

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


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 0.141496 in range [0.000000, 0.282991]...	no solution exists.
	Iteration #003: testing norm threshold 0.212243 in range [0.141496, 0.282991]...	solution exists & found.
	Iteration #004: testing norm threshold 0.173339 in range [0.141496, 0.205183]...	solution exists & found.
	Iteration #005: testing norm threshold 0.154481 in range [0.141496, 0.167467]...	no solution exists.
	Iteration #006: testing norm threshold 0.160974 in range [0.154481, 0.167467]...	solution exists & found.
	Iteration #007: testing norm threshold 0.157728 in range [0.154481, 0.160974]...	solution exists & found.
	Iteration #008: testing norm threshold 0.156104 in range [0.154481, 0.157728]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155293 in range [0.154481, 0.156104]...	solution exists & found.
	Iteration #010: testing norm threshold 0.154887 in range [0.154481, 0.155293]...	no solution exists.
	Iteration #011: testing norm threshold 0.155090 in range [0.154887, 0.155293]...	no solution exists.
	Iteration #012: testing norm threshold 0.155191 in range [0.155090, 0.155293]...	no solution exists.
	Iteration #013: testing norm threshold 0.155242 in range [0.155191, 0.155293]...	no solution exists.
	Iteration #014: testing norm threshold 0.155267 in range [0.155242, 0.155293]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155255 in range [0.155242, 0.155268]...	no solution exists.
	Iteration #016: testing norm threshold 0.155261 in range [0.155255, 0.155268]...	solution exists & found.


Factual sample: 		 {x0 : -3.5782975478751524, x1 : -0.4072392649884975, y: False}
Nearest counterfactual sample:	 {x0 : 0.2154237130372596, x1 : -0.40727763170757825, y: True} (verified)
Minimum counterfactual distance: 0.155261
