Metadata-Version: 2.1
Name: muti-thread
Version: 1.1.9
Summary: muti_thread是多线程并发库
Home-page: https://github.com/passion765
Author: tk
Author-email: 462304@qq.com
License: UNKNOWN
Description: muti_thread是一个真正的多并发多线程,python3.6
        
        ```py
        # -*- coding: utf-8 -*-
        import sys
        sys.path.append(r'E:\algo_text\nn_csdk\build\Release')
        import time
        from muti_thread import thread_create,thread_append,thread_start_and_join
        import numpy as np
        vec1 = [1,2,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
        vec2 = [5,6,7,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
        
        def my_compute(n=10000):
            for i in range(n):
                dist1 = np.dot(vec1, vec2) / (np.linalg.norm(vec1) * np.linalg.norm(vec2))
        
        class thread_param:
            def __init__(self,index):
                self.counter = 0
                self.index = index
        
        #必须有且只有一个参数,最好是某个类的实例
        #注意 , 线程函数里最好不要有import的东西 ，里面最好是执行函数
        def thread_func(param):
            #param.counter += 1
            #print(param.index)
            #测试1万次
            my_compute()
            # if param.counter> 10000:
            #     print(param.index ,'end')
            #     return -1
        
            # ii = -1
            # while ii < 10:
            #     ii += 1
            #     print('线程', param.index, ii)
            #
            #     time.sleep(1)
            #print(param.index, 'end')
            return -1 #// 返回值小于0  退出线程 , 0 继续循环执行线程函数
        
        
        def main():
            resource = thread_create()
            #并发线程
            for i in range(10):
                param = thread_param(i)
                thread_append(resource, thread_func, param)
            #开始并等待线程结束
            start = float(round(time.time() * 1000))
            thread_start_and_join(resource)
            end = float(round(time.time() * 1000))
            print('run time {}'.format (end-start))
        
        if __name__ == '__main__':
            main()
        
        
        ```
        
Keywords: muti-thread,threading,thread,muti_thread,threads
Platform: Linux
Platform: Windows
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
