

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


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 0.152137 in range [0.000000, 0.304274]...	no solution exists.
	Iteration #003: testing norm threshold 0.228206 in range [0.152137, 0.304274]...	no solution exists.
	Iteration #004: testing norm threshold 0.266240 in range [0.228206, 0.304274]...	no solution exists.
	Iteration #005: testing norm threshold 0.285257 in range [0.266240, 0.304274]...	solution exists & found.
	Iteration #006: testing norm threshold 0.275749 in range [0.266240, 0.285257]...	solution exists & found.
	Iteration #007: testing norm threshold 0.270994 in range [0.266240, 0.275749]...	no solution exists.
	Iteration #008: testing norm threshold 0.273371 in range [0.270994, 0.275749]...	solution exists & found.
	Iteration #009: testing norm threshold 0.272183 in range [0.270994, 0.273372]...	no solution exists.
	Iteration #010: testing norm threshold 0.272777 in range [0.272183, 0.273372]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272480 in range [0.272183, 0.272777]...	no solution exists.
	Iteration #012: testing norm threshold 0.272629 in range [0.272480, 0.272777]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272555 in range [0.272480, 0.272629]...	no solution exists.
	Iteration #014: testing norm threshold 0.272592 in range [0.272555, 0.272629]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272573 in range [0.272555, 0.272592]...	no solution exists.
	Iteration #016: testing norm threshold 0.272582 in range [0.272573, 0.272592]...	solution exists & found.


Factual sample: 		 {x0 : -2.930754803998382, x1 : -3.867377125136831, y: False}
Nearest counterfactual sample:	 {x0 : 4.044473417919181, x1 : -3.867377125136831, y: True} (verified)
Minimum counterfactual distance: 0.272582
