

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


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 0.116972 in range [0.000000, 0.233943]...	no solution exists.
	Iteration #003: testing norm threshold 0.175457 in range [0.116972, 0.233943]...	solution exists & found.
	Iteration #004: testing norm threshold 0.142219 in range [0.116972, 0.167467]...	no solution exists.
	Iteration #005: testing norm threshold 0.154843 in range [0.142219, 0.167467]...	no solution exists.
	Iteration #006: testing norm threshold 0.161155 in range [0.154843, 0.167467]...	solution exists & found.
	Iteration #007: testing norm threshold 0.157999 in range [0.154843, 0.161155]...	solution exists & found.
	Iteration #008: testing norm threshold 0.156421 in range [0.154843, 0.157999]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155632 in range [0.154843, 0.156421]...	solution exists & found.
	Iteration #010: testing norm threshold 0.155237 in range [0.154843, 0.155632]...	no solution exists.
	Iteration #011: testing norm threshold 0.155435 in range [0.155237, 0.155632]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155336 in range [0.155237, 0.155435]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155287 in range [0.155237, 0.155336]...	solution exists & found.
	Iteration #014: testing norm threshold 0.155262 in range [0.155237, 0.155287]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155250 in range [0.155237, 0.155262]...	no solution exists.
	Iteration #016: testing norm threshold 0.155256 in range [0.155250, 0.155262]...	no solution exists.


Factual sample: 		 {x0 : -3.5782975478751524, x1 : -0.4072392649884975, y: False}
Nearest counterfactual sample:	 {x0 : 0.21528313262488893, x1 : -0.4070490917936358, y: True} (verified)
Minimum counterfactual distance: 0.155262
