

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


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 0.114753 in range [0.000000, 0.229507]...	no solution exists.
	Iteration #003: testing norm threshold 0.172130 in range [0.114753, 0.229507]...	no solution exists.
	Iteration #004: testing norm threshold 0.200818 in range [0.172130, 0.229507]...	no solution exists.
	Iteration #005: testing norm threshold 0.215162 in range [0.200818, 0.229507]...	no solution exists.
	Iteration #006: testing norm threshold 0.222335 in range [0.215162, 0.229507]...	solution exists & found.
	Iteration #007: testing norm threshold 0.218749 in range [0.215162, 0.222335]...	solution exists & found.
	Iteration #008: testing norm threshold 0.216956 in range [0.215162, 0.218749]...	no solution exists.
	Iteration #009: testing norm threshold 0.217852 in range [0.216956, 0.218749]...	solution exists & found.
	Iteration #010: testing norm threshold 0.217404 in range [0.216956, 0.217852]...	solution exists & found.
	Iteration #011: testing norm threshold 0.217180 in range [0.216956, 0.217404]...	no solution exists.
	Iteration #012: testing norm threshold 0.217292 in range [0.217180, 0.217404]...	no solution exists.
	Iteration #013: testing norm threshold 0.217348 in range [0.217292, 0.217404]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217320 in range [0.217292, 0.217348]...	solution exists & found.
	Iteration #015: testing norm threshold 0.217306 in range [0.217292, 0.217320]...	solution exists & found.
	Iteration #016: testing norm threshold 0.217299 in range [0.217292, 0.217306]...	solution exists & found.


Factual sample: 		 {x0 : -2.614711549289911, x1 : -3.631755535894423, y: False}
Nearest counterfactual sample:	 {x0 : 2.6948585913175522, x1 : -3.63169443884694, y: True} (verified)
Minimum counterfactual distance: 0.217299
