

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


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 0.151292 in range [0.000000, 0.302585]...	no solution exists.
	Iteration #003: testing norm threshold 0.226938 in range [0.151292, 0.302585]...	no solution exists.
	Iteration #004: testing norm threshold 0.264761 in range [0.226938, 0.302585]...	no solution exists.
	Iteration #005: testing norm threshold 0.283673 in range [0.264761, 0.302585]...	no solution exists.
	Iteration #006: testing norm threshold 0.293129 in range [0.283673, 0.302585]...	solution exists & found.
	Iteration #007: testing norm threshold 0.288401 in range [0.283673, 0.293129]...	no solution exists.
	Iteration #008: testing norm threshold 0.290765 in range [0.288401, 0.293129]...	solution exists & found.
	Iteration #009: testing norm threshold 0.289583 in range [0.288401, 0.290765]...	no solution exists.
	Iteration #010: testing norm threshold 0.290174 in range [0.289583, 0.290765]...	no solution exists.
	Iteration #011: testing norm threshold 0.290469 in range [0.290174, 0.290765]...	solution exists & found.
	Iteration #012: testing norm threshold 0.290322 in range [0.290174, 0.290470]...	no solution exists.
	Iteration #013: testing norm threshold 0.290396 in range [0.290322, 0.290470]...	solution exists & found.
	Iteration #014: testing norm threshold 0.290359 in range [0.290322, 0.290396]...	no solution exists.
	Iteration #015: testing norm threshold 0.290377 in range [0.290359, 0.290396]...	solution exists & found.
	Iteration #016: testing norm threshold 0.290368 in range [0.290359, 0.290377]...	no solution exists.


Factual sample: 		 {x0 : -5.207542419581752, x1 : -2.5820309461989317, y: False}
Nearest counterfactual sample:	 {x0 : 1.8877408017969557, x1 : -2.5820309461989317, y: True} (verified)
Minimum counterfactual distance: 0.290377
