

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


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 0.097340 in range [0.000000, 0.194680]...	no solution exists.
	Iteration #003: testing norm threshold 0.146010 in range [0.097340, 0.194680]...	no solution exists.
	Iteration #004: testing norm threshold 0.170345 in range [0.146010, 0.194680]...	solution exists & found.
	Iteration #005: testing norm threshold 0.158178 in range [0.146010, 0.170345]...	no solution exists.
	Iteration #006: testing norm threshold 0.164262 in range [0.158178, 0.170345]...	solution exists & found.
	Iteration #007: testing norm threshold 0.161220 in range [0.158178, 0.164262]...	no solution exists.
	Iteration #008: testing norm threshold 0.162741 in range [0.161220, 0.164262]...	solution exists & found.
	Iteration #009: testing norm threshold 0.161980 in range [0.161220, 0.162741]...	no solution exists.
	Iteration #010: testing norm threshold 0.162360 in range [0.161980, 0.162741]...	no solution exists.
	Iteration #011: testing norm threshold 0.162551 in range [0.162360, 0.162741]...	solution exists & found.
	Iteration #012: testing norm threshold 0.162456 in range [0.162360, 0.162551]...	no solution exists.
	Iteration #013: testing norm threshold 0.162503 in range [0.162456, 0.162551]...	no solution exists.
	Iteration #014: testing norm threshold 0.162527 in range [0.162503, 0.162551]...	solution exists & found.
	Iteration #015: testing norm threshold 0.162515 in range [0.162503, 0.162527]...	solution exists & found.
	Iteration #016: testing norm threshold 0.162509 in range [0.162503, 0.162515]...	solution exists & found.


Factual sample: 		 {x0 : -2.256921239801999, x1 : -1.7630744005160317, y: False}
Nearest counterfactual sample:	 {x0 : 1.9011134707780726, x1 : -1.762647221065636, y: True} (verified)
Minimum counterfactual distance: 0.162509
