

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


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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.138710 in range [0.000000, 0.277420]...	no solution exists.
	Iteration #003: testing norm threshold 0.208065 in range [0.138710, 0.277420]...	solution exists & found.
	Iteration #004: testing norm threshold 0.173387 in range [0.138710, 0.208065]...	no solution exists.
	Iteration #005: testing norm threshold 0.190726 in range [0.173387, 0.208065]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182057 in range [0.173387, 0.190726]...	no solution exists.
	Iteration #007: testing norm threshold 0.186391 in range [0.182057, 0.190726]...	solution exists & found.
	Iteration #008: testing norm threshold 0.184224 in range [0.182057, 0.186392]...	no solution exists.
	Iteration #009: testing norm threshold 0.185308 in range [0.184224, 0.186392]...	no solution exists.
	Iteration #010: testing norm threshold 0.185850 in range [0.185308, 0.186392]...	no solution exists.
	Iteration #011: testing norm threshold 0.186121 in range [0.185850, 0.186392]...	no solution exists.
	Iteration #012: testing norm threshold 0.186256 in range [0.186121, 0.186392]...	no solution exists.
	Iteration #013: testing norm threshold 0.186324 in range [0.186256, 0.186392]...	no solution exists.
	Iteration #014: testing norm threshold 0.186358 in range [0.186324, 0.186392]...	no solution exists.
	Iteration #015: testing norm threshold 0.186375 in range [0.186358, 0.186392]...	no solution exists.
	Iteration #016: testing norm threshold 0.186383 in range [0.186375, 0.186392]...	solution exists & found.


Factual sample: 		 {x0 : -3.171951415931164, x1 : -1.9246347352764988, y: False}
Nearest counterfactual sample:	 {x0 : 1.3822284333347818, x1 : -1.9246674381521436, y: True} (verified)
Minimum counterfactual distance: 0.186383
