

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


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 0.177052 in range [0.000000, 0.354103]...	no solution exists.
	Iteration #003: testing norm threshold 0.265578 in range [0.177052, 0.354103]...	solution exists & found.
	Iteration #004: testing norm threshold 0.197712 in range [0.177052, 0.218372]...	no solution exists.
	Iteration #005: testing norm threshold 0.208042 in range [0.197712, 0.218372]...	solution exists & found.
	Iteration #006: testing norm threshold 0.202877 in range [0.197712, 0.208042]...	no solution exists.
	Iteration #007: testing norm threshold 0.205459 in range [0.202877, 0.208042]...	no solution exists.
	Iteration #008: testing norm threshold 0.206751 in range [0.205459, 0.208042]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206105 in range [0.205459, 0.206751]...	no solution exists.
	Iteration #010: testing norm threshold 0.206428 in range [0.206105, 0.206751]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206266 in range [0.206105, 0.206428]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206186 in range [0.206105, 0.206267]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206145 in range [0.206105, 0.206186]...	no solution exists.
	Iteration #014: testing norm threshold 0.206166 in range [0.206145, 0.206186]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206156 in range [0.206145, 0.206166]...	no solution exists.
	Iteration #016: testing norm threshold 0.206161 in range [0.206156, 0.206166]...	no solution exists.


Factual sample: 		 {x0 : -3.013327680583444, x1 : -2.7595445967531123, y: False}
Nearest counterfactual sample:	 {x0 : 2.0242691195117133, x1 : -2.7595445967531123, y: True} (verified)
Minimum counterfactual distance: 0.206166
