

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


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 0.145982 in range [0.000000, 0.291964]...	no solution exists.
	Iteration #003: testing norm threshold 0.218973 in range [0.145982, 0.291964]...	no solution exists.
	Iteration #004: testing norm threshold 0.255468 in range [0.218973, 0.291964]...	no solution exists.
	Iteration #005: testing norm threshold 0.273716 in range [0.255468, 0.291964]...	solution exists & found.
	Iteration #006: testing norm threshold 0.264592 in range [0.255468, 0.273716]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260030 in range [0.255468, 0.264592]...	no solution exists.
	Iteration #008: testing norm threshold 0.262311 in range [0.260030, 0.264592]...	no solution exists.
	Iteration #009: testing norm threshold 0.263452 in range [0.262311, 0.264592]...	solution exists & found.
	Iteration #010: testing norm threshold 0.262882 in range [0.262311, 0.263452]...	solution exists & found.
	Iteration #011: testing norm threshold 0.262596 in range [0.262311, 0.262882]...	no solution exists.
	Iteration #012: testing norm threshold 0.262739 in range [0.262596, 0.262882]...	no solution exists.
	Iteration #013: testing norm threshold 0.262810 in range [0.262739, 0.262882]...	no solution exists.
	Iteration #014: testing norm threshold 0.262846 in range [0.262810, 0.262882]...	no solution exists.
	Iteration #015: testing norm threshold 0.262864 in range [0.262846, 0.262882]...	solution exists & found.
	Iteration #016: testing norm threshold 0.262855 in range [0.262846, 0.262864]...	solution exists & found.


Factual sample: 		 {x0 : -3.2996649271869734, x1 : -3.2606059647031285, y: False}
Nearest counterfactual sample:	 {x0 : 3.42559740977149, x1 : -3.2596803779201573, y: True} (verified)
Minimum counterfactual distance: 0.262855
