

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


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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.158259 in range [0.000000, 0.316518]...	no solution exists.
	Iteration #003: testing norm threshold 0.237389 in range [0.158259, 0.316518]...	no solution exists.
	Iteration #004: testing norm threshold 0.276954 in range [0.237389, 0.316518]...	solution exists & found.
	Iteration #005: testing norm threshold 0.257171 in range [0.237389, 0.276954]...	no solution exists.
	Iteration #006: testing norm threshold 0.267062 in range [0.257171, 0.276954]...	no solution exists.
	Iteration #007: testing norm threshold 0.272008 in range [0.267062, 0.276954]...	no solution exists.
	Iteration #008: testing norm threshold 0.274481 in range [0.272008, 0.276954]...	solution exists & found.
	Iteration #009: testing norm threshold 0.273244 in range [0.272008, 0.274481]...	solution exists & found.
	Iteration #010: testing norm threshold 0.272626 in range [0.272008, 0.273245]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272317 in range [0.272008, 0.272626]...	no solution exists.
	Iteration #012: testing norm threshold 0.272472 in range [0.272317, 0.272626]...	no solution exists.
	Iteration #013: testing norm threshold 0.272549 in range [0.272472, 0.272626]...	no solution exists.
	Iteration #014: testing norm threshold 0.272588 in range [0.272549, 0.272626]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272568 in range [0.272549, 0.272588]...	no solution exists.
	Iteration #016: testing norm threshold 0.272578 in range [0.272568, 0.272588]...	solution exists & found.


Factual sample: 		 {x0 : -2.930754803998382, x1 : -3.867377125136831, y: False}
Nearest counterfactual sample:	 {x0 : 4.044363431582952, x1 : -3.867377125136831, y: True} (verified)
Minimum counterfactual distance: 0.272578
