

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.160305 in range [0.000000, 0.320610]...	no solution exists.
	Iteration #003: testing norm threshold 0.240458 in range [0.160305, 0.320610]...	solution exists & found.
	Iteration #004: testing norm threshold 0.200381 in range [0.160305, 0.240458]...	no solution exists.
	Iteration #005: testing norm threshold 0.220420 in range [0.200381, 0.240458]...	solution exists & found.
	Iteration #006: testing norm threshold 0.210400 in range [0.200381, 0.220420]...	no solution exists.
	Iteration #007: testing norm threshold 0.215410 in range [0.210400, 0.220420]...	no solution exists.
	Iteration #008: testing norm threshold 0.217915 in range [0.215410, 0.220420]...	solution exists & found.
	Iteration #009: testing norm threshold 0.216662 in range [0.215410, 0.217915]...	no solution exists.
	Iteration #010: testing norm threshold 0.217289 in range [0.216662, 0.217915]...	no solution exists.
	Iteration #011: testing norm threshold 0.217602 in range [0.217289, 0.217915]...	solution exists & found.
	Iteration #012: testing norm threshold 0.217445 in range [0.217289, 0.217602]...	solution exists & found.
	Iteration #013: testing norm threshold 0.217367 in range [0.217289, 0.217445]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217328 in range [0.217289, 0.217367]...	solution exists & found.
	Iteration #015: testing norm threshold 0.217308 in range [0.217289, 0.217328]...	solution exists & found.
	Iteration #016: testing norm threshold 0.217299 in range [0.217289, 0.217308]...	solution exists & found.


Factual sample: 		 {x0 : -2.614711549289911, x1 : -3.631755535894423, y: False}
Nearest counterfactual sample:	 {x0 : 2.6949153138759923, x1 : -3.631755535894423, y: True} (verified)
Minimum counterfactual distance: 0.217299
