

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


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 0.131887 in range [0.000000, 0.263775]...	no solution exists.
	Iteration #003: testing norm threshold 0.197831 in range [0.131887, 0.263775]...	solution exists & found.
	Iteration #004: testing norm threshold 0.164859 in range [0.131887, 0.197831]...	no solution exists.
	Iteration #005: testing norm threshold 0.181345 in range [0.164859, 0.197831]...	no solution exists.
	Iteration #006: testing norm threshold 0.189588 in range [0.181345, 0.197831]...	solution exists & found.
	Iteration #007: testing norm threshold 0.185467 in range [0.181345, 0.189588]...	no solution exists.
	Iteration #008: testing norm threshold 0.187528 in range [0.185467, 0.189588]...	solution exists & found.
	Iteration #009: testing norm threshold 0.186497 in range [0.185467, 0.187528]...	solution exists & found.
	Iteration #010: testing norm threshold 0.185982 in range [0.185467, 0.186497]...	no solution exists.
	Iteration #011: testing norm threshold 0.186240 in range [0.185982, 0.186497]...	solution exists & found.
	Iteration #012: testing norm threshold 0.186111 in range [0.185982, 0.186240]...	no solution exists.
	Iteration #013: testing norm threshold 0.186175 in range [0.186111, 0.186240]...	solution exists & found.
	Iteration #014: testing norm threshold 0.186143 in range [0.186111, 0.186176]...	no solution exists.
	Iteration #015: testing norm threshold 0.186159 in range [0.186143, 0.186176]...	no solution exists.
	Iteration #016: testing norm threshold 0.186168 in range [0.186159, 0.186176]...	solution exists & found.


Factual sample: 		 {x0 : -1.8793643477634847, x1 : -3.453696692605138, y: False}
Nearest counterfactual sample:	 {x0 : 2.669584106268573, x1 : -3.453696692605138, y: True} (verified)
Minimum counterfactual distance: 0.186168
