

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


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 0.134400 in range [0.000000, 0.268800]...	no solution exists.
	Iteration #003: testing norm threshold 0.201600 in range [0.134400, 0.268800]...	no solution exists.
	Iteration #004: testing norm threshold 0.235200 in range [0.201600, 0.268800]...	solution exists & found.
	Iteration #005: testing norm threshold 0.218400 in range [0.201600, 0.235200]...	no solution exists.
	Iteration #006: testing norm threshold 0.226800 in range [0.218400, 0.235200]...	solution exists & found.
	Iteration #007: testing norm threshold 0.222600 in range [0.218400, 0.226800]...	solution exists & found.
	Iteration #008: testing norm threshold 0.220500 in range [0.218400, 0.222600]...	solution exists & found.
	Iteration #009: testing norm threshold 0.219450 in range [0.218400, 0.220500]...	solution exists & found.
	Iteration #010: testing norm threshold 0.218925 in range [0.218400, 0.219450]...	solution exists & found.
	Iteration #011: testing norm threshold 0.218663 in range [0.218400, 0.218925]...	no solution exists.
	Iteration #012: testing norm threshold 0.218794 in range [0.218663, 0.218925]...	no solution exists.
	Iteration #013: testing norm threshold 0.218860 in range [0.218794, 0.218925]...	no solution exists.
	Iteration #014: testing norm threshold 0.218892 in range [0.218860, 0.218925]...	solution exists & found.
	Iteration #015: testing norm threshold 0.218876 in range [0.218860, 0.218892]...	solution exists & found.
	Iteration #016: testing norm threshold 0.218868 in range [0.218860, 0.218876]...	no solution exists.


Factual sample: 		 {x0 : -3.108038394421656, x1 : -3.040325274071596, y: False}
Nearest counterfactual sample:	 {x0 : 2.2401313751866176, x1 : -3.040325274071596, y: True} (verified)
Minimum counterfactual distance: 0.218876
