

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


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 0.076079 in range [0.000000, 0.152158]...	no solution exists.
	Iteration #003: testing norm threshold 0.114118 in range [0.076079, 0.152158]...	no solution exists.
	Iteration #004: testing norm threshold 0.133138 in range [0.114118, 0.152158]...	solution exists & found.
	Iteration #005: testing norm threshold 0.123628 in range [0.114118, 0.133138]...	no solution exists.
	Iteration #006: testing norm threshold 0.128383 in range [0.123628, 0.133138]...	no solution exists.
	Iteration #007: testing norm threshold 0.130761 in range [0.128383, 0.133138]...	solution exists & found.
	Iteration #008: testing norm threshold 0.129572 in range [0.128383, 0.130761]...	solution exists & found.
	Iteration #009: testing norm threshold 0.128978 in range [0.128383, 0.129572]...	no solution exists.
	Iteration #010: testing norm threshold 0.129275 in range [0.128978, 0.129572]...	no solution exists.
	Iteration #011: testing norm threshold 0.129424 in range [0.129275, 0.129572]...	solution exists & found.
	Iteration #012: testing norm threshold 0.129349 in range [0.129275, 0.129424]...	no solution exists.
	Iteration #013: testing norm threshold 0.129386 in range [0.129349, 0.129424]...	no solution exists.
	Iteration #014: testing norm threshold 0.129405 in range [0.129386, 0.129424]...	no solution exists.
	Iteration #015: testing norm threshold 0.129414 in range [0.129405, 0.129424]...	no solution exists.


Factual sample: 		 {x0 : -1.4115076249401235, x1 : -1.7618068084125424, y: False}
Nearest counterfactual sample:	 {x0 : 1.900303970308001, x1 : -1.761861309308267, y: True} (verified)
Minimum counterfactual distance: 0.129424
