

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


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 0.123370 in range [0.000000, 0.246740]...	no solution exists.
	Iteration #003: testing norm threshold 0.185055 in range [0.123370, 0.246740]...	solution exists & found.
	Iteration #004: testing norm threshold 0.154213 in range [0.123370, 0.185055]...	no solution exists.
	Iteration #005: testing norm threshold 0.169634 in range [0.154213, 0.185055]...	no solution exists.
	Iteration #006: testing norm threshold 0.177345 in range [0.169634, 0.185055]...	solution exists & found.
	Iteration #007: testing norm threshold 0.173489 in range [0.169634, 0.177345]...	solution exists & found.
	Iteration #008: testing norm threshold 0.171562 in range [0.169634, 0.173489]...	no solution exists.
	Iteration #009: testing norm threshold 0.172525 in range [0.171562, 0.173489]...	no solution exists.
	Iteration #010: testing norm threshold 0.173007 in range [0.172525, 0.173489]...	no solution exists.
	Iteration #011: testing norm threshold 0.173248 in range [0.173007, 0.173489]...	no solution exists.
	Iteration #012: testing norm threshold 0.173369 in range [0.173248, 0.173489]...	solution exists & found.
	Iteration #013: testing norm threshold 0.173309 in range [0.173248, 0.173369]...	no solution exists.
	Iteration #014: testing norm threshold 0.173339 in range [0.173309, 0.173369]...	no solution exists.
	Iteration #015: testing norm threshold 0.173354 in range [0.173339, 0.173369]...	solution exists & found.
	Iteration #016: testing norm threshold 0.173346 in range [0.173339, 0.173354]...	solution exists & found.


Factual sample: 		 {x0 : -2.599106010652052, x1 : -2.176169598081433, y: False}
Nearest counterfactual sample:	 {x0 : 1.6365622456116338, x1 : -2.176169598081433, y: True} (verified)
Minimum counterfactual distance: 0.173346
