

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


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 0.134209 in range [0.000000, 0.268418]...	no solution exists.
	Iteration #003: testing norm threshold 0.201313 in range [0.134209, 0.268418]...	no solution exists.
	Iteration #004: testing norm threshold 0.234866 in range [0.201313, 0.268418]...	solution exists & found.
	Iteration #005: testing norm threshold 0.218090 in range [0.201313, 0.234866]...	solution exists & found.
	Iteration #006: testing norm threshold 0.209702 in range [0.201313, 0.218090]...	no solution exists.
	Iteration #007: testing norm threshold 0.213896 in range [0.209702, 0.218090]...	no solution exists.
	Iteration #008: testing norm threshold 0.215993 in range [0.213896, 0.218090]...	no solution exists.
	Iteration #009: testing norm threshold 0.217041 in range [0.215993, 0.218090]...	no solution exists.
	Iteration #010: testing norm threshold 0.217565 in range [0.217041, 0.218090]...	solution exists & found.
	Iteration #011: testing norm threshold 0.217303 in range [0.217041, 0.217566]...	no solution exists.
	Iteration #012: testing norm threshold 0.217434 in range [0.217303, 0.217566]...	no solution exists.
	Iteration #013: testing norm threshold 0.217500 in range [0.217434, 0.217566]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217467 in range [0.217434, 0.217500]...	no solution exists.
	Iteration #015: testing norm threshold 0.217484 in range [0.217467, 0.217500]...	solution exists & found.
	Iteration #016: testing norm threshold 0.217476 in range [0.217467, 0.217484]...	no solution exists.


Factual sample: 		 {x0 : -2.944552245231019, x1 : -3.0827601313508257, y: False}
Nearest counterfactual sample:	 {x0 : 2.3695624280835528, x1 : -3.082793686159574, y: True} (verified)
Minimum counterfactual distance: 0.217484
