

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


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 0.123980 in range [0.000000, 0.247959]...	no solution exists.
	Iteration #003: testing norm threshold 0.185969 in range [0.123980, 0.247959]...	no solution exists.
	Iteration #004: testing norm threshold 0.216964 in range [0.185969, 0.247959]...	no solution exists.
	Iteration #005: testing norm threshold 0.232462 in range [0.216964, 0.247959]...	no solution exists.
	Iteration #006: testing norm threshold 0.240210 in range [0.232462, 0.247959]...	solution exists & found.
	Iteration #007: testing norm threshold 0.236336 in range [0.232462, 0.240210]...	solution exists & found.
	Iteration #008: testing norm threshold 0.234399 in range [0.232462, 0.236336]...	no solution exists.
	Iteration #009: testing norm threshold 0.235368 in range [0.234399, 0.236336]...	solution exists & found.
	Iteration #010: testing norm threshold 0.234883 in range [0.234399, 0.235368]...	solution exists & found.
	Iteration #011: testing norm threshold 0.234641 in range [0.234399, 0.234883]...	solution exists & found.
	Iteration #012: testing norm threshold 0.234520 in range [0.234399, 0.234641]...	no solution exists.
	Iteration #013: testing norm threshold 0.234581 in range [0.234520, 0.234641]...	no solution exists.
	Iteration #014: testing norm threshold 0.234611 in range [0.234581, 0.234641]...	solution exists & found.
	Iteration #015: testing norm threshold 0.234596 in range [0.234581, 0.234611]...	solution exists & found.
	Iteration #016: testing norm threshold 0.234588 in range [0.234581, 0.234596]...	solution exists & found.


Factual sample: 		 {x0 : -2.326823138497039, x1 : -3.5058026351365275, y: False}
Nearest counterfactual sample:	 {x0 : 3.676142762570505, x1 : -3.505814197623965, y: True} (verified)
Minimum counterfactual distance: 0.234588
