

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


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 0.175550 in range [0.000000, 0.351100]...	no solution exists.
	Iteration #003: testing norm threshold 0.263325 in range [0.175550, 0.351100]...	solution exists & found.
	Iteration #004: testing norm threshold 0.219437 in range [0.175550, 0.263325]...	no solution exists.
	Iteration #005: testing norm threshold 0.241381 in range [0.219437, 0.263325]...	solution exists & found.
	Iteration #006: testing norm threshold 0.230409 in range [0.219437, 0.241381]...	no solution exists.
	Iteration #007: testing norm threshold 0.235895 in range [0.230409, 0.241381]...	no solution exists.
	Iteration #008: testing norm threshold 0.238638 in range [0.235895, 0.241381]...	no solution exists.
	Iteration #009: testing norm threshold 0.240010 in range [0.238638, 0.241381]...	solution exists & found.
	Iteration #010: testing norm threshold 0.239324 in range [0.238638, 0.240010]...	solution exists & found.
	Iteration #011: testing norm threshold 0.238981 in range [0.238638, 0.239324]...	no solution exists.
	Iteration #012: testing norm threshold 0.239153 in range [0.238981, 0.239324]...	solution exists & found.
	Iteration #013: testing norm threshold 0.239067 in range [0.238981, 0.239153]...	no solution exists.
	Iteration #014: testing norm threshold 0.239110 in range [0.239067, 0.239153]...	no solution exists.
	Iteration #015: testing norm threshold 0.239131 in range [0.239110, 0.239153]...	solution exists & found.
	Iteration #016: testing norm threshold 0.239121 in range [0.239110, 0.239132]...	no solution exists.
	Iteration #017: testing norm threshold 0.239126 in range [0.239121, 0.239132]...	solution exists & found.


Factual sample: 		 {x0 : -3.641632234632204, x1 : -2.9898335005312884, y: False}
Nearest counterfactual sample:	 {x0 : 2.201344799668776, x1 : -2.9898335005312884, y: True} (verified)
Minimum counterfactual distance: 0.239126
