

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


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 0.125767 in range [0.000000, 0.251534]...	no solution exists.
	Iteration #003: testing norm threshold 0.188651 in range [0.125767, 0.251534]...	no solution exists.
	Iteration #004: testing norm threshold 0.220092 in range [0.188651, 0.251534]...	solution exists & found.
	Iteration #005: testing norm threshold 0.204372 in range [0.188651, 0.220093]...	solution exists & found.
	Iteration #006: testing norm threshold 0.196511 in range [0.188651, 0.204372]...	solution exists & found.
	Iteration #007: testing norm threshold 0.192581 in range [0.188651, 0.196511]...	no solution exists.
	Iteration #008: testing norm threshold 0.194546 in range [0.192581, 0.196511]...	no solution exists.
	Iteration #009: testing norm threshold 0.195529 in range [0.194546, 0.196511]...	no solution exists.
	Iteration #010: testing norm threshold 0.196020 in range [0.195529, 0.196511]...	no solution exists.
	Iteration #011: testing norm threshold 0.196266 in range [0.196020, 0.196511]...	solution exists & found.
	Iteration #012: testing norm threshold 0.196143 in range [0.196020, 0.196266]...	no solution exists.
	Iteration #013: testing norm threshold 0.196204 in range [0.196143, 0.196266]...	no solution exists.
	Iteration #014: testing norm threshold 0.196235 in range [0.196204, 0.196266]...	no solution exists.
	Iteration #015: testing norm threshold 0.196250 in range [0.196235, 0.196266]...	solution exists & found.
	Iteration #016: testing norm threshold 0.196243 in range [0.196235, 0.196250]...	solution exists & found.


Factual sample: 		 {x0 : -2.067784265137425, x1 : -2.7965742842534844, y: False}
Nearest counterfactual sample:	 {x0 : 2.9539390572098077, x1 : -2.796588143907541, y: True} (verified)
Minimum counterfactual distance: 0.196243
