' e1 = {:s},\n' \
' e2 = {:s},\n' \
' Condition((L, K, e1, e2)) = {:f}.'
- indented_L = '\n '.join(str(self._L).splitlines())
- indented_e1 = '\n '.join(str(self._e1).splitlines())
- indented_e2 = '\n '.join(str(self._e2).splitlines())
+ indented_L = '\n '.join(str(self.L()).splitlines())
+ indented_e1 = '\n '.join(str(self.e1()).splitlines())
+ indented_e2 = '\n '.join(str(self.e2()).splitlines())
return tpl.format(indented_L,
- str(self._K),
+ str(self.K()),
indented_e1,
indented_e2,
self.condition())
<BLANKLINE>
"""
- return matrix([0, self._e2], (1, self.dimension() + 1), 'd')
+ return matrix([0, self.e2()], (1, self.dimension() + 1), 'd')
"""
identity_matrix = identity(self.dimension())
return append_row(append_col(self._zero(), -identity_matrix),
- append_col(self._e1, -self._L))
+ append_col(self.e1(), -self.L()))
def _c(self):
"""
try:
- opts = {'show_progress': options.VERBOSE}
+ opts = {'show_progress': False}
soln_dict = solvers.conelp(self._c(),
self._G(),
self._h(),
# Oops, CVXOPT tried to take the square root of a
# negative number. Report some details about the game
# rather than just the underlying CVXOPT crash.
+ printing.options['dformat'] = options.DEBUG_FLOAT_FORMAT
raise PoorScalingException(self)
else:
raise error
# that CVXOPT is convinced the problem is infeasible (and that
# cannot happen).
if soln_dict['status'] in ['primal infeasible', 'dual infeasible']:
+ printing.options['dformat'] = options.DEBUG_FLOAT_FORMAT
raise GameUnsolvableException(self, soln_dict)
# The "optimal" and "unknown" results, we actually treat the
# it) because otherwise CVXOPT might return "unknown" and give
# us two points in the cone that are nowhere near optimal.
if abs(p1_value - p2_value) > 2*options.ABS_TOL:
+ printing.options['dformat'] = options.DEBUG_FLOAT_FORMAT
raise GameUnsolvableException(self, soln_dict)
# And we also check that the points it gave us belong to the
# cone, just in case...
if (p1_optimal not in self._K) or (p2_optimal not in self._K):
+ printing.options['dformat'] = options.DEBUG_FLOAT_FORMAT
raise GameUnsolvableException(self, soln_dict)
# For the game value, we could use any of:
Condition((L, K, e1, e2)) = 44.476...
"""
- # We pass ``self._L`` right back into the constructor, because
+ # We pass ``self.L()`` right back into the constructor, because
# it will be transposed there. And keep in mind that ``self._K``
# is its own dual.
- return SymmetricLinearGame(self._L,
- self._K,
- self._e2,
- self._e1)
+ return SymmetricLinearGame(self.L(),
+ self.K(),
+ self.e2(),
+ self.e1())