

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


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 0.142174 in range [0.000000, 0.284348]...	no solution exists.
	Iteration #003: testing norm threshold 0.213261 in range [0.142174, 0.284348]...	solution exists & found.
	Iteration #004: testing norm threshold 0.177718 in range [0.142174, 0.213261]...	no solution exists.
	Iteration #005: testing norm threshold 0.195490 in range [0.177718, 0.213261]...	no solution exists.
	Iteration #006: testing norm threshold 0.204375 in range [0.195490, 0.213261]...	no solution exists.
	Iteration #007: testing norm threshold 0.208818 in range [0.204375, 0.213261]...	solution exists & found.
	Iteration #008: testing norm threshold 0.206597 in range [0.204375, 0.208818]...	solution exists & found.
	Iteration #009: testing norm threshold 0.205486 in range [0.204375, 0.206597]...	no solution exists.
	Iteration #010: testing norm threshold 0.206042 in range [0.205486, 0.206597]...	no solution exists.
	Iteration #011: testing norm threshold 0.206319 in range [0.206042, 0.206597]...	no solution exists.
	Iteration #012: testing norm threshold 0.206458 in range [0.206319, 0.206597]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206389 in range [0.206319, 0.206458]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206354 in range [0.206319, 0.206389]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206337 in range [0.206319, 0.206354]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206328 in range [0.206319, 0.206337]...	solution exists & found.


Factual sample: 		 {x0 : -2.1094378742480075, x1 : -3.0089894257722003, y: False}
Nearest counterfactual sample:	 {x0 : 3.1703154699825897, x1 : -3.0090467222617803, y: True} (verified)
Minimum counterfactual distance: 0.206328
