

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.106571 in range [0.000000, 0.213142]...	no solution exists.
	Iteration #003: testing norm threshold 0.159856 in range [0.106571, 0.213142]...	no solution exists.
	Iteration #004: testing norm threshold 0.186499 in range [0.159856, 0.213142]...	no solution exists.
	Iteration #005: testing norm threshold 0.199820 in range [0.186499, 0.213142]...	no solution exists.
	Iteration #006: testing norm threshold 0.206481 in range [0.199820, 0.213142]...	solution exists & found.
	Iteration #007: testing norm threshold 0.203151 in range [0.199820, 0.206481]...	solution exists & found.
	Iteration #008: testing norm threshold 0.201486 in range [0.199820, 0.203151]...	solution exists & found.
	Iteration #009: testing norm threshold 0.200653 in range [0.199820, 0.201486]...	no solution exists.
	Iteration #010: testing norm threshold 0.201069 in range [0.200653, 0.201486]...	solution exists & found.
	Iteration #011: testing norm threshold 0.200861 in range [0.200653, 0.201069]...	no solution exists.
	Iteration #012: testing norm threshold 0.200965 in range [0.200861, 0.201069]...	solution exists & found.
	Iteration #013: testing norm threshold 0.200913 in range [0.200861, 0.200965]...	no solution exists.
	Iteration #014: testing norm threshold 0.200939 in range [0.200913, 0.200965]...	solution exists & found.
	Iteration #015: testing norm threshold 0.200926 in range [0.200913, 0.200940]...	no solution exists.
	Iteration #016: testing norm threshold 0.200933 in range [0.200926, 0.200940]...	solution exists & found.


Factual sample: 		 {x0 : -3.5756653676961485, x1 : -1.8620543328643568, y: False}
Nearest counterfactual sample:	 {x0 : 1.3340680363415547, x1 : -1.8620586715848129, y: True} (verified)
Minimum counterfactual distance: 0.200933
