

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


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 0.055766 in range [0.000000, 0.111532]...	no solution exists.
	Iteration #003: testing norm threshold 0.083649 in range [0.055766, 0.111532]...	no solution exists.
	Iteration #004: testing norm threshold 0.097590 in range [0.083649, 0.111532]...	no solution exists.
	Iteration #005: testing norm threshold 0.104561 in range [0.097590, 0.111532]...	solution exists & found.
	Iteration #006: testing norm threshold 0.101076 in range [0.097590, 0.104561]...	solution exists & found.
	Iteration #007: testing norm threshold 0.099333 in range [0.097590, 0.101076]...	solution exists & found.
	Iteration #008: testing norm threshold 0.098462 in range [0.097590, 0.099333]...	no solution exists.
	Iteration #009: testing norm threshold 0.098897 in range [0.098462, 0.099333]...	no solution exists.
	Iteration #010: testing norm threshold 0.099115 in range [0.098897, 0.099333]...	no solution exists.
	Iteration #011: testing norm threshold 0.099224 in range [0.099115, 0.099333]...	solution exists & found.
	Iteration #012: testing norm threshold 0.099170 in range [0.099115, 0.099224]...	solution exists & found.
	Iteration #013: testing norm threshold 0.099143 in range [0.099115, 0.099170]...	solution exists & found.
	Iteration #014: testing norm threshold 0.099129 in range [0.099115, 0.099143]...	solution exists & found.
	Iteration #015: testing norm threshold 0.099122 in range [0.099115, 0.099129]...	no solution exists.


Factual sample: 		 {x0 : -1.3203554627236656, x1 : -1.5149440222826185, y: False}
Nearest counterfactual sample:	 {x0 : 1.1018309588983073, x1 : -1.5149440222826185, y: True} (verified)
Minimum counterfactual distance: 0.099129
