

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


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 0.138248 in range [0.000000, 0.276496]...	no solution exists.
	Iteration #003: testing norm threshold 0.207372 in range [0.138248, 0.276496]...	no solution exists.
	Iteration #004: testing norm threshold 0.241934 in range [0.207372, 0.276496]...	no solution exists.
	Iteration #005: testing norm threshold 0.259215 in range [0.241934, 0.276496]...	no solution exists.
	Iteration #006: testing norm threshold 0.267856 in range [0.259215, 0.276496]...	solution exists & found.
	Iteration #007: testing norm threshold 0.263536 in range [0.259215, 0.267856]...	no solution exists.
	Iteration #008: testing norm threshold 0.265696 in range [0.263536, 0.267856]...	solution exists & found.
	Iteration #009: testing norm threshold 0.264616 in range [0.263536, 0.265696]...	solution exists & found.
	Iteration #010: testing norm threshold 0.264076 in range [0.263536, 0.264616]...	no solution exists.
	Iteration #011: testing norm threshold 0.264346 in range [0.264076, 0.264616]...	solution exists & found.
	Iteration #012: testing norm threshold 0.264211 in range [0.264076, 0.264346]...	no solution exists.
	Iteration #013: testing norm threshold 0.264278 in range [0.264211, 0.264346]...	no solution exists.
	Iteration #014: testing norm threshold 0.264312 in range [0.264278, 0.264346]...	solution exists & found.
	Iteration #015: testing norm threshold 0.264295 in range [0.264278, 0.264312]...	solution exists & found.
	Iteration #016: testing norm threshold 0.264287 in range [0.264278, 0.264295]...	no solution exists.


Factual sample: 		 {x0 : -4.056433469183927, x1 : -3.250019045666299, y: False}
Nearest counterfactual sample:	 {x0 : 2.401546406349398, x1 : -3.250019045666299, y: True} (verified)
Minimum counterfactual distance: 0.264295
