Answers for "python3 threading"

threading python example

# A minimal threading example with function calls
import threading
import time

def loop1_10():
    for i in range(1, 11):
        time.sleep(1)
        print(i)

threading.Thread(target=loop1_10).start()

# A minimal threading example with an object
import threading
import time


class MyThread(threading.Thread):
    def run(self):                                         # Default called function with mythread.start()
        print("{} started!".format(self.getName()))        # "Thread-x started!"
        time.sleep(1)                                      # Pretend to work for a second
        print("{} finished!".format(self.getName()))       # "Thread-x finished!"

def main():
    for x in range(4):                                     # Four times...
        mythread = MyThread(name = "Thread-{}".format(x))  # ...Instantiate a thread and pass a unique ID to it
        mythread.start()                                   # ...Start the thread, run method will be invoked
        time.sleep(.9)                                     # ...Wait 0.9 seconds before starting another

if __name__ == '__main__':
    main()

threading python

import threading
import time

def thread_function(name):
     print(f"Thread {name}: starting")
     time.sleep(2)
     print(f"Thread {name}: finishing")
 
my_thread = threading.Thread(target=thread_function, args=(1,))
my_thread.start()
time.sleep(1)
my_second_thread = threading.Thread(target=thread_function, args=(2,))
my_second_thread.start()
my_second_thread.join() # Wait until thread finishes to exit

python threading

def myFunction(x, y):
  pass

x = threading.Thread(target=myFunction, args=(x, y))
x.start()

how to thread python

import threading, time

def worker():
    """thread worker function"""
    print('Worker')
    return

threads = []
for i in range(5):
    t = threading.Thread(target=worker)
    threads.append(t)
    t.start()
    print('Thread')

python thread

from __future__ import print_function
import threading
import time

class Concur(threading.Thread):
    def __init__(self):
        super(Concur, self).__init__()
        self.iterations = 0
        self.daemon = True  # Allow main to exit even if still running.
        self.paused = True  # Start out paused.
        self.state = threading.Condition()

    def run(self):
        self.resume()
        while True:
            with self.state:
                if self.paused:
                    self.state.wait()  # Block execution until notified.
            # Do stuff...
            time.sleep(.1)
            self.iterations += 1

    def pause(self):
        with self.state:
            self.paused = True  # Block self.

    def resume(self):
        with self.state:
            self.paused = False
            self.state.notify()  # Unblock self if waiting.


class Stopwatch(object):
    """ Simple class to measure elapsed times. """
    def start(self):
        """ Establish reference point for elapsed time measurements. """
        self.start_time = time.time()
        return self

    @property
    def elapsed_time(self):
        """ Seconds since started. """
        try:
            return time.time() - self.start_time
        except AttributeError:  # Wasn't explicitly started.
            self.start_time = time.time()
            return 0



MAX_RUN_TIME = 5  # Seconds.
concur = Concur()
stopwatch = Stopwatch()

print('Running for {} seconds...'.format(MAX_RUN_TIME))
concur.start()
while stopwatch.elapsed_time < MAX_RUN_TIME:
    concur.resume()
    # Can also do other concurrent operations here...
    concur.pause()
    # Do some other stuff...

# Show Concur thread executed.
print('concur.iterations: {}'.format(concur.iterations))

python daemon thread

import threading
import time
 
shared_resource = False # Set the resource to False initially
lock = threading.Lock() # A lock for the shared resource
 
def perform_computation():
    # Thread A will call this function and manipulate the resource
    print(f'Thread {threading.currentThread().name} - performing some computation....')
    shared_resource = True
    print(f'Thread {threading.currentThread().name} - set shared_resource to True!')
    print(f'Thread {threading.currentThread().name} - Finished!')
    time.sleep(1)
 
def monitor_resource():
    # Thread B will monitor the shared resource
    while shared_resource == False:
        time.sleep(1)
    print(f'Daemon Thread {threading.currentThread().name} - Detected shared_resource = False')
    time.sleep(1)
    print(f'Daemon Thread {threading.currentThread().name} - Finished!')
 
 
if __name__ == '__main__':
    a = threading.Thread(target=perform_computation, name='A')
    b = threading.Thread(target=monitor_resource, name='B', daemon=True) # Make thread B as a daemon thread
 
    # Now start both threads
    a.start()
    b.start()