

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


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 0.134559 in range [0.000000, 0.269119]...	no solution exists.
	Iteration #003: testing norm threshold 0.201839 in range [0.134559, 0.269119]...	solution exists & found.
	Iteration #004: testing norm threshold 0.168199 in range [0.134559, 0.201839]...	no solution exists.
	Iteration #005: testing norm threshold 0.185019 in range [0.168199, 0.201839]...	solution exists & found.
	Iteration #006: testing norm threshold 0.176609 in range [0.168199, 0.185019]...	no solution exists.
	Iteration #007: testing norm threshold 0.180814 in range [0.176609, 0.185019]...	solution exists & found.
	Iteration #008: testing norm threshold 0.178712 in range [0.176609, 0.180814]...	no solution exists.
	Iteration #009: testing norm threshold 0.179763 in range [0.178712, 0.180814]...	no solution exists.
	Iteration #010: testing norm threshold 0.180289 in range [0.179763, 0.180814]...	no solution exists.
	Iteration #011: testing norm threshold 0.180552 in range [0.180289, 0.180814]...	solution exists & found.
	Iteration #012: testing norm threshold 0.180420 in range [0.180289, 0.180552]...	no solution exists.
	Iteration #013: testing norm threshold 0.180486 in range [0.180420, 0.180552]...	solution exists & found.
	Iteration #014: testing norm threshold 0.180453 in range [0.180420, 0.180486]...	solution exists & found.
	Iteration #015: testing norm threshold 0.180437 in range [0.180420, 0.180453]...	no solution exists.
	Iteration #016: testing norm threshold 0.180445 in range [0.180437, 0.180453]...	solution exists & found.


Factual sample: 		 {x0 : -3.719100563731869, x1 : -1.0242708436659005, y: False}
Nearest counterfactual sample:	 {x0 : 0.6900203056780971, x1 : -1.0242708436659005, y: True} (verified)
Minimum counterfactual distance: 0.180445
