diff --git a/copycat/codeletMethods.py b/copycat/codeletMethods.py
index 60c7e89..712d3bc 100644
--- a/copycat/codeletMethods.py
+++ b/copycat/codeletMethods.py
@@ -14,6 +14,7 @@ from correspondence import Correspondence
 from workspaceFormulas import chooseUnmodifiedObject
 from workspaceFormulas import chooseBondFacet
 
+
 def codelet(name):
     """Decorator for otherwise-unused functions that are in fact used as codelet behaviors"""
     def wrap(f):
@@ -23,6 +24,7 @@ def codelet(name):
         return f
     return wrap
 
+
 # some methods common to the codelets
 def __showWhichStringObjectIsFrom(structure):
     if not structure:
diff --git a/copycat/randomness.py b/copycat/randomness.py
index 9011b3b..d5dd99b 100644
--- a/copycat/randomness.py
+++ b/copycat/randomness.py
@@ -2,12 +2,14 @@ import bisect
 import math
 import random
 
+
 def accumulate(iterable):
     total = 0
     for v in iterable:
         total += v
         yield total
 
+
 class Randomness(object):
     def __init__(self, seed=None):
         self.rng = random.Random(seed)
diff --git a/copycat/temperature.py b/copycat/temperature.py
index 99727f1..f00e479 100644
--- a/copycat/temperature.py
+++ b/copycat/temperature.py
@@ -1,5 +1,6 @@
 import math
 
+
 class Temperature(object):
     def __init__(self):
         self.reset()
diff --git a/copycat/tests.py b/copycat/tests.py
index c3c5ee0..e55e197 100644
--- a/copycat/tests.py
+++ b/copycat/tests.py
@@ -1,9 +1,8 @@
-"""Run the copycat program"""
-
 import unittest
 
 from context import Context
 
+
 def pnormaldist(p):
     table = {
         0.80: 1.2815,
@@ -21,7 +20,8 @@ def pnormaldist(p):
         0.99999999: 5.7307,
         0.999999999: 6.1094,
     }
-    return max(v for k,v in table.iteritems() if k <= p)
+    return max(v for k, v in table.iteritems() if k <= p)
+
 
 def lower_bound_on_probability(hits, attempts, confidence=0.95):
     if attempts == 0:
@@ -33,6 +33,7 @@ def lower_bound_on_probability(hits, attempts, confidence=0.95):
     denominator = (1 + zsqr / attempts)
     return (phat + zsqr / (2*attempts) - z * (under_sqrt ** 0.5)) / denominator
 
+
 def upper_bound_on_probability(hits, attempts, confidence=0.95):
     misses = attempts - hits
     return 1.0 - lower_bound_on_probability(misses, attempts, confidence)
@@ -131,5 +132,6 @@ class TestCopycat(unittest.TestCase):
             'kitten': {'count': 4, 'avgtemp': 68},
         })
 
+
 if __name__ == '__main__':
     unittest.main()