

==============================================


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 'output': {'y': {'symbol': y}}}
Constructing initial formulas: model, counterfactual, distance, plausibility, diversity		done.
Solving (not searching) for closest counterfactual using various distance thresholds...
	Iteration #001: testing norm threshold 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.125666 in range [0.000000, 0.251333]...	no solution exists.
	Iteration #003: testing norm threshold 0.188499 in range [0.125666, 0.251333]...	no solution exists.
	Iteration #004: testing norm threshold 0.219916 in range [0.188499, 0.251333]...	no solution exists.
	Iteration #005: testing norm threshold 0.235624 in range [0.219916, 0.251333]...	no solution exists.
	Iteration #006: testing norm threshold 0.243478 in range [0.235624, 0.251333]...	solution exists & found.
	Iteration #007: testing norm threshold 0.239551 in range [0.235624, 0.243478]...	solution exists & found.
	Iteration #008: testing norm threshold 0.237588 in range [0.235624, 0.239551]...	no solution exists.
	Iteration #009: testing norm threshold 0.238570 in range [0.237588, 0.239551]...	no solution exists.
	Iteration #010: testing norm threshold 0.239061 in range [0.238570, 0.239551]...	no solution exists.
	Iteration #011: testing norm threshold 0.239306 in range [0.239061, 0.239551]...	solution exists & found.
	Iteration #012: testing norm threshold 0.239183 in range [0.239061, 0.239306]...	solution exists & found.
	Iteration #013: testing norm threshold 0.239122 in range [0.239061, 0.239183]...	no solution exists.
	Iteration #014: testing norm threshold 0.239153 in range [0.239122, 0.239183]...	solution exists & found.
	Iteration #015: testing norm threshold 0.239137 in range [0.239122, 0.239153]...	solution exists & found.
	Iteration #016: testing norm threshold 0.239130 in range [0.239122, 0.239138]...	solution exists & found.


Factual sample: 		 {x0 : -3.641632234632204, x1 : -2.9898335005312884, y: False}
Nearest counterfactual sample:	 {x0 : 2.2013638943438774, x1 : -2.989897693071594, y: True} (verified)
Minimum counterfactual distance: 0.239130
