

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


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 0.163234 in range [0.000000, 0.326468]...	no solution exists.
	Iteration #003: testing norm threshold 0.244851 in range [0.163234, 0.326468]...	solution exists & found.
	Iteration #004: testing norm threshold 0.204042 in range [0.163234, 0.244851]...	solution exists & found.
	Iteration #005: testing norm threshold 0.183638 in range [0.163234, 0.204042]...	no solution exists.
	Iteration #006: testing norm threshold 0.193840 in range [0.183638, 0.204042]...	solution exists & found.
	Iteration #007: testing norm threshold 0.188739 in range [0.183638, 0.193840]...	solution exists & found.
	Iteration #008: testing norm threshold 0.186189 in range [0.183638, 0.188739]...	no solution exists.
	Iteration #009: testing norm threshold 0.187464 in range [0.186189, 0.188739]...	solution exists & found.
	Iteration #010: testing norm threshold 0.186826 in range [0.186189, 0.187464]...	solution exists & found.
	Iteration #011: testing norm threshold 0.186508 in range [0.186189, 0.186827]...	solution exists & found.
	Iteration #012: testing norm threshold 0.186348 in range [0.186189, 0.186508]...	no solution exists.
	Iteration #013: testing norm threshold 0.186428 in range [0.186348, 0.186508]...	solution exists & found.
	Iteration #014: testing norm threshold 0.186388 in range [0.186348, 0.186428]...	solution exists & found.
	Iteration #015: testing norm threshold 0.186368 in range [0.186348, 0.186388]...	no solution exists.
	Iteration #016: testing norm threshold 0.186378 in range [0.186368, 0.186388]...	no solution exists.
	Iteration #017: testing norm threshold 0.186383 in range [0.186378, 0.186388]...	solution exists & found.


Factual sample: 		 {x0 : -3.171951415931164, x1 : -1.9246347352764988, y: False}
Nearest counterfactual sample:	 {x0 : 1.38226962142387, x1 : -1.9246347352764988, y: True} (verified)
Minimum counterfactual distance: 0.186383
