这种是python wrapper for C, 其实这种项目不少的，C++端的python wrapper有Pybind11, Python端的...
This package is an almost complete wrapper for gco-v3.0, which supports more direct low level control over GCoptimization objects. This package supports graphs with edges weighted differently. This wrapper is composed of two parts, a C wrapper and a python wrapper. ...
supports injecting custom code for data pre- and post-processing gpyfft This python wrapper is designed to tightly integrate withPyOpenCL. It consists of a low-level Cython based wrapper with an interface similar to the underlying C library. On top of that it offers a high-level interface desi...
const char *WrapperClass = "Wrapper"; const char *PythonSo = "libpython3.so"; wrapperMeterCustom g_metric_cb; wrapperTraceLog g_trace_cb; wrapperCallback g_resp_cb; std::mutex RECORD_MUTEX; std::map <std::string, std::string> SID_RECORD; ...
val return wrapper 接着，将该装饰器按如下方式应用在待测函数上： @timeit_wrapper def exp(x): ... print('{0:<10} {1:<8} {2:^8}'.format('module', 'function', 'time')) exp(Decimal(150)) exp(Decimal(400)) exp(Decimal(3000)) 得到如下输出： ~ $ python3.8 slow_program.py mod...
return wrapper @elapsed_time def some_code (): # 模拟运行代码.. time.sleep( 0.00002 ) # 调用函数some_code() # some_code() 花费了 0.000009 秒它们广泛用于记录、计时、强制访问控制等。注意:但是,建议不要过度这样做,因为它们也会混淆你的代码实际在做什么。 使用`dataclass` 来清理数据结构__init...
Accelerator modules: Enable accelerated performance. Because Python is an interpreted language, you can write an accelerator module in C++ for higher performance. Wrapper modules: Expose existing C/C++ interfaces to Python code or expose a more python-like API that's easy to use from Python. ...
Accelerator modules: Enable accelerated performance. Because Python is an interpreted language, you can write an accelerator module in C++ for higher performance. Wrapper modules: Expose existing C/C++ interfaces to Python code or expose a more python-like API that's easy to use from Python. ...
return wrapper ''' def myfunc(): print("func starting...") time.sleep(0.6) print("func end!") #调用闭包 print("myfunc is :",myfunc.__name__) myfunc=deco(myfunc) print("myfunc is :",myfunc.__name__) myfunc() ''' #装饰器 ...
@wraps(func)defwrapper(*args,**kwargs):start=time.time()result=func(*args,**kwargs)end=time.time()print(func.__name__,end-start)returnresultreturnwrapper @timethis defcountdown(n):whilen>0:n-=1countdown(100000)#('countdown',0.006999969482421875) ...