

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


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 0.154955 in range [0.000000, 0.309910]...	no solution exists.
	Iteration #003: testing norm threshold 0.232432 in range [0.154955, 0.309910]...	no solution exists.
	Iteration #004: testing norm threshold 0.271171 in range [0.232432, 0.309910]...	no solution exists.
	Iteration #005: testing norm threshold 0.290540 in range [0.271171, 0.309910]...	no solution exists.
	Iteration #006: testing norm threshold 0.300225 in range [0.290540, 0.309910]...	solution exists & found.
	Iteration #007: testing norm threshold 0.295383 in range [0.290540, 0.300225]...	no solution exists.
	Iteration #008: testing norm threshold 0.297804 in range [0.295383, 0.300225]...	solution exists & found.
	Iteration #009: testing norm threshold 0.296593 in range [0.295383, 0.297804]...	solution exists & found.
	Iteration #010: testing norm threshold 0.295988 in range [0.295383, 0.296594]...	no solution exists.
	Iteration #011: testing norm threshold 0.296291 in range [0.295988, 0.296594]...	no solution exists.
	Iteration #012: testing norm threshold 0.296442 in range [0.296291, 0.296594]...	no solution exists.
	Iteration #013: testing norm threshold 0.296518 in range [0.296442, 0.296594]...	no solution exists.
	Iteration #014: testing norm threshold 0.296556 in range [0.296518, 0.296594]...	solution exists & found.
	Iteration #015: testing norm threshold 0.296537 in range [0.296518, 0.296556]...	no solution exists.
	Iteration #016: testing norm threshold 0.296546 in range [0.296537, 0.296556]...	solution exists & found.


Factual sample: 		 {x0 : -2.8765170924176373, x1 : -4.522780458624372, y: False}
Nearest counterfactual sample:	 {x0 : 4.711844948428427, x1 : -4.522858454322644, y: True} (verified)
Minimum counterfactual distance: 0.296546
