PYROMETA example output fixed

examples/distributed-computing3/client.py

@@ -6,6 +6,6 @@
     # this submits 100 factorization requests to a random available pyro server that can factorize.
     # we do this in sequence but you can imagine that a whole pool of clients is submitting work in parallel.
     with Pyro4.Proxy("PYROMETA:example3.worker.factorizer") as w:
-        n = number = random.randint(3211, 12000) * random.randint(3211, 11000)
+        n = number = random.randint(3211, 12000) * random.randint(4567, 21000)
         result = w.factorize(n)
         print("%s factorized %d: %s" % (w._pyroConnection.objectId, n, result))

examples/distributed-computing3/worker.py

@@ -14,8 +14,10 @@
 class Worker(object):
     @Pyro4.expose
     def factorize(self, n):
-        print("factorize request recieved for", n)
-        return self._factorize(n)
+        print("factorize request received for", n)
+        result = self._factorize(n)
+        print("    -->", result)
+        return result
 
     def _factorize(self, n):
         """simple algorithm to find the prime factorials of the given number n"""
@@ -28,7 +30,7 @@ def isPrime(n):
         candidate = 2
         while not primes and candidate in candidates:
             if n % candidate == 0 and isPrime(candidate):
-                primes = primes + [candidate] + self.factorize(n // candidate)
+                primes = primes + [candidate] + self._factorize(n // candidate)
             candidate += 1
         return primes