

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


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 0.120220 in range [0.000000, 0.240441]...	no solution exists.
	Iteration #003: testing norm threshold 0.180331 in range [0.120220, 0.240441]...	solution exists & found.
	Iteration #004: testing norm threshold 0.150276 in range [0.120220, 0.180331]...	no solution exists.
	Iteration #005: testing norm threshold 0.165303 in range [0.150276, 0.180331]...	no solution exists.
	Iteration #006: testing norm threshold 0.172817 in range [0.165303, 0.180331]...	solution exists & found.
	Iteration #007: testing norm threshold 0.169060 in range [0.165303, 0.172817]...	solution exists & found.
	Iteration #008: testing norm threshold 0.167182 in range [0.165303, 0.169060]...	no solution exists.
	Iteration #009: testing norm threshold 0.168121 in range [0.167182, 0.169060]...	no solution exists.
	Iteration #010: testing norm threshold 0.168591 in range [0.168121, 0.169060]...	no solution exists.
	Iteration #011: testing norm threshold 0.168825 in range [0.168591, 0.169060]...	solution exists & found.
	Iteration #012: testing norm threshold 0.168708 in range [0.168591, 0.168826]...	solution exists & found.
	Iteration #013: testing norm threshold 0.168649 in range [0.168591, 0.168708]...	solution exists & found.
	Iteration #014: testing norm threshold 0.168620 in range [0.168591, 0.168650]...	solution exists & found.
	Iteration #015: testing norm threshold 0.168605 in range [0.168591, 0.168620]...	solution exists & found.
	Iteration #016: testing norm threshold 0.168598 in range [0.168591, 0.168606]...	solution exists & found.


Factual sample: 		 {x0 : -1.7156030703254446, x1 : -3.1254273356101234, y: False}
Nearest counterfactual sample:	 {x0 : 2.404031667401761, x1 : -3.1254366502846724, y: True} (verified)
Minimum counterfactual distance: 0.168598
