

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.123504 in range [0.000000, 0.247008]...	no solution exists.
	Iteration #003: testing norm threshold 0.185256 in range [0.123504, 0.247008]...	no solution exists.
	Iteration #004: testing norm threshold 0.216132 in range [0.185256, 0.247008]...	no solution exists.
	Iteration #005: testing norm threshold 0.231570 in range [0.216132, 0.247008]...	no solution exists.
	Iteration #006: testing norm threshold 0.239289 in range [0.231570, 0.247008]...	solution exists & found.
	Iteration #007: testing norm threshold 0.235429 in range [0.231570, 0.239289]...	solution exists & found.
	Iteration #008: testing norm threshold 0.233500 in range [0.231570, 0.235429]...	no solution exists.
	Iteration #009: testing norm threshold 0.234464 in range [0.233500, 0.235429]...	no solution exists.
	Iteration #010: testing norm threshold 0.234947 in range [0.234464, 0.235429]...	solution exists & found.
	Iteration #011: testing norm threshold 0.234706 in range [0.234464, 0.234947]...	no solution exists.
	Iteration #012: testing norm threshold 0.234826 in range [0.234706, 0.234947]...	solution exists & found.
	Iteration #013: testing norm threshold 0.234766 in range [0.234706, 0.234827]...	no solution exists.
	Iteration #014: testing norm threshold 0.234796 in range [0.234766, 0.234827]...	no solution exists.
	Iteration #015: testing norm threshold 0.234811 in range [0.234796, 0.234827]...	solution exists & found.
	Iteration #016: testing norm threshold 0.234804 in range [0.234796, 0.234812]...	solution exists & found.


Factual sample: 		 {x0 : -3.126903102131112, x1 : -3.521793052598437, y: False}
Nearest counterfactual sample:	 {x0 : 2.6104037774397377, x1 : -3.521846741609302, y: True} (verified)
Minimum counterfactual distance: 0.234804
