

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


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 0.054347 in range [0.000000, 0.108694]...	no solution exists.
	Iteration #003: testing norm threshold 0.081521 in range [0.054347, 0.108694]...	no solution exists.
	Iteration #004: testing norm threshold 0.095107 in range [0.081521, 0.108694]...	no solution exists.
	Iteration #005: testing norm threshold 0.101901 in range [0.095107, 0.108694]...	solution exists & found.
	Iteration #006: testing norm threshold 0.098504 in range [0.095107, 0.101901]...	solution exists & found.
	Iteration #007: testing norm threshold 0.096806 in range [0.095107, 0.098504]...	solution exists & found.
	Iteration #008: testing norm threshold 0.095957 in range [0.095107, 0.096806]...	solution exists & found.
	Iteration #009: testing norm threshold 0.095532 in range [0.095107, 0.095957]...	solution exists & found.
	Iteration #010: testing norm threshold 0.095320 in range [0.095107, 0.095532]...	no solution exists.
	Iteration #011: testing norm threshold 0.095426 in range [0.095320, 0.095532]...	solution exists & found.
	Iteration #012: testing norm threshold 0.095373 in range [0.095320, 0.095426]...	solution exists & found.
	Iteration #013: testing norm threshold 0.095346 in range [0.095320, 0.095373]...	solution exists & found.
	Iteration #014: testing norm threshold 0.095333 in range [0.095320, 0.095346]...	solution exists & found.
	Iteration #015: testing norm threshold 0.095326 in range [0.095320, 0.095333]...	solution exists & found.


Factual sample: 		 {x0 : -1.2968452307676528, x1 : -1.0176056236749742, y: False}
Nearest counterfactual sample:	 {x0 : 1.1424588573610746, x1 : -1.0176456528290925, y: True} (verified)
Minimum counterfactual distance: 0.095326
