[Pybrainsim-activity] SF.net SVN: pybrainsim:[137] trunk/src/GeneratorNoisy.py

[<rg...@us...>]

Revision: 137
          http://pybrainsim.svn.sourceforge.net/pybrainsim/?rev=137&view=rev
Author:   rgoj
Date:     2010-06-27 15:29:58 +0000 (Sun, 27 Jun 2010)

Log Message:
-----------
* Added a Generator that returns a normally distributed number every time it is ran.

Added Paths:
-----------
    trunk/src/GeneratorNoisy.py

Added: trunk/src/GeneratorNoisy.py
===================================================================
--- trunk/src/GeneratorNoisy.py	                        (rev 0)
+++ trunk/src/GeneratorNoisy.py	2010-06-27 15:29:58 UTC (rev 137)
@@ -0,0 +1,45 @@
+# PyBrainSim
+# Copyright 2009 Roman Goj
+#
+# This file is part of PyBrainSim.
+#
+# PyBrainSim is free software: you can redistribute it and/or modify it under
+# the terms of the GNU General Public License as published by the Free Software
+# Foundation, either version 3 of the License, or (at your option) any later
+# version.
+#
+# PyBrainSim is distributed in the hope that it will be useful, but WITHOUT ANY
+# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
+# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License along with
+# PyBrainSim.  If not, see <http://www.gnu.org/licenses/>.
+
+__metaclass__ = type # New style classes. Is this necessary?
+
+"""
+The GeneratorNoisy class is a reimplementation of the Generator class. It
+provides a simple generator which, whenever required, generates a number 
+generated from a Gaussian distribution with specified mean and variance.  
+"""
+
+from numpy.random import normal
+
+from Generator import Generator
+
+class GeneratorNoisy(Generator):
+    def __init__(self, name, head, position = [0,0,0], mean = 0, stddev = 0):
+        Generator.__init__(self, name, head, position)
+        self.mean = mean
+        self.stddev = stddev
+    
+    def printInfo(self):
+        print(self.name + ": A GeneratorNoisy object")
+
+    def runGenerator(self, time):
+        if self.stddev == 0:
+            self.activation = self.mean
+        else:
+            self.activation = normal(self.mean, self.stddev)
+        
+        return self.activation


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