

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


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 0.154646 in range [0.000000, 0.309291]...	no solution exists.
	Iteration #003: testing norm threshold 0.231968 in range [0.154646, 0.309291]...	solution exists & found.
	Iteration #004: testing norm threshold 0.188025 in range [0.154646, 0.221404]...	no solution exists.
	Iteration #005: testing norm threshold 0.204714 in range [0.188025, 0.221404]...	no solution exists.
	Iteration #006: testing norm threshold 0.213059 in range [0.204714, 0.221404]...	solution exists & found.
	Iteration #007: testing norm threshold 0.208887 in range [0.204714, 0.213059]...	no solution exists.
	Iteration #008: testing norm threshold 0.210973 in range [0.208887, 0.213059]...	solution exists & found.
	Iteration #009: testing norm threshold 0.209930 in range [0.208887, 0.210973]...	solution exists & found.
	Iteration #010: testing norm threshold 0.209408 in range [0.208887, 0.209930]...	solution exists & found.
	Iteration #011: testing norm threshold 0.209148 in range [0.208887, 0.209409]...	no solution exists.
	Iteration #012: testing norm threshold 0.209278 in range [0.209148, 0.209409]...	solution exists & found.
	Iteration #013: testing norm threshold 0.209213 in range [0.209148, 0.209278]...	solution exists & found.
	Iteration #014: testing norm threshold 0.209180 in range [0.209148, 0.209213]...	no solution exists.
	Iteration #015: testing norm threshold 0.209197 in range [0.209180, 0.209213]...	solution exists & found.
	Iteration #016: testing norm threshold 0.209189 in range [0.209180, 0.209197]...	no solution exists.


Factual sample: 		 {x0 : -3.0516054161734547, x1 : -2.806120250508324, y: False}
Nearest counterfactual sample:	 {x0 : 2.0600553417162137, x1 : -2.806120250508324, y: True} (verified)
Minimum counterfactual distance: 0.209197
