diff --git a/Gui test/__pycache__/h2inc_mp.cpython-35.pyc b/Gui test/__pycache__/h2inc_mp.cpython-35.pyc
index 6e62fa0..8433168 100644
Binary files a/Gui test/__pycache__/h2inc_mp.cpython-35.pyc and b/Gui test/__pycache__/h2inc_mp.cpython-35.pyc differ
diff --git a/Gui test/h2inc_gtk_old.py b/Gui test/h2inc_gtk_old.py
index 3a4976b..477ca37 100755
--- a/Gui test/h2inc_gtk_old.py	
+++ b/Gui test/h2inc_gtk_old.py	
@@ -14,7 +14,7 @@ import gi
 gi.require_version('Gtk', '3.0')
 from gi.repository import Gtk, Gio, GObject as gobject
 import time
-from multiprocessing import Process, Value, Lock, Pool, Queue
+from multiprocessing import Process, Value, Lock, Pool, Queue, cpu_count
 import threading
 
 gobject.threads_init()
@@ -38,6 +38,7 @@ class Listener(gobject.GObject):
         while True:
             # Listen for results on the queue and process them accordingly                            
             data = self.queue.get()
+            print(data)
             # Check if finished                                                                       
             if data[1]=="finished":
                 print("Listener is finishing.")
@@ -58,7 +59,7 @@ class Worker():
         for i in range(self.filecnt):
             proportion = (float(i+1))/self.filecnt
             self.queue.put((proportion, "working...", i))
-            time.sleep(0.01)
+            #time.sleep(0.01)
             process_file(filelist[i])
         self.queue.put((1.0, "finished"))
         print("The worker has finished.")
@@ -70,7 +71,7 @@ folderlist = []
 cnt = 0
 srcdir = ''
 destdir = ''
-#num_cores = multiprocessing.cpu_count()
+num_cores = cpu_count()
 fileindex = 0
 filecnt = 0
 incinc = ''
@@ -334,10 +335,11 @@ class ExampleApp:
             return
 
         print("Creating shared Queue")
-        queue = Queue()
+        queue = Queue(num_cores)
 
-        print("Creating Worker")
-        worker = Worker(queue, self.filecnt, filelist)
+        for c in range(num_cores):
+            print("Creating Worker: ", c)
+            worker = Worker(queue, self.filecnt, filelist)
 
         print("Creating Listener")
         listener = Listener(queue)
diff --git a/Multiprocessing test/mp_class.py b/Multiprocessing test/mp_class.py
new file mode 100644
index 0000000..0fb59c3
--- /dev/null
+++ b/Multiprocessing test/mp_class.py	
@@ -0,0 +1,30 @@
+#!/usr/bin/env python3.5
+
+import multiprocessing
+
+class Listener(multiprocessing.Threading):
+    def __init__(self.response):
+        multiprocessing.Threading.__init__(self)
+        self.response = response
+    def run(self):
+        while True:
+            r = self.responce.get()
+            if r is None:
+                break
+            print(r)
+            self.response.task_done()
+        self.response.task_done()
+        return
+
+class Worker(multiprocessing.Process):
+    def __init__(self.workload):
+        mulitiprocessing.Process.__init__(self)
+        self.workload = workload
+    def run(self):
+        while True:
+            n = self.workload.get()
+            print(n*n)
+            self.workload.task_done()
+
+work = [range(10)]
+print(work)
diff --git a/Multiprocessing test/mp_gtk_test.py b/Multiprocessing test/mp_gtk_test.py
new file mode 100644
index 0000000..6cdb5f4
--- /dev/null
+++ b/Multiprocessing test/mp_gtk_test.py	
@@ -0,0 +1,124 @@
+#import gobject
+#import pygtk
+#pyGtk.require('2.0')
+#import gtk
+#import multiprocessing
+#import threading
+#import time
+import gi
+gi.require_version('Gtk', '3.0')
+from gi.repository import Gtk, Gio, GObject as gobject
+import time
+from multiprocessing import Process, Value, Lock, Pool, Queue, cpu_count
+from threading import Thread
+
+gobject.threads_init()
+
+class Listener(gobject.GObject):
+    __gsignals__ = {
+        'updated' : (gobject.SIGNAL_RUN_LAST,
+                     gobject.TYPE_NONE,
+                     (gobject.TYPE_FLOAT, gobject.TYPE_STRING)),
+        'finished': (gobject.SIGNAL_RUN_LAST,
+                     gobject.TYPE_NONE,
+                     ())
+    }
+
+    def __init__(self, queue):
+        gobject.GObject.__init__(self)
+        self.queue = queue
+
+    def go(self):
+        print("Listener has started")
+        while True:
+            # Listen for results on the queue and process them accordingly                            
+            data = self.queue.get()
+            # Check if finished                                                                       
+            if data[1]=="finished":
+                print("Listener is finishing.")
+                self.emit("finished")
+                return
+            else:
+                self.emit('updated', data[0], data[1])
+
+gobject.type_register(Listener)
+
+class Worker():
+    def __init__(self, queue):
+        self.queue = queue
+
+    def go(self):
+        print("The worker has started doing some work (counting from 0 to 9)")
+        for i in range(10):
+            proportion = (float(i+1))/10
+            self.queue.put((proportion, "working..."))
+            time.sleep(0.5)
+        self.queue.put((1.0, "finished"))
+        print("The worker has finished.")
+
+
+class Interface:
+    def __init__(self):
+        self.process = None
+        self.progress = Gtk.ProgressBar()
+        button = Gtk.Button("Go!")
+        button.connect("clicked", self.go)
+        vbox = Gtk.VBox(spacing=5)
+        vbox.pack_start(self.progress)
+        vbox.pack_start(button)
+        vbox.show_all()
+        self.frame = vbox
+
+    def main(self):
+        window = Gtk.Window(Gtk.WINDOW_TOPLEVEL)
+        window.set_border_width(10)
+        window.add(self.frame)
+        window.show()
+        window.connect("destroy", self.destroy)
+
+        Gtk.main()
+
+    def destroy(self, widget, data=None):
+        Gtk.main_quit()
+
+
+    def callbackDisplay(self, obj, fraction, text, data=None):
+        self.progress.set_fraction(fraction)
+        self.progress.set_text(text)
+
+    def callbackFinished(self, obj, data=None):
+        if self.process==None:
+            raise RuntimeError("No worker process started")
+        print("all done; joining worker process")
+        self.process.join()
+        self.process = None
+
+        self.progress.set_fraction(1.0)
+        self.progress.set_text("done")
+
+    def go(self, widget, data=None):
+        if self.process!=None:
+            return
+
+        print("Creating shared Queue")
+        queue = Queue()
+
+        print("Creating Worker")
+        worker = Worker(queue)
+
+        print("Creating Listener")
+        listener = Listener(queue)
+        listener.connect("updated",self.callbackDisplay)
+        listener.connect("finished",self.callbackFinished)
+
+        print("Starting Worker")
+        self.process = Process(target=worker.go, args=())
+        self.process.start()
+
+        print("Starting Listener")
+        thread = Thread(target=listener.go, args=())
+        thread.start()
+
+if __name__ == '__main__':
+    gui = Interface()
+    gui.main()
\ No newline at end of file
diff --git a/Multiprocessing test/mthread.py b/Multiprocessing test/mthread.py
new file mode 100644
index 0000000..595aeaa
--- /dev/null
+++ b/Multiprocessing test/mthread.py	
@@ -0,0 +1,17 @@
+#import threading
+import multiprocessing
+import time
+
+class MyThread(threading.Thread):
+
+    def run(self):
+        time.sleep(5)
+        return
+
+if __name__ == '__main__':
+    for i in range(3):
+	    t = MyThread()
+	    t.start()
+	    print(t.name, 'is alive -> ',t.is_alive())
+	    t.join()
+	    print(t.name, 'is alive -> ',t.is_alive())
\ No newline at end of file
diff --git a/Multiprocessing test/queue_test.py b/Multiprocessing test/queue_test.py
new file mode 100644
index 0000000..d58c73a
--- /dev/null
+++ b/Multiprocessing test/queue_test.py	
@@ -0,0 +1,45 @@
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import multiprocessing
+import queue
+
+
+running = multiprocessing.Value('i', 1)
+request = multiprocessing.JoinableQueue()
+response = multiprocessing.Queue(1)
+
+work=[]
+
+def worker(request, response):
+    #try:
+    param = request.get(timeout=0.1)
+    if param.empty()
+    # Imagine heavy computation here.
+    #except queue.Empty:
+    # To check running flag.
+    response.put("work_done")
+    else:
+        result = param ** 2
+        response.put(result)
+
+
+def main():
+    for n in range(10):
+        work.append(n)
+    process = multiprocessing.Process(target=worker, args=(request, response))
+    process.start()
+    for i in work:
+        print("Queueing {}".format(i))
+        request.put(i)
+    result = response.get()
+    #if result != "work_done":
+    while result != "work_done":
+        print('Result', result)
+    process.join()
+
+
+if __name__ == '__main__':
+  main()
+  
\ No newline at end of file
diff --git a/Multiprocessing test/ticker.py b/Multiprocessing test/ticker.py
index dab4db4..eecbf10 100644
--- a/Multiprocessing test/ticker.py	
+++ b/Multiprocessing test/ticker.py	
@@ -3,29 +3,38 @@ import multiprocessing
 import time
 import sys
 
-def network_worker(tq, wq):
+def network_worker(tq, wq, eq):
     ticker_queue = tq
     work_queue = wq    
     while ticker_queue.empty() is not True:
-        ticker = tq.get()
-        print(threading.currentThread().getName(),"recieved ",ticker)
+        ticker = tq.get(0.1)
+        print(threading.currentThread().getName(),"received ",ticker)
         work_queue.put(ticker-1000)
-        time.sleep(0.02)
-        #ticker_queue.task_done()
-    work_queue.put(None)
+        time.sleep(0.01)
+        ticker_queue.task_done()
+    exit_queue.put(1)
+    #work_queue.close()
     return
 
-def worker(wq):
+def worker(wq, i):
     work_queue = wq
-    while work_queue.get() is not None:
-        task = work_queue.get()
-        print(multiprocessing.current_process(),"recieved",task)
-        #work_queue.task_done()
+    #while work_queue.get(0.1) is not None:
+    while work_queue.qsize():
+        print(work_queue.qsize())
+        #if work_queue.empty() == False:
+        with i.get_lock():
+            i.value += 1
+            task = work_queue.get(10)
+            print(multiprocessing.current_process(),"received",task)
+            #simulate work
+            time.sleep(0.001)
+            work_queue.task_done()
     return
 
 ticker_queue = multiprocessing.JoinableQueue()
-
 work_queue = multiprocessing.JoinableQueue()
+exit_queue = multiprocessing.JoinableQueue()
+iterations = multiprocessing.Value('i', 0)
 tickers = range(1000)
 processes = []
 
@@ -33,24 +42,26 @@ for i in tickers:
     ticker_queue.put(i)
 
 for i in range(20):
-    t = threading.Thread(target=network_worker, args = (ticker_queue, work_queue))
+    t = threading.Thread(target=network_worker, args = (ticker_queue, work_queue, exit_queue))
     t.deamon = True
     print("Starting: ",t.name)
     t.start()
 
-for i in range(4):
-    p = multiprocessing.Process(target = worker, args = (work_queue, ))
-    #p.deamon = True
+for i in range(8):
+    p = multiprocessing.Process(target = worker, args = (work_queue, iterations, ))
+    p.deamon = True
     print("Starting: ",p.name)
     p.start()
     processes.append(p)
 
-if work_queue.empty() == True:
+ticker_queue.join()
+print(exit_queue,empty())
+if exit_queue.empty() == False:
+    work_queue.join()
     for p in processes:
         p.terminate()
         p.join()
-
-print("Resulting work:", work_queue)
+print("Total number of iterations:", iterations.value)
 
     
 
diff --git a/Multiprocessing test/ticker_new.py b/Multiprocessing test/ticker_new.py
new file mode 100644
index 0000000..45df0ac
--- /dev/null
+++ b/Multiprocessing test/ticker_new.py	
@@ -0,0 +1,70 @@
+import threading
+import multiprocessing
+import time
+import sys
+
+def network_worker(tq, wq):
+    while tq.empty() is not True:
+        ticker = tq.get(0.1)
+        print(threading.currentThread().getName(),"received ",ticker)
+        wq.put(ticker-1000)
+        #simulate work
+        time.sleep(0.01)
+        tq.task_done()
+    for i in range(8):
+        wq.put(None)
+
+def worker(wq, i):
+    while True:
+        task = wq.get(2)
+        with i.get_lock():
+            if task is None:
+                break
+            i.value += 1
+        print(multiprocessing.current_process().name, task, wq.qsize(), i.value)
+        #simulate work
+        time.sleep(0.001)
+        wq.task_done()
+    print(task)
+    wq.task_done()
+    print("Closing: ", multiprocessing.current_process().name)
+        
+
+ticker_queue = multiprocessing.JoinableQueue()
+work_queue = multiprocessing.JoinableQueue()
+iterations = multiprocessing.Value('i', 0)
+tickers = range(1000)
+processes = []
+threads = []
+
+for i in tickers:
+    ticker_queue.put(i)
+
+for i in range(20):
+    t = threading.Thread(target=network_worker, args = (ticker_queue, work_queue))
+    t.deamon = True
+    print("Starting: ",t.name)
+    t.start()
+    threads.append(t)
+
+for i in range(8):
+    p = multiprocessing.Process(target = worker, args = (work_queue, iterations, ))
+    p.deamon = True
+    print("Starting: ",p.name)
+    p.start()
+    processes.append(p)
+
+print("Closing down threads")
+for t in threads:
+    print("Closing: ",t.name)
+    t.join()
+
+print("Closing down workers")
+for p in processes:
+    p.join()
+print("Total number of iterations:", iterations.value)
+
+
+
+
+