Python threading.stack_size() 方法
stack_size() 是 Python 中线程模块的内置方法。它用于返回创建新线程时所需的线程堆栈大小。
模块:
import threading
用法:
stack_size([size])
参数:
size
:它是一个可选参数,它指定用于后续创建的线程的堆栈大小。它的值必须是 0 或任何正整数;默认值为 0。
返回值:
这个方法的返回类型是<class 'int'>
,它设置创建新线程时要使用的线程的堆栈大小。
例:
# Python program to explain the use of
# stack_size() method in Threading Module
import time
import threading
def thread_1(i):
time.sleep(5)
print("Value by Thread-1:",i)
print()
def thread_2(i):
time.sleep(4)
print("Value by Thread-2:",i)
print()
def thread_3(i):
print("Value by Thread-3:",i)
print()
def thread_4(i):
time.sleep(1)
print("Value by Thread-4:",i)
print()
# Creating sample threads
thread1 = threading.Thread(target=thread_1, args=(100,))
thread2 = threading.Thread(target=thread_2, args=(200,))
thread3 = threading.Thread(target=thread_3, args=(300,))
thread4 = threading.Thread(target=thread_4, args=(400,))
print(threading.stack_size())
# Starting the threads
thread1.start()
thread2.start()
thread3.start()
thread4.start()
输出
0 Value by Thread-3:300 Value by Thread-4:400 Value by Thread-2:200 Value by Thread-1:100
相关用法
- Python threading setprofile()用法及代码示例
- Python threading settrace()用法及代码示例
- Python threading get_native_id()用法及代码示例
- Python threading enumerate()用法及代码示例
- Python threading get_ident()用法及代码示例
- Python threading main_thread()用法及代码示例
- Python threading current_thread()用法及代码示例
- Python threading active_count()用法及代码示例
- Python Pandas tseries.offsets.CustomBusinessHour.onOffset用法及代码示例
- Python tensorflow.math.xlog1py()用法及代码示例
- Python turtle.write_docstringdict()用法及代码示例
- Python Pandas tseries.offsets.DateOffset.normalize用法及代码示例
- Python Pandas tseries.offsets.BusinessDay.name用法及代码示例
- Python tensorflow.eye()用法及代码示例
- Python tensorflow.fill()用法及代码示例
- Python turtle.delay()用法及代码示例
- Python tensorflow.math.special.dawsn()用法及代码示例
- Python turtle.write()用法及代码示例
- Python tensorflow.ensure_shape()用法及代码示例
- Python turtle.getpen()用法及代码示例
注:本文由纯净天空筛选整理自 Python threading Module | stack_size() Method with Example。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。