

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


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 0.179797 in range [0.000000, 0.359594]...	no solution exists.
	Iteration #003: testing norm threshold 0.269696 in range [0.179797, 0.359594]...	solution exists & found.
	Iteration #004: testing norm threshold 0.201050 in range [0.179797, 0.222302]...	no solution exists.
	Iteration #005: testing norm threshold 0.211676 in range [0.201050, 0.222302]...	solution exists & found.
	Iteration #006: testing norm threshold 0.206363 in range [0.201050, 0.211676]...	no solution exists.
	Iteration #007: testing norm threshold 0.209020 in range [0.206363, 0.211676]...	no solution exists.
	Iteration #008: testing norm threshold 0.210348 in range [0.209020, 0.211676]...	solution exists & found.
	Iteration #009: testing norm threshold 0.209684 in range [0.209020, 0.210348]...	no solution exists.
	Iteration #010: testing norm threshold 0.210016 in range [0.209684, 0.210348]...	no solution exists.
	Iteration #011: testing norm threshold 0.210182 in range [0.210016, 0.210348]...	solution exists & found.
	Iteration #012: testing norm threshold 0.210099 in range [0.210016, 0.210182]...	solution exists & found.
	Iteration #013: testing norm threshold 0.210057 in range [0.210016, 0.210099]...	no solution exists.
	Iteration #014: testing norm threshold 0.210078 in range [0.210057, 0.210099]...	no solution exists.
	Iteration #015: testing norm threshold 0.210089 in range [0.210078, 0.210099]...	no solution exists.
	Iteration #016: testing norm threshold 0.210094 in range [0.210089, 0.210099]...	solution exists & found.


Factual sample: 		 {x0 : -2.099466327481145, x1 : -4.072887668533765, y: False}
Nearest counterfactual sample:	 {x0 : 3.0341144777693367, x1 : -4.072887668533765, y: True} (verified)
Minimum counterfactual distance: 0.210094
