

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.135071 in range [0.000000, 0.270142]...	no solution exists.
	Iteration #003: testing norm threshold 0.202606 in range [0.135071, 0.270142]...	no solution exists.
	Iteration #004: testing norm threshold 0.236374 in range [0.202606, 0.270142]...	no solution exists.
	Iteration #005: testing norm threshold 0.253258 in range [0.236374, 0.270142]...	no solution exists.
	Iteration #006: testing norm threshold 0.261700 in range [0.253258, 0.270142]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257479 in range [0.253258, 0.261700]...	no solution exists.
	Iteration #008: testing norm threshold 0.259589 in range [0.257479, 0.261700]...	solution exists & found.
	Iteration #009: testing norm threshold 0.258534 in range [0.257479, 0.259589]...	solution exists & found.
	Iteration #010: testing norm threshold 0.258006 in range [0.257479, 0.258534]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257743 in range [0.257479, 0.258007]...	no solution exists.
	Iteration #012: testing norm threshold 0.257875 in range [0.257743, 0.258007]...	no solution exists.
	Iteration #013: testing norm threshold 0.257941 in range [0.257875, 0.258007]...	solution exists & found.
	Iteration #014: testing norm threshold 0.257908 in range [0.257875, 0.257941]...	no solution exists.
	Iteration #015: testing norm threshold 0.257924 in range [0.257908, 0.257941]...	no solution exists.
	Iteration #016: testing norm threshold 0.257932 in range [0.257924, 0.257941]...	solution exists & found.


Factual sample: 		 {x0 : -4.587555763564004, x1 : -2.3573802940899915, y: False}
Nearest counterfactual sample:	 {x0 : 1.7149469535585846, x1 : -2.3573802940899915, y: True} (verified)
Minimum counterfactual distance: 0.257932
