

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


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 0.144043 in range [0.000000, 0.288085]...	no solution exists.
	Iteration #003: testing norm threshold 0.216064 in range [0.144043, 0.288085]...	solution exists & found.
	Iteration #004: testing norm threshold 0.180053 in range [0.144043, 0.216064]...	solution exists & found.
	Iteration #005: testing norm threshold 0.162048 in range [0.144043, 0.180054]...	no solution exists.
	Iteration #006: testing norm threshold 0.171051 in range [0.162048, 0.180054]...	solution exists & found.
	Iteration #007: testing norm threshold 0.166550 in range [0.162048, 0.171051]...	no solution exists.
	Iteration #008: testing norm threshold 0.168800 in range [0.166550, 0.171051]...	solution exists & found.
	Iteration #009: testing norm threshold 0.167675 in range [0.166550, 0.168800]...	no solution exists.
	Iteration #010: testing norm threshold 0.168238 in range [0.167675, 0.168800]...	no solution exists.
	Iteration #011: testing norm threshold 0.168519 in range [0.168238, 0.168800]...	no solution exists.
	Iteration #012: testing norm threshold 0.168660 in range [0.168519, 0.168800]...	solution exists & found.
	Iteration #013: testing norm threshold 0.168589 in range [0.168519, 0.168660]...	no solution exists.
	Iteration #014: testing norm threshold 0.168625 in range [0.168589, 0.168660]...	solution exists & found.
	Iteration #015: testing norm threshold 0.168607 in range [0.168589, 0.168625]...	solution exists & found.
	Iteration #016: testing norm threshold 0.168598 in range [0.168589, 0.168607]...	solution exists & found.


Factual sample: 		 {x0 : -1.7156030703254446, x1 : -3.1254273356101234, y: False}
Nearest counterfactual sample:	 {x0 : 2.404033854505638, x1 : -3.1254381958427135, y: True} (verified)
Minimum counterfactual distance: 0.168598
