

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


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 0.181350 in range [0.000000, 0.362699]...	no solution exists.
	Iteration #003: testing norm threshold 0.272025 in range [0.181350, 0.362699]...	no solution exists.
	Iteration #004: testing norm threshold 0.317362 in range [0.272025, 0.362699]...	solution exists & found.
	Iteration #005: testing norm threshold 0.281251 in range [0.272025, 0.290478]...	solution exists & found.
	Iteration #006: testing norm threshold 0.276638 in range [0.272025, 0.281251]...	no solution exists.
	Iteration #007: testing norm threshold 0.278945 in range [0.276638, 0.281251]...	solution exists & found.
	Iteration #008: testing norm threshold 0.277791 in range [0.276638, 0.278945]...	solution exists & found.
	Iteration #009: testing norm threshold 0.277215 in range [0.276638, 0.277791]...	solution exists & found.
	Iteration #010: testing norm threshold 0.276926 in range [0.276638, 0.277215]...	no solution exists.
	Iteration #011: testing norm threshold 0.277071 in range [0.276926, 0.277215]...	no solution exists.
	Iteration #012: testing norm threshold 0.277143 in range [0.277071, 0.277215]...	solution exists & found.
	Iteration #013: testing norm threshold 0.277107 in range [0.277071, 0.277143]...	solution exists & found.
	Iteration #014: testing norm threshold 0.277089 in range [0.277071, 0.277107]...	no solution exists.
	Iteration #015: testing norm threshold 0.277098 in range [0.277089, 0.277107]...	no solution exists.


Factual sample: 		 {x0 : -3.4249678874696228, x1 : -3.4958671324793613, y: False}
Nearest counterfactual sample:	 {x0 : 3.6660320462246467, x1 : -3.4958671324793613, y: True} (verified)
Minimum counterfactual distance: 0.277107
