

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


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 0.099611 in range [0.000000, 0.199222]...	no solution exists.
	Iteration #003: testing norm threshold 0.149417 in range [0.099611, 0.199222]...	solution exists & found.
	Iteration #004: testing norm threshold 0.124514 in range [0.099611, 0.149417]...	no solution exists.
	Iteration #005: testing norm threshold 0.136965 in range [0.124514, 0.149417]...	solution exists & found.
	Iteration #006: testing norm threshold 0.130740 in range [0.124514, 0.136966]...	solution exists & found.
	Iteration #007: testing norm threshold 0.127627 in range [0.124514, 0.130740]...	no solution exists.
	Iteration #008: testing norm threshold 0.129183 in range [0.127627, 0.130740]...	no solution exists.
	Iteration #009: testing norm threshold 0.129962 in range [0.129183, 0.130740]...	solution exists & found.
	Iteration #010: testing norm threshold 0.129573 in range [0.129183, 0.129962]...	solution exists & found.
	Iteration #011: testing norm threshold 0.129378 in range [0.129183, 0.129573]...	no solution exists.
	Iteration #012: testing norm threshold 0.129475 in range [0.129378, 0.129573]...	solution exists & found.
	Iteration #013: testing norm threshold 0.129427 in range [0.129378, 0.129475]...	solution exists & found.
	Iteration #014: testing norm threshold 0.129402 in range [0.129378, 0.129427]...	no solution exists.
	Iteration #015: testing norm threshold 0.129415 in range [0.129402, 0.129427]...	no solution exists.
	Iteration #016: testing norm threshold 0.129421 in range [0.129415, 0.129427]...	solution exists & found.


Factual sample: 		 {x0 : -1.4115076249401235, x1 : -1.7618068084125424, y: False}
Nearest counterfactual sample:	 {x0 : 1.899861068929075, x1 : -1.761421839580552, y: True} (verified)
Minimum counterfactual distance: 0.129421
