

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


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 0.122389 in range [0.000000, 0.244778]...	no solution exists.
	Iteration #003: testing norm threshold 0.183583 in range [0.122389, 0.244778]...	solution exists & found.
	Iteration #004: testing norm threshold 0.152986 in range [0.122389, 0.183583]...	no solution exists.
	Iteration #005: testing norm threshold 0.168285 in range [0.152986, 0.183583]...	no solution exists.
	Iteration #006: testing norm threshold 0.175934 in range [0.168285, 0.183583]...	solution exists & found.
	Iteration #007: testing norm threshold 0.172109 in range [0.168285, 0.175934]...	solution exists & found.
	Iteration #008: testing norm threshold 0.170197 in range [0.168285, 0.172109]...	no solution exists.
	Iteration #009: testing norm threshold 0.171153 in range [0.170197, 0.172109]...	solution exists & found.
	Iteration #010: testing norm threshold 0.170675 in range [0.170197, 0.171153]...	solution exists & found.
	Iteration #011: testing norm threshold 0.170436 in range [0.170197, 0.170675]...	no solution exists.
	Iteration #012: testing norm threshold 0.170556 in range [0.170436, 0.170675]...	no solution exists.
	Iteration #013: testing norm threshold 0.170616 in range [0.170556, 0.170675]...	solution exists & found.
	Iteration #014: testing norm threshold 0.170586 in range [0.170556, 0.170616]...	solution exists & found.
	Iteration #015: testing norm threshold 0.170571 in range [0.170556, 0.170586]...	no solution exists.
	Iteration #016: testing norm threshold 0.170578 in range [0.170571, 0.170586]...	solution exists & found.


Factual sample: 		 {x0 : -1.4057621084978609, x1 : -2.801664263611578, y: False}
Nearest counterfactual sample:	 {x0 : 2.9592369279764155, x1 : -2.801664263611578, y: True} (verified)
Minimum counterfactual distance: 0.170578
