

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


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 0.176402 in range [0.000000, 0.352804]...	no solution exists.
	Iteration #003: testing norm threshold 0.264603 in range [0.176402, 0.352804]...	solution exists & found.
	Iteration #004: testing norm threshold 0.215780 in range [0.176402, 0.255158]...	solution exists & found.
	Iteration #005: testing norm threshold 0.196091 in range [0.176402, 0.215780]...	no solution exists.
	Iteration #006: testing norm threshold 0.205935 in range [0.196091, 0.215780]...	solution exists & found.
	Iteration #007: testing norm threshold 0.201013 in range [0.196091, 0.205936]...	no solution exists.
	Iteration #008: testing norm threshold 0.203474 in range [0.201013, 0.205936]...	no solution exists.
	Iteration #009: testing norm threshold 0.204705 in range [0.203474, 0.205936]...	no solution exists.
	Iteration #010: testing norm threshold 0.205320 in range [0.204705, 0.205936]...	solution exists & found.
	Iteration #011: testing norm threshold 0.205013 in range [0.204705, 0.205320]...	no solution exists.
	Iteration #012: testing norm threshold 0.205167 in range [0.205013, 0.205320]...	no solution exists.
	Iteration #013: testing norm threshold 0.205243 in range [0.205167, 0.205320]...	solution exists & found.
	Iteration #014: testing norm threshold 0.205205 in range [0.205167, 0.205244]...	no solution exists.
	Iteration #015: testing norm threshold 0.205224 in range [0.205205, 0.205244]...	no solution exists.
	Iteration #016: testing norm threshold 0.205234 in range [0.205224, 0.205244]...	solution exists & found.


Factual sample: 		 {x0 : -2.3219492816227603, x1 : -3.6291014285937706, y: False}
Nearest counterfactual sample:	 {x0 : 2.692865470801172, x1 : -3.62911566633, y: True} (verified)
Minimum counterfactual distance: 0.205234
