

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


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 0.061916 in range [0.000000, 0.123832]...	no solution exists.
	Iteration #003: testing norm threshold 0.092874 in range [0.061916, 0.123832]...	no solution exists.
	Iteration #004: testing norm threshold 0.108353 in range [0.092874, 0.123832]...	no solution exists.
	Iteration #005: testing norm threshold 0.116093 in range [0.108353, 0.123832]...	solution exists & found.
	Iteration #006: testing norm threshold 0.112223 in range [0.108353, 0.116093]...	solution exists & found.
	Iteration #007: testing norm threshold 0.110288 in range [0.108353, 0.112223]...	no solution exists.
	Iteration #008: testing norm threshold 0.111256 in range [0.110288, 0.112223]...	no solution exists.
	Iteration #009: testing norm threshold 0.111739 in range [0.111256, 0.112223]...	solution exists & found.
	Iteration #010: testing norm threshold 0.111497 in range [0.111256, 0.111739]...	no solution exists.
	Iteration #011: testing norm threshold 0.111618 in range [0.111497, 0.111739]...	no solution exists.
	Iteration #012: testing norm threshold 0.111679 in range [0.111618, 0.111739]...	solution exists & found.
	Iteration #013: testing norm threshold 0.111649 in range [0.111618, 0.111679]...	solution exists & found.
	Iteration #014: testing norm threshold 0.111634 in range [0.111618, 0.111649]...	solution exists & found.
	Iteration #015: testing norm threshold 0.111626 in range [0.111618, 0.111634]...	solution exists & found.


Factual sample: 		 {x0 : -0.8162046587619045, x1 : -2.612690549642645, y: False}
Nearest counterfactual sample:	 {x0 : 1.9113455833052806, x1 : -2.612690549642645, y: True} (verified)
Minimum counterfactual distance: 0.111626
