

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


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 0.070289 in range [0.000000, 0.140578]...	no solution exists.
	Iteration #003: testing norm threshold 0.105433 in range [0.070289, 0.140578]...	no solution exists.
	Iteration #004: testing norm threshold 0.123006 in range [0.105433, 0.140578]...	no solution exists.
	Iteration #005: testing norm threshold 0.131792 in range [0.123006, 0.140578]...	solution exists & found.
	Iteration #006: testing norm threshold 0.127399 in range [0.123006, 0.131792]...	no solution exists.
	Iteration #007: testing norm threshold 0.129595 in range [0.127399, 0.131792]...	solution exists & found.
	Iteration #008: testing norm threshold 0.128497 in range [0.127399, 0.129595]...	solution exists & found.
	Iteration #009: testing norm threshold 0.127948 in range [0.127399, 0.128497]...	no solution exists.
	Iteration #010: testing norm threshold 0.128223 in range [0.127948, 0.128497]...	solution exists & found.
	Iteration #011: testing norm threshold 0.128085 in range [0.127948, 0.128223]...	no solution exists.
	Iteration #012: testing norm threshold 0.128154 in range [0.128085, 0.128223]...	no solution exists.
	Iteration #013: testing norm threshold 0.128188 in range [0.128154, 0.128223]...	solution exists & found.
	Iteration #014: testing norm threshold 0.128171 in range [0.128154, 0.128188]...	solution exists & found.
	Iteration #015: testing norm threshold 0.128163 in range [0.128154, 0.128171]...	no solution exists.


Factual sample: 		 {x0 : -3.0707266374245474, x1 : -0.228090313451982, y: False}
Nearest counterfactual sample:	 {x0 : 0.061099909458223904, x1 : -0.228090313451982, y: True} (verified)
Minimum counterfactual distance: 0.128171
