

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


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 0.132214 in range [0.000000, 0.264427]...	no solution exists.
	Iteration #003: testing norm threshold 0.198320 in range [0.132214, 0.264427]...	solution exists & found.
	Iteration #004: testing norm threshold 0.160751 in range [0.132214, 0.189288]...	no solution exists.
	Iteration #005: testing norm threshold 0.175020 in range [0.160751, 0.189288]...	no solution exists.
	Iteration #006: testing norm threshold 0.182154 in range [0.175020, 0.189288]...	solution exists & found.
	Iteration #007: testing norm threshold 0.178587 in range [0.175020, 0.182154]...	solution exists & found.
	Iteration #008: testing norm threshold 0.176803 in range [0.175020, 0.178587]...	no solution exists.
	Iteration #009: testing norm threshold 0.177695 in range [0.176803, 0.178587]...	solution exists & found.
	Iteration #010: testing norm threshold 0.177249 in range [0.176803, 0.177695]...	solution exists & found.
	Iteration #011: testing norm threshold 0.177026 in range [0.176803, 0.177249]...	no solution exists.
	Iteration #012: testing norm threshold 0.177138 in range [0.177026, 0.177249]...	solution exists & found.
	Iteration #013: testing norm threshold 0.177082 in range [0.177026, 0.177138]...	solution exists & found.
	Iteration #014: testing norm threshold 0.177054 in range [0.177026, 0.177082]...	no solution exists.
	Iteration #015: testing norm threshold 0.177068 in range [0.177054, 0.177082]...	no solution exists.
	Iteration #016: testing norm threshold 0.177075 in range [0.177068, 0.177082]...	no solution exists.


Factual sample: 		 {x0 : -2.92955941320506, x1 : -1.9443171517936029, y: False}
Nearest counterfactual sample:	 {x0 : 1.3973594218000602, x1 : -1.9443469613816808, y: True} (verified)
Minimum counterfactual distance: 0.177082
