

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


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 0.118848 in range [0.000000, 0.237695]...	no solution exists.
	Iteration #003: testing norm threshold 0.178271 in range [0.118848, 0.237695]...	no solution exists.
	Iteration #004: testing norm threshold 0.207983 in range [0.178271, 0.237695]...	no solution exists.
	Iteration #005: testing norm threshold 0.222839 in range [0.207983, 0.237695]...	no solution exists.
	Iteration #006: testing norm threshold 0.230267 in range [0.222839, 0.237695]...	solution exists & found.
	Iteration #007: testing norm threshold 0.226553 in range [0.222839, 0.230267]...	solution exists & found.
	Iteration #008: testing norm threshold 0.224696 in range [0.222839, 0.226553]...	no solution exists.
	Iteration #009: testing norm threshold 0.225625 in range [0.224696, 0.226553]...	solution exists & found.
	Iteration #010: testing norm threshold 0.225161 in range [0.224696, 0.225625]...	no solution exists.
	Iteration #011: testing norm threshold 0.225393 in range [0.225161, 0.225625]...	no solution exists.
	Iteration #012: testing norm threshold 0.225509 in range [0.225393, 0.225625]...	solution exists & found.
	Iteration #013: testing norm threshold 0.225451 in range [0.225393, 0.225509]...	no solution exists.
	Iteration #014: testing norm threshold 0.225480 in range [0.225451, 0.225509]...	no solution exists.
	Iteration #015: testing norm threshold 0.225494 in range [0.225480, 0.225509]...	solution exists & found.
	Iteration #016: testing norm threshold 0.225487 in range [0.225480, 0.225495]...	solution exists & found.


Factual sample: 		 {x0 : -2.743553241608724, x1 : -3.724404709747621, y: False}
Nearest counterfactual sample:	 {x0 : 2.766107469480453, x1 : -3.7243557140280203, y: True} (verified)
Minimum counterfactual distance: 0.225487
