

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


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 0.193126 in range [0.000000, 0.386253]...	no solution exists.
	Iteration #003: testing norm threshold 0.289690 in range [0.193126, 0.386253]...	solution exists & found.
	Iteration #004: testing norm threshold 0.234811 in range [0.193126, 0.276496]...	no solution exists.
	Iteration #005: testing norm threshold 0.255654 in range [0.234811, 0.276496]...	no solution exists.
	Iteration #006: testing norm threshold 0.266075 in range [0.255654, 0.276496]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260865 in range [0.255654, 0.266075]...	no solution exists.
	Iteration #008: testing norm threshold 0.263470 in range [0.260865, 0.266075]...	no solution exists.
	Iteration #009: testing norm threshold 0.264773 in range [0.263470, 0.266075]...	solution exists & found.
	Iteration #010: testing norm threshold 0.264121 in range [0.263470, 0.264773]...	no solution exists.
	Iteration #011: testing norm threshold 0.264447 in range [0.264121, 0.264773]...	solution exists & found.
	Iteration #012: testing norm threshold 0.264284 in range [0.264121, 0.264447]...	no solution exists.
	Iteration #013: testing norm threshold 0.264366 in range [0.264284, 0.264447]...	solution exists & found.
	Iteration #014: testing norm threshold 0.264325 in range [0.264284, 0.264366]...	solution exists & found.
	Iteration #015: testing norm threshold 0.264305 in range [0.264284, 0.264325]...	solution exists & found.
	Iteration #016: testing norm threshold 0.264294 in range [0.264284, 0.264305]...	solution exists & found.
	Iteration #017: testing norm threshold 0.264289 in range [0.264284, 0.264295]...	solution exists & found.


Factual sample: 		 {x0 : -4.056433469183927, x1 : -3.250019045666299, y: False}
Nearest counterfactual sample:	 {x0 : 2.4013771862604147, x1 : -3.2500405430591925, y: True} (verified)
Minimum counterfactual distance: 0.264289
