

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


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 0.158083 in range [0.000000, 0.316166]...	no solution exists.
	Iteration #003: testing norm threshold 0.237125 in range [0.158083, 0.316166]...	solution exists & found.
	Iteration #004: testing norm threshold 0.197604 in range [0.158083, 0.237125]...	no solution exists.
	Iteration #005: testing norm threshold 0.217364 in range [0.197604, 0.237125]...	no solution exists.
	Iteration #006: testing norm threshold 0.227245 in range [0.217364, 0.237125]...	solution exists & found.
	Iteration #007: testing norm threshold 0.222305 in range [0.217364, 0.227245]...	no solution exists.
	Iteration #008: testing norm threshold 0.224775 in range [0.222305, 0.227245]...	no solution exists.
	Iteration #009: testing norm threshold 0.226010 in range [0.224775, 0.227245]...	solution exists & found.
	Iteration #010: testing norm threshold 0.225392 in range [0.224775, 0.226010]...	no solution exists.
	Iteration #011: testing norm threshold 0.225701 in range [0.225392, 0.226010]...	solution exists & found.
	Iteration #012: testing norm threshold 0.225547 in range [0.225392, 0.225701]...	no solution exists.
	Iteration #013: testing norm threshold 0.225624 in range [0.225547, 0.225701]...	solution exists & found.
	Iteration #014: testing norm threshold 0.225585 in range [0.225547, 0.225624]...	no solution exists.
	Iteration #015: testing norm threshold 0.225605 in range [0.225585, 0.225624]...	solution exists & found.
	Iteration #016: testing norm threshold 0.225595 in range [0.225585, 0.225605]...	no solution exists.


Factual sample: 		 {x0 : -3.5351555574277933, x1 : -2.597881583732408, y: False}
Nearest counterfactual sample:	 {x0 : 1.9774279060188613, x1 : -2.597881583732408, y: True} (verified)
Minimum counterfactual distance: 0.225605
