A bunch more doc fixes.

[dunshire.git] / dunshire / games.py

diff --git a/dunshire/games.py b/dunshire/games.py
index 7dd280651fe954c6c1550a962bb2637f7122148a..ea7a64f6b8e6451a808b464494c11e9be9f0de78 100644 (file)
--- a/dunshire/games.py
+++ b/dunshire/games.py
@@ -924,16 +924,18 @@ class SymmetricLinearGame:
 
     def tolerance_scale(self, solution):
         r"""
-        Return a scaling factor that should be applied to :const:`ABS_TOL`
-        for this game.
+
+        Return a scaling factor that should be applied to
+        :const:`dunshire.options.ABS_TOL` for this game.
 
         When performing certain comparisons, the default tolerance
-        :const:`ABS_TOL` may not be appropriate. For example, if we expect
-        ``x`` and ``y`` to be within :const:`ABS_TOL` of each other,
-        than the inner product of ``L*x`` and ``y`` can be as far apart
-        as the spectral norm of ``L`` times the sum of the norms of
-        ``x`` and ``y``. Such a comparison is made in :meth:`solution`,
-        and in many of our unit tests.
+        :const:`dunshire.options.ABS_TOL` may not be appropriate. For
+        example, if we expect ``x`` and ``y`` to be within
+        :const:`dunshire.options.ABS_TOL` of each other, than the inner
+        product of ``L*x`` and ``y`` can be as far apart as the spectral
+        norm of ``L`` times the sum of the norms of ``x`` and
+        ``y``. Such a comparison is made in :meth:`solution`, and in
+        many of our unit tests.
 
         The returned scaling factor found from the inner product
         mentioned above is
@@ -967,7 +969,8 @@ class SymmetricLinearGame:
         -------
 
         float
-            A scaling factor to be multiplied by :const:`ABS_TOL` when
+            A scaling factor to be multiplied by
+            :const:`dunshire.options.ABS_TOL` when
             making comparisons involving solutions of this game.
 
         Examples
@@ -1004,7 +1007,7 @@ class SymmetricLinearGame:
         Returns
         -------
 
-        :class:`Solution`
+        Solution
             A :class:`Solution` object describing the game's value and
             the optimal strategies of both players.