

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


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 0.181906 in range [0.000000, 0.363812]...	no solution exists.
	Iteration #003: testing norm threshold 0.272859 in range [0.181906, 0.363812]...	solution exists & found.
	Iteration #004: testing norm threshold 0.221169 in range [0.181906, 0.260432]...	no solution exists.
	Iteration #005: testing norm threshold 0.240801 in range [0.221169, 0.260432]...	no solution exists.
	Iteration #006: testing norm threshold 0.250616 in range [0.240801, 0.260432]...	solution exists & found.
	Iteration #007: testing norm threshold 0.245708 in range [0.240801, 0.250616]...	no solution exists.
	Iteration #008: testing norm threshold 0.248162 in range [0.245708, 0.250616]...	no solution exists.
	Iteration #009: testing norm threshold 0.249389 in range [0.248162, 0.250616]...	solution exists & found.
	Iteration #010: testing norm threshold 0.248776 in range [0.248162, 0.249390]...	solution exists & found.
	Iteration #011: testing norm threshold 0.248469 in range [0.248162, 0.248776]...	solution exists & found.
	Iteration #012: testing norm threshold 0.248316 in range [0.248162, 0.248469]...	solution exists & found.
	Iteration #013: testing norm threshold 0.248239 in range [0.248162, 0.248316]...	solution exists & found.
	Iteration #014: testing norm threshold 0.248201 in range [0.248162, 0.248239]...	no solution exists.
	Iteration #015: testing norm threshold 0.248220 in range [0.248201, 0.248239]...	no solution exists.
	Iteration #016: testing norm threshold 0.248230 in range [0.248220, 0.248239]...	solution exists & found.


Factual sample: 		 {x0 : -3.601296029920656, x1 : -3.3314408891191047, y: False}
Nearest counterfactual sample:	 {x0 : 2.464050627968642, x1 : -3.331508896033189, y: True} (verified)
Minimum counterfactual distance: 0.248230
