]> gitweb.michael.orlitzky.com - dunshire.git/blobdiff - src/dunshire/errors.py
Fix two more pylint bad-variable-name warnings.
[dunshire.git] / src / dunshire / errors.py
index 3a5b601cec9ca0a2753e16ede6460a2ac6ca101a..99df2a12566250e622366766bb36880d1ba28c35 100644 (file)
@@ -10,7 +10,10 @@ def _pretty_format_dict(dictionary):
     Return a pretty-formatted string representation of a dictionary
     containing CVXOPT matrices.
 
-    EXAMPLES:
+    The dictionary is also sorted so that it can be tested repeatably.
+
+    Examples
+    --------
 
         >>> d = {'foo': 1.234, 'bar': matrix([1,2,3])}
         >>> print(_pretty_format_dict(d))
@@ -22,7 +25,7 @@ def _pretty_format_dict(dictionary):
 
     """
     result = ''
-    for (key, value) in dictionary.items():
+    for (key, value) in sorted(dictionary.items()):
         if isinstance(value, matrix):
             # Display matrices on their own lines, indented.
             result += '{:s}:'.format(key)
@@ -37,20 +40,67 @@ def _pretty_format_dict(dictionary):
 
 class GameUnsolvableException(Exception):
     """
-    Every linear game has a solution (this follows from a general
-    min-max theorem). If we can't solve the conic program associated
-    with a linear game, then something is wrong with either the model of
-    the input.
+    An exception raised when a game cannot be solved.
+
+    Every linear game has a solution. If we can't solve the conic
+    program associated with a linear game, then something is wrong with
+    either the model or the input, and this exception should be raised.
+
+    Parameters
+    ----------
+
+    solution_dict : dict
+        The solution dictionary returned from the failed cone program.
+
+    Examples
+    --------
+
+       >>> d = {'residual as dual infeasibility certificate': None,
+       ...      'y': matrix([1,1]),
+       ...      'dual slack': 8.779496368228267e-10,
+       ...      'z': matrix([1,1,0,0]),
+       ...      's': None,
+       ...      'primal infeasibility': None,
+       ...      'status': 'primal infeasible',
+       ...      'dual infeasibility': None,
+       ...      'relative gap': None,
+       ...      'iterations': 5,
+       ...      'primal slack': None,
+       ...      'x': None,
+       ...      'dual objective': 1.0,
+       ...      'primal objective': None,
+       ...      'gap': None,
+       ...      'residual as primal infeasibility certificate':
+       ...          3.986246886102996e-09}
+       >>> print(GameUnsolvableException(d))
+       Solution failed with result "primal infeasible."
+       CVXOPT returned:
+         dual infeasibility: None
+         dual objective: 1.0
+         dual slack: 8.779496368228267e-10
+         gap: None
+         iterations: 5
+         primal infeasibility: None
+         primal objective: None
+         primal slack: None
+         relative gap: None
+         residual as dual infeasibility certificate: None
+         residual as primal infeasibility certificate: 3.986246886102996e-09
+         s: None
+         status: primal infeasible
+         x: None
+         y:
+           [ 1]
+           [ 1]
+         z:
+           [ 1]
+           [ 1]
+           [ 0]
+           [ 0]
     """
     def __init__(self, solution_dict):
         """
         Create a new GameUnsolvableException object.
-
-        INPUT:
-
-        - ``solution_dict`` -- the solution dictionary returned from the
-          cone program.
-
         """
         super().__init__()
         self._solution_dict = solution_dict