

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


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 0.148875 in range [0.000000, 0.297749]...	no solution exists.
	Iteration #003: testing norm threshold 0.223312 in range [0.148875, 0.297749]...	solution exists & found.
	Iteration #004: testing norm threshold 0.181008 in range [0.148875, 0.213142]...	no solution exists.
	Iteration #005: testing norm threshold 0.197075 in range [0.181008, 0.213142]...	no solution exists.
	Iteration #006: testing norm threshold 0.205108 in range [0.197075, 0.213142]...	solution exists & found.
	Iteration #007: testing norm threshold 0.201092 in range [0.197075, 0.205108]...	solution exists & found.
	Iteration #008: testing norm threshold 0.199083 in range [0.197075, 0.201092]...	no solution exists.
	Iteration #009: testing norm threshold 0.200088 in range [0.199083, 0.201092]...	no solution exists.
	Iteration #010: testing norm threshold 0.200590 in range [0.200088, 0.201092]...	no solution exists.
	Iteration #011: testing norm threshold 0.200841 in range [0.200590, 0.201092]...	no solution exists.
	Iteration #012: testing norm threshold 0.200966 in range [0.200841, 0.201092]...	solution exists & found.
	Iteration #013: testing norm threshold 0.200904 in range [0.200841, 0.200966]...	no solution exists.
	Iteration #014: testing norm threshold 0.200935 in range [0.200904, 0.200966]...	solution exists & found.
	Iteration #015: testing norm threshold 0.200919 in range [0.200904, 0.200935]...	no solution exists.
	Iteration #016: testing norm threshold 0.200927 in range [0.200919, 0.200935]...	no solution exists.


Factual sample: 		 {x0 : -3.5756653676961485, x1 : -1.8620543328643568, y: False}
Nearest counterfactual sample:	 {x0 : 1.3341208379813927, x1 : -1.8620543328643568, y: True} (verified)
Minimum counterfactual distance: 0.200935
