

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


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 0.146907 in range [0.000000, 0.293814]...	no solution exists.
	Iteration #003: testing norm threshold 0.220360 in range [0.146907, 0.293814]...	solution exists & found.
	Iteration #004: testing norm threshold 0.183634 in range [0.146907, 0.220360]...	no solution exists.
	Iteration #005: testing norm threshold 0.201997 in range [0.183634, 0.220360]...	no solution exists.
	Iteration #006: testing norm threshold 0.211179 in range [0.201997, 0.220360]...	solution exists & found.
	Iteration #007: testing norm threshold 0.206588 in range [0.201997, 0.211179]...	no solution exists.
	Iteration #008: testing norm threshold 0.208883 in range [0.206588, 0.211179]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207736 in range [0.206588, 0.208883]...	no solution exists.
	Iteration #010: testing norm threshold 0.208310 in range [0.207736, 0.208883]...	no solution exists.
	Iteration #011: testing norm threshold 0.208597 in range [0.208310, 0.208883]...	no solution exists.
	Iteration #012: testing norm threshold 0.208740 in range [0.208597, 0.208883]...	no solution exists.
	Iteration #013: testing norm threshold 0.208812 in range [0.208740, 0.208883]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208776 in range [0.208740, 0.208812]...	no solution exists.
	Iteration #015: testing norm threshold 0.208794 in range [0.208776, 0.208812]...	solution exists & found.
	Iteration #016: testing norm threshold 0.208785 in range [0.208776, 0.208794]...	solution exists & found.


Factual sample: 		 {x0 : -3.1425424130665047, x1 : -2.5749361142980867, y: False}
Nearest counterfactual sample:	 {x0 : 1.9586482068294138, x1 : -2.5745560298560153, y: True} (verified)
Minimum counterfactual distance: 0.208785
