human
Solve the following python programming problem given the following code:
# %load threading_semaphore.py
import logging
import random
import threading
import time

logging.basicConfig(level=logging.DEBUG,
                    format='%(asctime)s (%(threadName)-2s) %(message)s',
                    )

class ActivePool(object):
    def __init__(self):
        super(ActivePool, self).__init__()
        self.active = []
        self.lock = threading.Lock()

    def makeActive(self, name):
        with self.lock:
            self.active.append(name)
            logging.debug('Running: %s', self.active)

    def makeInactive(self, name):
        with self.lock:
            self.active.remove(name)
            logging.debug('Running: %s', self.active)

def worker(s, pool):
    logging.debug('Waiting to join the pool')
    with s:
        name = threading.currentThread().getName()
        pool.makeActive(name)
        time.sleep(0.1)
        pool.makeInactive(name)

pool = ActivePool()
s = threading.Semaphore(2)
for i in range(4):
    t = threading.Thread(target=worker, name=str(i), args=(s, pool))
    t.start()

Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python code you requested.

The threads use with to acquire the lock associated with the Condition. Using the acquire() and release() methods explicitly also works.  
$ python threading_condition.py  
2015-06-27 17:07:55,552 (c1) Starting consumer thread  
2015-06-27 17:07:57,557 (c2) Starting consumer thread  
2015-06-27 17:07:59,558 (p ) Starting producer thread  
2015-06-27 17:07:59,558 (p ) Making resource available  
2015-06-27 17:07:59,559 (c2) Resource is available to consumer  
2015-06-27 17:07:59,559 (c1) Resource is available to consumer
Limiting Concurrent Access to Resources
Sometimes it is useful to allow more than one worker access to a resource at a time, while still limiting the overall number. For example, a connection pool might support a fixed number of simultaneous connnections, or a network application might support a fixed number of concurrent downloads. A Semaphore is one way to manage those connections.