

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


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 0.196642 in range [0.000000, 0.393284]...	no solution exists.
	Iteration #003: testing norm threshold 0.294963 in range [0.196642, 0.393284]...	solution exists & found.
	Iteration #004: testing norm threshold 0.239086 in range [0.196642, 0.281530]...	no solution exists.
	Iteration #005: testing norm threshold 0.260308 in range [0.239086, 0.281530]...	no solution exists.
	Iteration #006: testing norm threshold 0.270919 in range [0.260308, 0.281530]...	solution exists & found.
	Iteration #007: testing norm threshold 0.265613 in range [0.260308, 0.270919]...	no solution exists.
	Iteration #008: testing norm threshold 0.268266 in range [0.265613, 0.270919]...	no solution exists.
	Iteration #009: testing norm threshold 0.269592 in range [0.268266, 0.270919]...	solution exists & found.
	Iteration #010: testing norm threshold 0.268929 in range [0.268266, 0.269592]...	no solution exists.
	Iteration #011: testing norm threshold 0.269261 in range [0.268929, 0.269592]...	no solution exists.
	Iteration #012: testing norm threshold 0.269427 in range [0.269261, 0.269592]...	solution exists & found.
	Iteration #013: testing norm threshold 0.269344 in range [0.269261, 0.269427]...	solution exists & found.
	Iteration #014: testing norm threshold 0.269302 in range [0.269261, 0.269344]...	no solution exists.
	Iteration #015: testing norm threshold 0.269323 in range [0.269302, 0.269344]...	solution exists & found.
	Iteration #016: testing norm threshold 0.269313 in range [0.269302, 0.269323]...	no solution exists.
	Iteration #017: testing norm threshold 0.269318 in range [0.269313, 0.269323]...	no solution exists.


Factual sample: 		 {x0 : -3.45034518483309, x1 : -4.198149802293137, y: False}
Nearest counterfactual sample:	 {x0 : 3.1304861249445426, x1 : -4.198149802293137, y: True} (verified)
Minimum counterfactual distance: 0.269323
