

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


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 0.158140 in range [0.000000, 0.316280]...	no solution exists.
	Iteration #003: testing norm threshold 0.237210 in range [0.158140, 0.316280]...	no solution exists.
	Iteration #004: testing norm threshold 0.276745 in range [0.237210, 0.316280]...	no solution exists.
	Iteration #005: testing norm threshold 0.296512 in range [0.276745, 0.316280]...	no solution exists.
	Iteration #006: testing norm threshold 0.306396 in range [0.296512, 0.316280]...	solution exists & found.
	Iteration #007: testing norm threshold 0.301454 in range [0.296512, 0.306396]...	no solution exists.
	Iteration #008: testing norm threshold 0.303925 in range [0.301454, 0.306396]...	solution exists & found.
	Iteration #009: testing norm threshold 0.302690 in range [0.301454, 0.303925]...	no solution exists.
	Iteration #010: testing norm threshold 0.303307 in range [0.302690, 0.303925]...	solution exists & found.
	Iteration #011: testing norm threshold 0.302998 in range [0.302690, 0.303307]...	solution exists & found.
	Iteration #012: testing norm threshold 0.302844 in range [0.302690, 0.302999]...	no solution exists.
	Iteration #013: testing norm threshold 0.302921 in range [0.302844, 0.302999]...	solution exists & found.
	Iteration #014: testing norm threshold 0.302883 in range [0.302844, 0.302921]...	no solution exists.
	Iteration #015: testing norm threshold 0.302902 in range [0.302883, 0.302921]...	no solution exists.
	Iteration #016: testing norm threshold 0.302912 in range [0.302902, 0.302921]...	solution exists & found.


Factual sample: 		 {x0 : -3.985857931461009, x1 : -3.5934455869672237, y: False}
Nearest counterfactual sample:	 {x0 : 3.7649158172607073, x1 : -3.5929462404927395, y: True} (verified)
Minimum counterfactual distance: 0.302912
