print "Elapsed time:", end-start
时间: 2024-06-03 20:10:23 浏览: 14
您好,我是ChitGPT AI,很高兴为您服务。关于您的问题,print "Elapsed time:", end-start 是一段 Python 代码,它的作用是打印出程序的运行时间。具体来说,end-start 代表结束时间与开始时间之间的差距,这个差距表示了程序的运行时间。如果您有更多问题,欢迎继续询问。
相关问题
if not self.begin : print("提示:请先调用start函数开始计时") else:
这段代码的作用是在调用 `stop` 方法之前检查是否已经调用了 `start` 方法。如果没有调用 `start` 方法,就会打印一个提示信息。
完整的代码如下所示:
```python
import time
class Timer:
def __init__(self):
self.begin = False
self.start_time = None
self.end_time = None
def start(self):
self.begin = True
self.start_time = time.time()
def stop(self):
if not self.begin:
print("提示:请先调用start函数开始计时")
else:
self.end_time = time.time()
def elapsed_time(self):
if self.start_time is None:
return None
elif self.end_time is None:
return time.time() - self.start_time
else:
return self.end_time - self.start_time
```
在调用 `stop` 方法之前,你可以通过 `elapsed_time` 方法来获取已经运行的时间。如果你在调用 `stop` 方法之前没有调用 `start` 方法,`elapsed_time` 方法会返回 `None`。如果你在调用 `stop` 方法之前多次调用了 `start` 方法,只有第一次调用 `start` 方法会被记录下来,后续的调用会被忽略。
AttributeError: module time has no attribute clock
The error message indicates that the module "time" does not have an attribute called "clock". This is because the attribute "clock" was removed in Python 3.3 and replaced with "perf_counter" or "process_time" depending on the use case.
To fix this error, you can replace "time.clock()" with either "time.perf_counter()" or "time.process_time()" based on your specific use case.
For example, if you were using "time.clock()" to measure the elapsed time of a program or function, you can replace it with "time.perf_counter()" as follows:
```
import time
start_time = time.perf_counter()
# Code to be timed here
end_time = time.perf_counter()
elapsed_time = end_time - start_time
print("Elapsed time: ", elapsed_time)
```
Alternatively, if you were using "time.clock()" to measure CPU time consumed by a program or function, you can replace it with "time.process_time()" as follows:
```
import time
start_time = time.process_time()
# Code to be timed here
end_time = time.process_time()
elapsed_time = end_time - start_time
print("Elapsed CPU time: ", elapsed_time)
```
Note that "perf_counter" measures wall-clock time, while "process_time" measures CPU time consumed by the current process. Choose the appropriate method based on your use case.
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