

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


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 0.148747 in range [0.000000, 0.297495]...	no solution exists.
	Iteration #003: testing norm threshold 0.223121 in range [0.148747, 0.297495]...	no solution exists.
	Iteration #004: testing norm threshold 0.260308 in range [0.223121, 0.297495]...	no solution exists.
	Iteration #005: testing norm threshold 0.278901 in range [0.260308, 0.297495]...	no solution exists.
	Iteration #006: testing norm threshold 0.288198 in range [0.278901, 0.297495]...	solution exists & found.
	Iteration #007: testing norm threshold 0.283550 in range [0.278901, 0.288198]...	no solution exists.
	Iteration #008: testing norm threshold 0.285874 in range [0.283550, 0.288198]...	solution exists & found.
	Iteration #009: testing norm threshold 0.284712 in range [0.283550, 0.285874]...	no solution exists.
	Iteration #010: testing norm threshold 0.285293 in range [0.284712, 0.285874]...	solution exists & found.
	Iteration #011: testing norm threshold 0.285002 in range [0.284712, 0.285293]...	no solution exists.
	Iteration #012: testing norm threshold 0.285148 in range [0.285002, 0.285293]...	solution exists & found.
	Iteration #013: testing norm threshold 0.285075 in range [0.285002, 0.285148]...	no solution exists.
	Iteration #014: testing norm threshold 0.285111 in range [0.285075, 0.285148]...	solution exists & found.
	Iteration #015: testing norm threshold 0.285093 in range [0.285075, 0.285112]...	solution exists & found.
	Iteration #016: testing norm threshold 0.285084 in range [0.285075, 0.285093]...	no solution exists.


Factual sample: 		 {x0 : -4.00618903174689, x1 : -3.812697933571919, y: False}
Nearest counterfactual sample:	 {x0 : 2.9598997114658454, x1 : -3.8127745894283636, y: True} (verified)
Minimum counterfactual distance: 0.285093
