

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


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 0.120151 in range [0.000000, 0.240303]...	no solution exists.
	Iteration #003: testing norm threshold 0.180227 in range [0.120151, 0.240303]...	no solution exists.
	Iteration #004: testing norm threshold 0.210265 in range [0.180227, 0.240303]...	solution exists & found.
	Iteration #005: testing norm threshold 0.195246 in range [0.180227, 0.210265]...	no solution exists.
	Iteration #006: testing norm threshold 0.202756 in range [0.195246, 0.210265]...	no solution exists.
	Iteration #007: testing norm threshold 0.206510 in range [0.202756, 0.210265]...	solution exists & found.
	Iteration #008: testing norm threshold 0.204633 in range [0.202756, 0.206510]...	solution exists & found.
	Iteration #009: testing norm threshold 0.203694 in range [0.202756, 0.204633]...	no solution exists.
	Iteration #010: testing norm threshold 0.204164 in range [0.203694, 0.204633]...	solution exists & found.
	Iteration #011: testing norm threshold 0.203929 in range [0.203694, 0.204164]...	solution exists & found.
	Iteration #012: testing norm threshold 0.203812 in range [0.203694, 0.203929]...	solution exists & found.
	Iteration #013: testing norm threshold 0.203753 in range [0.203694, 0.203812]...	solution exists & found.
	Iteration #014: testing norm threshold 0.203724 in range [0.203694, 0.203753]...	solution exists & found.
	Iteration #015: testing norm threshold 0.203709 in range [0.203694, 0.203724]...	no solution exists.
	Iteration #016: testing norm threshold 0.203716 in range [0.203709, 0.203724]...	no solution exists.


Factual sample: 		 {x0 : -2.243584821276852, x1 : -2.8119166735326155, y: False}
Nearest counterfactual sample:	 {x0 : 2.9695889336752894, x1 : -2.8119166735326155, y: True} (verified)
Minimum counterfactual distance: 0.203724
