

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


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 0.160713 in range [0.000000, 0.321425]...	no solution exists.
	Iteration #003: testing norm threshold 0.241069 in range [0.160713, 0.321425]...	solution exists & found.
	Iteration #004: testing norm threshold 0.200891 in range [0.160713, 0.241069]...	no solution exists.
	Iteration #005: testing norm threshold 0.220980 in range [0.200891, 0.241069]...	no solution exists.
	Iteration #006: testing norm threshold 0.231024 in range [0.220980, 0.241069]...	solution exists & found.
	Iteration #007: testing norm threshold 0.226002 in range [0.220980, 0.231025]...	no solution exists.
	Iteration #008: testing norm threshold 0.228513 in range [0.226002, 0.231025]...	no solution exists.
	Iteration #009: testing norm threshold 0.229769 in range [0.228513, 0.231025]...	solution exists & found.
	Iteration #010: testing norm threshold 0.229141 in range [0.228513, 0.229769]...	no solution exists.
	Iteration #011: testing norm threshold 0.229455 in range [0.229141, 0.229769]...	no solution exists.
	Iteration #012: testing norm threshold 0.229612 in range [0.229455, 0.229769]...	solution exists & found.
	Iteration #013: testing norm threshold 0.229534 in range [0.229455, 0.229612]...	no solution exists.
	Iteration #014: testing norm threshold 0.229573 in range [0.229534, 0.229612]...	solution exists & found.
	Iteration #015: testing norm threshold 0.229553 in range [0.229534, 0.229573]...	no solution exists.
	Iteration #016: testing norm threshold 0.229563 in range [0.229553, 0.229573]...	solution exists & found.


Factual sample: 		 {x0 : -3.553928882935047, x1 : -2.6942883861137865, y: False}
Nearest counterfactual sample:	 {x0 : 2.055362042552539, x1 : -2.6942721975367325, y: True} (verified)
Minimum counterfactual distance: 0.229563
