

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


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 0.152528 in range [0.000000, 0.305055]...	no solution exists.
	Iteration #003: testing norm threshold 0.228791 in range [0.152528, 0.305055]...	solution exists & found.
	Iteration #004: testing norm threshold 0.190660 in range [0.152528, 0.228791]...	no solution exists.
	Iteration #005: testing norm threshold 0.209726 in range [0.190660, 0.228791]...	solution exists & found.
	Iteration #006: testing norm threshold 0.200193 in range [0.190660, 0.209726]...	no solution exists.
	Iteration #007: testing norm threshold 0.204959 in range [0.200193, 0.209726]...	no solution exists.
	Iteration #008: testing norm threshold 0.207342 in range [0.204959, 0.209726]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206151 in range [0.204959, 0.207342]...	no solution exists.
	Iteration #010: testing norm threshold 0.206747 in range [0.206151, 0.207342]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206449 in range [0.206151, 0.206747]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206300 in range [0.206151, 0.206449]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206225 in range [0.206151, 0.206300]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206188 in range [0.206151, 0.206225]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206170 in range [0.206151, 0.206188]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206160 in range [0.206151, 0.206170]...	no solution exists.


Factual sample: 		 {x0 : -3.013327680583444, x1 : -2.7595445967531123, y: False}
Nearest counterfactual sample:	 {x0 : 2.0243633817203817, x1 : -2.7595445967531123, y: True} (verified)
Minimum counterfactual distance: 0.206170
