Exception as e: # 使用异常基类捕获 print("Error: 出错") else: print("内容写入文件成功") fh.close() 2)try/finally语句 try-finally 语句无论是否发生异常...
1 系统环境 硬件环境(Ascend/GPU/CPU): CPU 操作系统:Windows11 MindSpore版本: 2.2.14 Python版本:3.8.18 执行模式(PyNative/ Graph): 不限 2 报错信息 2.1 问题描述 使用如下脚本运行出现报错RuntimeError: Exception thrown from user defined Pyt...
importtimeimportwarningsfromcontextlibimportcontextmanagerimporttorchclassTimeCounter:names=dict()# Avoid instantiating every time@classmethoddefcount_time(cls,log_interval=1,warmup_interval=1,with_sync=True):assertwarmup_interval>=1def_register(func):iffunc.__name__incls.names:raiseRuntimeError('The...
Writing more performant code based on runtime optimization (#4) Using dynamic time warping for time series analysis (#3) Tracking experimentation with ML Flow (#2) Incorporating a main function to add flexibility to packages (#1) I hope this write up has given you something new to learn as...