

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


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 0.100252 in range [0.000000, 0.200505]...	no solution exists.
	Iteration #003: testing norm threshold 0.150379 in range [0.100252, 0.200505]...	no solution exists.
	Iteration #004: testing norm threshold 0.175442 in range [0.150379, 0.200505]...	solution exists & found.
	Iteration #005: testing norm threshold 0.162910 in range [0.150379, 0.175442]...	no solution exists.
	Iteration #006: testing norm threshold 0.169176 in range [0.162910, 0.175442]...	solution exists & found.
	Iteration #007: testing norm threshold 0.166043 in range [0.162910, 0.169176]...	no solution exists.
	Iteration #008: testing norm threshold 0.167610 in range [0.166043, 0.169176]...	no solution exists.
	Iteration #009: testing norm threshold 0.168393 in range [0.167610, 0.169176]...	solution exists & found.
	Iteration #010: testing norm threshold 0.168001 in range [0.167610, 0.168393]...	solution exists & found.
	Iteration #011: testing norm threshold 0.167806 in range [0.167610, 0.168002]...	solution exists & found.
	Iteration #012: testing norm threshold 0.167708 in range [0.167610, 0.167806]...	no solution exists.
	Iteration #013: testing norm threshold 0.167757 in range [0.167708, 0.167806]...	no solution exists.
	Iteration #014: testing norm threshold 0.167781 in range [0.167757, 0.167806]...	solution exists & found.
	Iteration #015: testing norm threshold 0.167769 in range [0.167757, 0.167781]...	solution exists & found.
	Iteration #016: testing norm threshold 0.167763 in range [0.167757, 0.167769]...	no solution exists.


Factual sample: 		 {x0 : -2.0072127146989525, x1 : -2.1405315799325875, y: False}
Nearest counterfactual sample:	 {x0 : 2.2857238028984797, x1 : -2.140374326255449, y: True} (verified)
Minimum counterfactual distance: 0.167769
