

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


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 0.091972 in range [0.000000, 0.183945]...	no solution exists.
	Iteration #003: testing norm threshold 0.137959 in range [0.091972, 0.183945]...	no solution exists.
	Iteration #004: testing norm threshold 0.160952 in range [0.137959, 0.183945]...	no solution exists.
	Iteration #005: testing norm threshold 0.172448 in range [0.160952, 0.183945]...	solution exists & found.
	Iteration #006: testing norm threshold 0.166700 in range [0.160952, 0.172448]...	no solution exists.
	Iteration #007: testing norm threshold 0.169574 in range [0.166700, 0.172448]...	no solution exists.
	Iteration #008: testing norm threshold 0.171011 in range [0.169574, 0.172448]...	solution exists & found.
	Iteration #009: testing norm threshold 0.170293 in range [0.169574, 0.171011]...	no solution exists.
	Iteration #010: testing norm threshold 0.170652 in range [0.170293, 0.171011]...	solution exists & found.
	Iteration #011: testing norm threshold 0.170473 in range [0.170293, 0.170652]...	no solution exists.
	Iteration #012: testing norm threshold 0.170562 in range [0.170473, 0.170652]...	no solution exists.
	Iteration #013: testing norm threshold 0.170607 in range [0.170562, 0.170652]...	solution exists & found.
	Iteration #014: testing norm threshold 0.170585 in range [0.170562, 0.170607]...	solution exists & found.
	Iteration #015: testing norm threshold 0.170574 in range [0.170562, 0.170585]...	solution exists & found.
	Iteration #016: testing norm threshold 0.170568 in range [0.170562, 0.170574]...	no solution exists.


Factual sample: 		 {x0 : -1.4057621084978609, x1 : -2.801664263611578, y: False}
Nearest counterfactual sample:	 {x0 : 2.9591123112520012, x1 : -2.8016723236927055, y: True} (verified)
Minimum counterfactual distance: 0.170574
