

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


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 0.125941 in range [0.000000, 0.251882]...	no solution exists.
	Iteration #003: testing norm threshold 0.188912 in range [0.125941, 0.251882]...	no solution exists.
	Iteration #004: testing norm threshold 0.220397 in range [0.188912, 0.251882]...	no solution exists.
	Iteration #005: testing norm threshold 0.236139 in range [0.220397, 0.251882]...	no solution exists.
	Iteration #006: testing norm threshold 0.244011 in range [0.236139, 0.251882]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240075 in range [0.236139, 0.244011]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238107 in range [0.236139, 0.240075]...	no solution exists.
	Iteration #009: testing norm threshold 0.239091 in range [0.238107, 0.240075]...	no solution exists.
	Iteration #010: testing norm threshold 0.239583 in range [0.239091, 0.240075]...	solution exists & found.
	Iteration #011: testing norm threshold 0.239337 in range [0.239091, 0.239583]...	no solution exists.
	Iteration #012: testing norm threshold 0.239460 in range [0.239337, 0.239583]...	no solution exists.
	Iteration #013: testing norm threshold 0.239522 in range [0.239460, 0.239583]...	solution exists & found.
	Iteration #014: testing norm threshold 0.239491 in range [0.239460, 0.239522]...	solution exists & found.
	Iteration #015: testing norm threshold 0.239476 in range [0.239460, 0.239491]...	solution exists & found.
	Iteration #016: testing norm threshold 0.239468 in range [0.239460, 0.239476]...	no solution exists.


Factual sample: 		 {x0 : -3.126903102131112, x1 : -3.521793052598437, y: False}
Nearest counterfactual sample:	 {x0 : 2.7246170123881703, x1 : -3.521793052598437, y: True} (verified)
Minimum counterfactual distance: 0.239476
