

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


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 0.174689 in range [0.000000, 0.349378]...	no solution exists.
	Iteration #003: testing norm threshold 0.262034 in range [0.174689, 0.349378]...	solution exists & found.
	Iteration #004: testing norm threshold 0.218361 in range [0.174689, 0.262034]...	solution exists & found.
	Iteration #005: testing norm threshold 0.194839 in range [0.174689, 0.214989]...	no solution exists.
	Iteration #006: testing norm threshold 0.204914 in range [0.194839, 0.214989]...	solution exists & found.
	Iteration #007: testing norm threshold 0.199877 in range [0.194839, 0.204914]...	no solution exists.
	Iteration #008: testing norm threshold 0.202395 in range [0.199877, 0.204914]...	no solution exists.
	Iteration #009: testing norm threshold 0.203655 in range [0.202395, 0.204914]...	solution exists & found.
	Iteration #010: testing norm threshold 0.203025 in range [0.202395, 0.203655]...	solution exists & found.
	Iteration #011: testing norm threshold 0.202710 in range [0.202395, 0.203025]...	no solution exists.
	Iteration #012: testing norm threshold 0.202868 in range [0.202710, 0.203025]...	solution exists & found.
	Iteration #013: testing norm threshold 0.202789 in range [0.202710, 0.202868]...	solution exists & found.
	Iteration #014: testing norm threshold 0.202750 in range [0.202710, 0.202789]...	no solution exists.
	Iteration #015: testing norm threshold 0.202770 in range [0.202750, 0.202789]...	no solution exists.
	Iteration #016: testing norm threshold 0.202779 in range [0.202770, 0.202789]...	no solution exists.


Factual sample: 		 {x0 : -2.2020785435471137, x1 : -3.7070572713831114, y: False}
Nearest counterfactual sample:	 {x0 : 2.7529160704805675, x1 : -3.707149041292543, y: True} (verified)
Minimum counterfactual distance: 0.202789
