From b934f519ba41db6fe6b4fb025b13ee9718f27be6 Mon Sep 17 00:00:00 2001
From: Michael Orlitzky <michael@orlitzky.com>
Date: Fri, 11 Nov 2016 15:18:03 -0500
Subject: [PATCH] Fix an example in the overview docs, and use ellipses in
 doctests.

---
 doc/source/overview.rst | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/doc/source/overview.rst b/doc/source/overview.rst
index f4b4220..98353b2 100644
--- a/doc/source/overview.rst
+++ b/doc/source/overview.rst
@@ -72,13 +72,13 @@ First, we use the nonnegative orthant in :math:`\mathbb{R}^{2}`:
   >>> e2 = e1
   >>> G = SymmetricLinearGame(L,K,e1,e2)
   >>> print(G.solution())
-  Game value: 0.5000000
+  Game value: 0.500...
   Player 1 optimal:
-    [0.5000000]
-    [0.5000000]
+    [0.500...]
+    [0.500...]
   Player 2 optimal:
-    [0.5000000]
-    [0.5000000]
+    [0.500...]
+    [0.500...]
 
 Next we try the Lorentz ice-cream cone in :math:`\mathbb{R}^{2}`:
 
@@ -87,16 +87,16 @@ Next we try the Lorentz ice-cream cone in :math:`\mathbb{R}^{2}`:
   >>> from dunshire import *
   >>> K = IceCream(2)
   >>> L = [[1,0],[0,1]]
-  >>> e1 = [1,1]
+  >>> e1 = [1,0]
   >>> e2 = e1
   >>> G = SymmetricLinearGame(L,K,e1,e2)
   >>> print(G.solution())
-  Game value: 0.5000000
+  Game value: 1.000...
   Player 1 optimal:
-    [0.8347039]
-    [0.1652961]
+    [1.000...]
+    [0.000...]
   Player 2 optimal:
-    [0.5000000]
-    [0.5000000]
+    [1.000...]
+    [0.000...]
 
 Note that these solutions are not unique, although the game values are.
-- 
2.43.2