

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


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 0.142151 in range [0.000000, 0.284302]...	no solution exists.
	Iteration #003: testing norm threshold 0.213226 in range [0.142151, 0.284302]...	no solution exists.
	Iteration #004: testing norm threshold 0.248764 in range [0.213226, 0.284302]...	no solution exists.
	Iteration #005: testing norm threshold 0.266533 in range [0.248764, 0.284302]...	no solution exists.
	Iteration #006: testing norm threshold 0.275417 in range [0.266533, 0.284302]...	solution exists & found.
	Iteration #007: testing norm threshold 0.270975 in range [0.266533, 0.275417]...	no solution exists.
	Iteration #008: testing norm threshold 0.273196 in range [0.270975, 0.275417]...	solution exists & found.
	Iteration #009: testing norm threshold 0.272086 in range [0.270975, 0.273196]...	no solution exists.
	Iteration #010: testing norm threshold 0.272641 in range [0.272086, 0.273196]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272364 in range [0.272086, 0.272641]...	solution exists & found.
	Iteration #012: testing norm threshold 0.272225 in range [0.272086, 0.272364]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272155 in range [0.272086, 0.272225]...	solution exists & found.
	Iteration #014: testing norm threshold 0.272121 in range [0.272086, 0.272155]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272103 in range [0.272086, 0.272121]...	solution exists & found.
	Iteration #016: testing norm threshold 0.272095 in range [0.272086, 0.272103]...	solution exists & found.


Factual sample: 		 {x0 : -2.646544506580405, x1 : -5.331553427321787, y: False}
Nearest counterfactual sample:	 {x0 : 4.00198608383297, x1 : -5.331573211092044, y: True} (verified)
Minimum counterfactual distance: 0.272095
