

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.153757 in range [0.000000, 0.307515]...	no solution exists.
	Iteration #003: testing norm threshold 0.230636 in range [0.153757, 0.307515]...	no solution exists.
	Iteration #004: testing norm threshold 0.269075 in range [0.230636, 0.307515]...	solution exists & found.
	Iteration #005: testing norm threshold 0.248115 in range [0.230636, 0.265594]...	no solution exists.
	Iteration #006: testing norm threshold 0.256854 in range [0.248115, 0.265594]...	solution exists & found.
	Iteration #007: testing norm threshold 0.252485 in range [0.248115, 0.256854]...	solution exists & found.
	Iteration #008: testing norm threshold 0.250300 in range [0.248115, 0.252485]...	no solution exists.
	Iteration #009: testing norm threshold 0.251392 in range [0.250300, 0.252485]...	no solution exists.
	Iteration #010: testing norm threshold 0.251939 in range [0.251392, 0.252485]...	no solution exists.
	Iteration #011: testing norm threshold 0.252212 in range [0.251939, 0.252485]...	no solution exists.
	Iteration #012: testing norm threshold 0.252348 in range [0.252212, 0.252485]...	solution exists & found.
	Iteration #013: testing norm threshold 0.252280 in range [0.252212, 0.252348]...	solution exists & found.
	Iteration #014: testing norm threshold 0.252246 in range [0.252212, 0.252280]...	solution exists & found.
	Iteration #015: testing norm threshold 0.252229 in range [0.252212, 0.252246]...	solution exists & found.
	Iteration #016: testing norm threshold 0.252220 in range [0.252212, 0.252229]...	no solution exists.


Factual sample: 		 {x0 : -3.549099845328077, x1 : -2.7486455724001244, y: False}
Nearest counterfactual sample:	 {x0 : 2.9052189428248156, x1 : -2.7487097761746564, y: True} (verified)
Minimum counterfactual distance: 0.252229
