

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


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 0.102591 in range [0.000000, 0.205183]...	no solution exists.
	Iteration #003: testing norm threshold 0.153887 in range [0.102591, 0.205183]...	no solution exists.
	Iteration #004: testing norm threshold 0.179535 in range [0.153887, 0.205183]...	solution exists & found.
	Iteration #005: testing norm threshold 0.166711 in range [0.153887, 0.179535]...	solution exists & found.
	Iteration #006: testing norm threshold 0.160299 in range [0.153887, 0.166711]...	solution exists & found.
	Iteration #007: testing norm threshold 0.157093 in range [0.153887, 0.160299]...	solution exists & found.
	Iteration #008: testing norm threshold 0.155490 in range [0.153887, 0.157093]...	solution exists & found.
	Iteration #009: testing norm threshold 0.154688 in range [0.153887, 0.155490]...	no solution exists.
	Iteration #010: testing norm threshold 0.155089 in range [0.154688, 0.155490]...	no solution exists.
	Iteration #011: testing norm threshold 0.155290 in range [0.155089, 0.155490]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155190 in range [0.155089, 0.155290]...	no solution exists.
	Iteration #013: testing norm threshold 0.155240 in range [0.155190, 0.155290]...	no solution exists.
	Iteration #014: testing norm threshold 0.155265 in range [0.155240, 0.155290]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155252 in range [0.155240, 0.155265]...	no solution exists.
	Iteration #016: testing norm threshold 0.155259 in range [0.155252, 0.155265]...	solution exists & found.


Factual sample: 		 {x0 : -3.5782975478751524, x1 : -0.4072392649884975, y: False}
Nearest counterfactual sample:	 {x0 : 0.21539858154205363, x1 : -0.4072392649884975, y: True} (verified)
Minimum counterfactual distance: 0.155259
