

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


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 0.090496 in range [0.000000, 0.180991]...	no solution exists.
	Iteration #003: testing norm threshold 0.135743 in range [0.090496, 0.180991]...	no solution exists.
	Iteration #004: testing norm threshold 0.158367 in range [0.135743, 0.180991]...	solution exists & found.
	Iteration #005: testing norm threshold 0.147055 in range [0.135743, 0.158367]...	no solution exists.
	Iteration #006: testing norm threshold 0.152711 in range [0.147055, 0.158367]...	solution exists & found.
	Iteration #007: testing norm threshold 0.149883 in range [0.147055, 0.152711]...	no solution exists.
	Iteration #008: testing norm threshold 0.151297 in range [0.149883, 0.152711]...	solution exists & found.
	Iteration #009: testing norm threshold 0.150590 in range [0.149883, 0.151297]...	solution exists & found.
	Iteration #010: testing norm threshold 0.150237 in range [0.149883, 0.150590]...	solution exists & found.
	Iteration #011: testing norm threshold 0.150060 in range [0.149883, 0.150237]...	no solution exists.
	Iteration #012: testing norm threshold 0.150149 in range [0.150060, 0.150237]...	solution exists & found.
	Iteration #013: testing norm threshold 0.150104 in range [0.150060, 0.150149]...	no solution exists.
	Iteration #014: testing norm threshold 0.150127 in range [0.150104, 0.150149]...	no solution exists.
	Iteration #015: testing norm threshold 0.150138 in range [0.150127, 0.150149]...	no solution exists.
	Iteration #016: testing norm threshold 0.150143 in range [0.150138, 0.150149]...	solution exists & found.


Factual sample: 		 {x0 : -1.1247133966314509, x1 : -2.5641551705814303, y: False}
Nearest counterfactual sample:	 {x0 : 2.7167441906956546, x1 : -2.56360674539508, y: True} (verified)
Minimum counterfactual distance: 0.150143
