

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


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 0.153929 in range [0.000000, 0.307858]...	no solution exists.
	Iteration #003: testing norm threshold 0.230893 in range [0.153929, 0.307858]...	no solution exists.
	Iteration #004: testing norm threshold 0.269375 in range [0.230893, 0.307858]...	solution exists & found.
	Iteration #005: testing norm threshold 0.250134 in range [0.230893, 0.269375]...	no solution exists.
	Iteration #006: testing norm threshold 0.259755 in range [0.250134, 0.269375]...	solution exists & found.
	Iteration #007: testing norm threshold 0.254945 in range [0.250134, 0.259755]...	no solution exists.
	Iteration #008: testing norm threshold 0.257350 in range [0.254945, 0.259755]...	no solution exists.
	Iteration #009: testing norm threshold 0.258552 in range [0.257350, 0.259755]...	solution exists & found.
	Iteration #010: testing norm threshold 0.257951 in range [0.257350, 0.258552]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257651 in range [0.257350, 0.257951]...	no solution exists.
	Iteration #012: testing norm threshold 0.257801 in range [0.257651, 0.257951]...	no solution exists.
	Iteration #013: testing norm threshold 0.257876 in range [0.257801, 0.257951]...	no solution exists.
	Iteration #014: testing norm threshold 0.257914 in range [0.257876, 0.257951]...	no solution exists.
	Iteration #015: testing norm threshold 0.257932 in range [0.257914, 0.257951]...	solution exists & found.
	Iteration #016: testing norm threshold 0.257923 in range [0.257914, 0.257933]...	no solution exists.


Factual sample: 		 {x0 : -4.587555763564004, x1 : -2.3573802940899915, y: False}
Nearest counterfactual sample:	 {x0 : 1.7149473694977568, x1 : -2.3573802940899915, y: True} (verified)
Minimum counterfactual distance: 0.257932
