

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


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 0.155359 in range [0.000000, 0.310717]...	no solution exists.
	Iteration #003: testing norm threshold 0.233038 in range [0.155359, 0.310717]...	no solution exists.
	Iteration #004: testing norm threshold 0.271877 in range [0.233038, 0.310717]...	solution exists & found.
	Iteration #005: testing norm threshold 0.252458 in range [0.233038, 0.271878]...	no solution exists.
	Iteration #006: testing norm threshold 0.262168 in range [0.252458, 0.271878]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257313 in range [0.252458, 0.262168]...	no solution exists.
	Iteration #008: testing norm threshold 0.259740 in range [0.257313, 0.262168]...	no solution exists.
	Iteration #009: testing norm threshold 0.260954 in range [0.259740, 0.262168]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260347 in range [0.259740, 0.260954]...	no solution exists.
	Iteration #011: testing norm threshold 0.260651 in range [0.260347, 0.260954]...	no solution exists.
	Iteration #012: testing norm threshold 0.260802 in range [0.260651, 0.260954]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260727 in range [0.260651, 0.260802]...	no solution exists.
	Iteration #014: testing norm threshold 0.260764 in range [0.260727, 0.260802]...	no solution exists.
	Iteration #015: testing norm threshold 0.260783 in range [0.260764, 0.260802]...	no solution exists.
	Iteration #016: testing norm threshold 0.260793 in range [0.260783, 0.260802]...	solution exists & found.


Factual sample: 		 {x0 : -3.50485698830111, x1 : -3.8562565204819057, y: False}
Nearest counterfactual sample:	 {x0 : 2.867500725322205, x1 : -3.856217945074803, y: True} (verified)
Minimum counterfactual distance: 0.260793
