

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


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 0.143854 in range [0.000000, 0.287707]...	no solution exists.
	Iteration #003: testing norm threshold 0.215780 in range [0.143854, 0.287707]...	no solution exists.
	Iteration #004: testing norm threshold 0.251744 in range [0.215780, 0.287707]...	solution exists & found.
	Iteration #005: testing norm threshold 0.233762 in range [0.215780, 0.251744]...	no solution exists.
	Iteration #006: testing norm threshold 0.242753 in range [0.233762, 0.251744]...	no solution exists.
	Iteration #007: testing norm threshold 0.247248 in range [0.242753, 0.251744]...	solution exists & found.
	Iteration #008: testing norm threshold 0.245001 in range [0.242753, 0.247249]...	no solution exists.
	Iteration #009: testing norm threshold 0.246125 in range [0.245001, 0.247249]...	no solution exists.
	Iteration #010: testing norm threshold 0.246687 in range [0.246125, 0.247249]...	solution exists & found.
	Iteration #011: testing norm threshold 0.246406 in range [0.246125, 0.246687]...	no solution exists.
	Iteration #012: testing norm threshold 0.246546 in range [0.246406, 0.246687]...	no solution exists.
	Iteration #013: testing norm threshold 0.246616 in range [0.246546, 0.246687]...	solution exists & found.
	Iteration #014: testing norm threshold 0.246581 in range [0.246546, 0.246617]...	solution exists & found.
	Iteration #015: testing norm threshold 0.246564 in range [0.246546, 0.246581]...	solution exists & found.
	Iteration #016: testing norm threshold 0.246555 in range [0.246546, 0.246564]...	solution exists & found.


Factual sample: 		 {x0 : -2.680804693217893, x1 : -3.458750109341409, y: False}
Nearest counterfactual sample:	 {x0 : 3.6283220520426274, x1 : -3.4588162347043743, y: True} (verified)
Minimum counterfactual distance: 0.246555
