

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


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 0.180967 in range [0.000000, 0.361935]...	no solution exists.
	Iteration #003: testing norm threshold 0.271451 in range [0.180967, 0.361935]...	solution exists & found.
	Iteration #004: testing norm threshold 0.221331 in range [0.180967, 0.261694]...	solution exists & found.
	Iteration #005: testing norm threshold 0.201149 in range [0.180967, 0.221331]...	no solution exists.
	Iteration #006: testing norm threshold 0.211240 in range [0.201149, 0.221331]...	no solution exists.
	Iteration #007: testing norm threshold 0.216285 in range [0.211240, 0.221331]...	solution exists & found.
	Iteration #008: testing norm threshold 0.213763 in range [0.211240, 0.216285]...	solution exists & found.
	Iteration #009: testing norm threshold 0.212501 in range [0.211240, 0.213763]...	solution exists & found.
	Iteration #010: testing norm threshold 0.211871 in range [0.211240, 0.212501]...	solution exists & found.
	Iteration #011: testing norm threshold 0.211555 in range [0.211240, 0.211871]...	no solution exists.
	Iteration #012: testing norm threshold 0.211713 in range [0.211555, 0.211871]...	no solution exists.
	Iteration #013: testing norm threshold 0.211792 in range [0.211713, 0.211871]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211753 in range [0.211713, 0.211792]...	no solution exists.
	Iteration #015: testing norm threshold 0.211772 in range [0.211753, 0.211792]...	solution exists & found.
	Iteration #016: testing norm threshold 0.211762 in range [0.211753, 0.211772]...	no solution exists.


Factual sample: 		 {x0 : -2.900313933939848, x1 : -3.084656874285015, y: False}
Nearest counterfactual sample:	 {x0 : 2.2741251745513718, x1 : -3.0845141328853534, y: True} (verified)
Minimum counterfactual distance: 0.211772
