

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


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 0.128518 in range [0.000000, 0.257035]...	no solution exists.
	Iteration #003: testing norm threshold 0.192776 in range [0.128518, 0.257035]...	no solution exists.
	Iteration #004: testing norm threshold 0.224906 in range [0.192776, 0.257035]...	solution exists & found.
	Iteration #005: testing norm threshold 0.205642 in range [0.192776, 0.218507]...	no solution exists.
	Iteration #006: testing norm threshold 0.212074 in range [0.205642, 0.218507]...	solution exists & found.
	Iteration #007: testing norm threshold 0.208858 in range [0.205642, 0.212074]...	solution exists & found.
	Iteration #008: testing norm threshold 0.207250 in range [0.205642, 0.208858]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206446 in range [0.205642, 0.207250]...	solution exists & found.
	Iteration #010: testing norm threshold 0.206044 in range [0.205642, 0.206446]...	no solution exists.
	Iteration #011: testing norm threshold 0.206245 in range [0.206044, 0.206446]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206144 in range [0.206044, 0.206245]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206094 in range [0.206044, 0.206144]...	no solution exists.
	Iteration #014: testing norm threshold 0.206119 in range [0.206094, 0.206144]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206107 in range [0.206094, 0.206119]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206100 in range [0.206094, 0.206107]...	solution exists & found.


Factual sample: 		 {x0 : -3.1132400519342776, x1 : -2.5302165862514525, y: False}
Nearest counterfactual sample:	 {x0 : 1.922761129724735, x1 : -2.5302165862514525, y: True} (verified)
Minimum counterfactual distance: 0.206100
