

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


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 0.179170 in range [0.000000, 0.358339]...	no solution exists.
	Iteration #003: testing norm threshold 0.268754 in range [0.179170, 0.358339]...	solution exists & found.
	Iteration #004: testing norm threshold 0.219145 in range [0.179170, 0.259120]...	solution exists & found.
	Iteration #005: testing norm threshold 0.199157 in range [0.179170, 0.219145]...	no solution exists.
	Iteration #006: testing norm threshold 0.209151 in range [0.199157, 0.219145]...	no solution exists.
	Iteration #007: testing norm threshold 0.214148 in range [0.209151, 0.219145]...	solution exists & found.
	Iteration #008: testing norm threshold 0.211650 in range [0.209151, 0.214148]...	solution exists & found.
	Iteration #009: testing norm threshold 0.210400 in range [0.209151, 0.211650]...	solution exists & found.
	Iteration #010: testing norm threshold 0.209776 in range [0.209151, 0.210400]...	solution exists & found.
	Iteration #011: testing norm threshold 0.209463 in range [0.209151, 0.209776]...	solution exists & found.
	Iteration #012: testing norm threshold 0.209307 in range [0.209151, 0.209464]...	solution exists & found.
	Iteration #013: testing norm threshold 0.209229 in range [0.209151, 0.209307]...	solution exists & found.
	Iteration #014: testing norm threshold 0.209190 in range [0.209151, 0.209229]...	no solution exists.
	Iteration #015: testing norm threshold 0.209210 in range [0.209190, 0.209229]...	solution exists & found.
	Iteration #016: testing norm threshold 0.209200 in range [0.209190, 0.209210]...	solution exists & found.


Factual sample: 		 {x0 : -3.0516054161734547, x1 : -2.806120250508324, y: False}
Nearest counterfactual sample:	 {x0 : 2.0599117018903215, x1 : -2.805911351408283, y: True} (verified)
Minimum counterfactual distance: 0.209200
