

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


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 0.090438 in range [0.000000, 0.180875]...	no solution exists.
	Iteration #003: testing norm threshold 0.135656 in range [0.090438, 0.180875]...	no solution exists.
	Iteration #004: testing norm threshold 0.158266 in range [0.135656, 0.180875]...	solution exists & found.
	Iteration #005: testing norm threshold 0.146961 in range [0.135656, 0.158266]...	no solution exists.
	Iteration #006: testing norm threshold 0.152613 in range [0.146961, 0.158266]...	solution exists & found.
	Iteration #007: testing norm threshold 0.149787 in range [0.146961, 0.152614]...	no solution exists.
	Iteration #008: testing norm threshold 0.151200 in range [0.149787, 0.152614]...	solution exists & found.
	Iteration #009: testing norm threshold 0.150494 in range [0.149787, 0.151201]...	solution exists & found.
	Iteration #010: testing norm threshold 0.150141 in range [0.149787, 0.150494]...	solution exists & found.
	Iteration #011: testing norm threshold 0.149964 in range [0.149787, 0.150141]...	no solution exists.
	Iteration #012: testing norm threshold 0.150052 in range [0.149964, 0.150141]...	solution exists & found.
	Iteration #013: testing norm threshold 0.150008 in range [0.149964, 0.150052]...	no solution exists.
	Iteration #014: testing norm threshold 0.150030 in range [0.150008, 0.150052]...	no solution exists.
	Iteration #015: testing norm threshold 0.150041 in range [0.150030, 0.150052]...	solution exists & found.
	Iteration #016: testing norm threshold 0.150036 in range [0.150030, 0.150042]...	solution exists & found.


Factual sample: 		 {x0 : -1.2883899853115324, x1 : -2.400788265433236, y: False}
Nearest counterfactual sample:	 {x0 : 2.550648988483146, x1 : -2.400527278019961, y: True} (verified)
Minimum counterfactual distance: 0.150036
