

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


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 0.184822 in range [0.000000, 0.369643]...	no solution exists.
	Iteration #003: testing norm threshold 0.277233 in range [0.184822, 0.369643]...	solution exists & found.
	Iteration #004: testing norm threshold 0.231027 in range [0.184822, 0.277233]...	solution exists & found.
	Iteration #005: testing norm threshold 0.207924 in range [0.184822, 0.231027]...	no solution exists.
	Iteration #006: testing norm threshold 0.219476 in range [0.207924, 0.231027]...	no solution exists.
	Iteration #007: testing norm threshold 0.225252 in range [0.219476, 0.231027]...	no solution exists.
	Iteration #008: testing norm threshold 0.228139 in range [0.225252, 0.231027]...	no solution exists.
	Iteration #009: testing norm threshold 0.229583 in range [0.228139, 0.231027]...	no solution exists.
	Iteration #010: testing norm threshold 0.230305 in range [0.229583, 0.231027]...	solution exists & found.
	Iteration #011: testing norm threshold 0.229944 in range [0.229583, 0.230305]...	no solution exists.
	Iteration #012: testing norm threshold 0.230125 in range [0.229944, 0.230305]...	solution exists & found.
	Iteration #013: testing norm threshold 0.230035 in range [0.229944, 0.230125]...	solution exists & found.
	Iteration #014: testing norm threshold 0.229990 in range [0.229944, 0.230035]...	no solution exists.
	Iteration #015: testing norm threshold 0.230012 in range [0.229990, 0.230035]...	solution exists & found.
	Iteration #016: testing norm threshold 0.230001 in range [0.229990, 0.230012]...	solution exists & found.
	Iteration #017: testing norm threshold 0.229995 in range [0.229990, 0.230001]...	solution exists & found.


Factual sample: 		 {x0 : -2.828091097325296, x1 : -3.604913834151832, y: False}
Nearest counterfactual sample:	 {x0 : 2.791776562826034, x1 : -3.604913834151832, y: True} (verified)
Minimum counterfactual distance: 0.229995
