

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


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 0.142254 in range [0.000000, 0.284509]...	no solution exists.
	Iteration #003: testing norm threshold 0.213382 in range [0.142254, 0.284509]...	no solution exists.
	Iteration #004: testing norm threshold 0.248945 in range [0.213382, 0.284509]...	no solution exists.
	Iteration #005: testing norm threshold 0.266727 in range [0.248945, 0.284509]...	no solution exists.
	Iteration #006: testing norm threshold 0.275618 in range [0.266727, 0.284509]...	solution exists & found.
	Iteration #007: testing norm threshold 0.271172 in range [0.266727, 0.275618]...	no solution exists.
	Iteration #008: testing norm threshold 0.273395 in range [0.271172, 0.275618]...	solution exists & found.
	Iteration #009: testing norm threshold 0.272284 in range [0.271172, 0.273395]...	no solution exists.
	Iteration #010: testing norm threshold 0.272840 in range [0.272284, 0.273395]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272562 in range [0.272284, 0.272840]...	solution exists & found.
	Iteration #012: testing norm threshold 0.272423 in range [0.272284, 0.272562]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272353 in range [0.272284, 0.272423]...	solution exists & found.
	Iteration #014: testing norm threshold 0.272319 in range [0.272284, 0.272354]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272301 in range [0.272284, 0.272319]...	solution exists & found.
	Iteration #016: testing norm threshold 0.272293 in range [0.272284, 0.272301]...	no solution exists.


Factual sample: 		 {x0 : -4.511166425358593, x1 : -2.913257952081682, y: False}
Nearest counterfactual sample:	 {x0 : 2.1424362109719097, x1 : -2.913257952081682, y: True} (verified)
Minimum counterfactual distance: 0.272301
