

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


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 0.157742 in range [0.000000, 0.315485]...	no solution exists.
	Iteration #003: testing norm threshold 0.236613 in range [0.157742, 0.315485]...	no solution exists.
	Iteration #004: testing norm threshold 0.276049 in range [0.236613, 0.315485]...	no solution exists.
	Iteration #005: testing norm threshold 0.295767 in range [0.276049, 0.315485]...	solution exists & found.
	Iteration #006: testing norm threshold 0.285908 in range [0.276049, 0.295767]...	solution exists & found.
	Iteration #007: testing norm threshold 0.280979 in range [0.276049, 0.285908]...	solution exists & found.
	Iteration #008: testing norm threshold 0.278514 in range [0.276049, 0.280979]...	no solution exists.
	Iteration #009: testing norm threshold 0.279746 in range [0.278514, 0.280979]...	no solution exists.
	Iteration #010: testing norm threshold 0.280362 in range [0.279746, 0.280979]...	no solution exists.
	Iteration #011: testing norm threshold 0.280671 in range [0.280362, 0.280979]...	solution exists & found.
	Iteration #012: testing norm threshold 0.280517 in range [0.280362, 0.280671]...	no solution exists.
	Iteration #013: testing norm threshold 0.280594 in range [0.280517, 0.280671]...	no solution exists.
	Iteration #014: testing norm threshold 0.280632 in range [0.280594, 0.280671]...	solution exists & found.
	Iteration #015: testing norm threshold 0.280613 in range [0.280594, 0.280632]...	no solution exists.
	Iteration #016: testing norm threshold 0.280623 in range [0.280613, 0.280632]...	no solution exists.


Factual sample: 		 {x0 : -2.3812420153648866, x1 : -4.609397094885953, y: False}
Nearest counterfactual sample:	 {x0 : 4.799971087759893, x1 : -4.609397094885953, y: True} (verified)
Minimum counterfactual distance: 0.280632
