

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


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 0.100687 in range [0.000000, 0.201375]...	no solution exists.
	Iteration #003: testing norm threshold 0.151031 in range [0.100687, 0.201375]...	solution exists & found.
	Iteration #004: testing norm threshold 0.125859 in range [0.100687, 0.151031]...	no solution exists.
	Iteration #005: testing norm threshold 0.138445 in range [0.125859, 0.151031]...	no solution exists.
	Iteration #006: testing norm threshold 0.144738 in range [0.138445, 0.151031]...	no solution exists.
	Iteration #007: testing norm threshold 0.147885 in range [0.144738, 0.151031]...	solution exists & found.
	Iteration #008: testing norm threshold 0.146311 in range [0.144738, 0.147885]...	solution exists & found.
	Iteration #009: testing norm threshold 0.145525 in range [0.144738, 0.146312]...	no solution exists.
	Iteration #010: testing norm threshold 0.145918 in range [0.145525, 0.146312]...	no solution exists.
	Iteration #011: testing norm threshold 0.146115 in range [0.145918, 0.146312]...	solution exists & found.
	Iteration #012: testing norm threshold 0.146017 in range [0.145918, 0.146115]...	no solution exists.
	Iteration #013: testing norm threshold 0.146066 in range [0.146017, 0.146115]...	no solution exists.
	Iteration #014: testing norm threshold 0.146090 in range [0.146066, 0.146115]...	solution exists & found.
	Iteration #015: testing norm threshold 0.146078 in range [0.146066, 0.146090]...	no solution exists.
	Iteration #016: testing norm threshold 0.146084 in range [0.146078, 0.146090]...	solution exists & found.


Factual sample: 		 {x0 : -1.1563960158551012, x1 : -2.431096663163239, y: False}
Nearest counterfactual sample:	 {x0 : 2.5817896441161277, x1 : -2.431120300367301, y: True} (verified)
Minimum counterfactual distance: 0.146084
