Interactive replotting in hopfield without plt.ion(), which caused er…

…rors;

conda_build/meta.yaml

@@ -37,11 +37,11 @@ test:
     - neurodynex.test
 
   commands:
-    - nosetests neurodynex.test.test_LIF
-    - nosetests neurodynex.test.test_HH
-    - nosetests neurodynex.test.test_hopfield
-    - nosetests neurodynex.test.test_nagumo
-    - nosetests neurodynex.test.test_neuron_type
+    - nosetests --verbosity=2 neurodynex.test.test_LIF
+    - nosetests --verbosity=2 neurodynex.test.test_HH
+    - nosetests --verbosity=2 neurodynex.test.test_hopfield
+    - nosetests --verbosity=2 neurodynex.test.test_nagumo
+    - nosetests --verbosity=2 neurodynex.test.test_neuron_type
 
   requires:
     - nose

neurodynex/hopfield_network/hopfield.py

@@ -26,14 +26,12 @@
 import matplotlib.pyplot as plt
 import numpy as np
 from copy import copy
-from time import sleep
 import pickle
 import gzip
 from pkg_resources import resource_filename
 import sys
 
 plot_dic = {'cmap': plt.cm.gray, 'interpolation': 'nearest'}
-plt.ion()
 
 
 class HopfieldNetwork:
@@ -166,7 +164,7 @@ def run(self, t_max=20, mu=0, flip_ratio=0, do_plot=True):
         overlap = [self.overlap(mu)]
 
         # prepare the figure
-        plt.figure()
+        fig = plt.figure()
 
         # plot the current network state
         plt.subplot(221)
@@ -191,7 +189,7 @@ def run(self, t_max=20, mu=0, flip_ratio=0, do_plot=True):
         plt.ylabel('overlap')
 
         # this forces pylab to update and show the fig.
-        plt.draw()
+        fig.show()
         x_old = copy(self.x)
 
         for i in range(t_max):
@@ -215,7 +213,7 @@ def run(self, t_max=20, mu=0, flip_ratio=0, do_plot=True):
             x_old = copy(self.x)
 
             # sleep for replotting
-            sleep(0.5)
+            plt.pause(0.5)
 
         print("Pattern recovered in %i time steps." % i_fin +
               " Final overlap %.3f" % overlap[-1])