Modify random measure

README.rst

@@ -36,18 +36,21 @@ Features
 Installation
 ------------
 
+
 **Prerequisites:** Queueing-tool runs on Python 2.7 and 3.3-3.5 and it
 requires `networkx <http://networkx.readthedocs.org/en/stable/>`__ and
 `numpy <http://www.numpy.org/>`__. If you want to plot, you will need
 to install `matplotlib <http://matplotlib.org/>`__ as well.
 
-**Installation**: To install, use:
+**Installation**: To install from
+`PyPI <https://pypi.python.org/pypi/queueing-tool>`__ use:
 
 .. code:: bash
 
     pip install queueing-tool
 
-If you want to install all optional packages, use:
+The above will automatically install networkx and numpy. If you want to install
+all optional packages, use:
 
 .. code:: bash
 

VERSION

@@ -1 +1 @@
-1.0.3
+1.1.0

docs/overview.rst

@@ -130,7 +130,7 @@ specifically, we'll let it be a non-homogeneous Poisson process), with a rate
 that's sinusoidal. To set that, run::
 
     >>> rate  = lambda t: 25 + 350 * np.sin(np.pi * t / 2)**2
-    >>> arr_f = lambda t: qt.poisson_random_measure(rate, 375, t)
+    >>> arr_f = lambda t: qt.poisson_random_measure(t, rate, 375)
 
 Lastly, we need to specify the departure process for each checkout counter. Let's
 choose the exponential distribution::

examples/example_grocery_store.py

@@ -17,7 +17,7 @@
 
 # Define the parameters for each of the queues
 rate  = lambda t: 25 + 350 * np.sin(np.pi * t / 2)**2
-arr_f = lambda t: qt.poisson_random_measure(rate, 375, t)
+arr_f = lambda t: qt.poisson_random_measure(t, rate, 375)
 ser_f = lambda t: t + np.random.exponential(0.2 / 2.5)
 
 # Make a mapping between the edge types and the parameters used to make those

queueing_tool/__init__.py

@@ -10,7 +10,7 @@
 import queueing_tool.graph as graph
 
 __all__ = []
-__version__ = '1.0.3'
+__version__ = '1.1.0'
 
 __all__.extend(['__version__'])
 __all__.extend(queues.__all__)

queueing_tool/network/__init__.py

@@ -22,12 +22,14 @@
     QueueNetwork.transitions
 """
 
+from queueing_tool.network.priority_queue import PriorityQueue
 from queueing_tool.network.queue_network import (
     QueueingToolError,
     QueueNetwork
 )
 
 __all__ = [
+    'PriorityQueue',
     'QueueingToolError',
     'QueueNetwork'
 ]