

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


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 0.050272 in range [0.000000, 0.100544]...	no solution exists.
	Iteration #003: testing norm threshold 0.075408 in range [0.050272, 0.100544]...	no solution exists.
	Iteration #004: testing norm threshold 0.087976 in range [0.075408, 0.100544]...	no solution exists.
	Iteration #005: testing norm threshold 0.094260 in range [0.087976, 0.100544]...	solution exists & found.
	Iteration #006: testing norm threshold 0.091118 in range [0.087976, 0.094261]...	solution exists & found.
	Iteration #007: testing norm threshold 0.089547 in range [0.087976, 0.091119]...	solution exists & found.
	Iteration #008: testing norm threshold 0.088762 in range [0.087976, 0.089548]...	solution exists & found.
	Iteration #009: testing norm threshold 0.088369 in range [0.087976, 0.088762]...	solution exists & found.
	Iteration #010: testing norm threshold 0.088173 in range [0.087976, 0.088369]...	no solution exists.
	Iteration #011: testing norm threshold 0.088271 in range [0.088173, 0.088369]...	no solution exists.
	Iteration #012: testing norm threshold 0.088320 in range [0.088271, 0.088369]...	no solution exists.
	Iteration #013: testing norm threshold 0.088345 in range [0.088320, 0.088369]...	solution exists & found.
	Iteration #014: testing norm threshold 0.088333 in range [0.088320, 0.088345]...	no solution exists.
	Iteration #015: testing norm threshold 0.088339 in range [0.088333, 0.088345]...	solution exists & found.


Factual sample: 		 {x0 : -0.8194615228346422, x1 : -1.8684563976318167, y: False}
Nearest counterfactual sample:	 {x0 : 1.3390692220466867, x1 : -1.8684563976318167, y: True} (verified)
Minimum counterfactual distance: 0.088339
