

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


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 0.137934 in range [0.000000, 0.275867]...	no solution exists.
	Iteration #003: testing norm threshold 0.206901 in range [0.137934, 0.275867]...	solution exists & found.
	Iteration #004: testing norm threshold 0.172417 in range [0.137934, 0.206901]...	no solution exists.
	Iteration #005: testing norm threshold 0.189659 in range [0.172417, 0.206901]...	no solution exists.
	Iteration #006: testing norm threshold 0.198280 in range [0.189659, 0.206901]...	solution exists & found.
	Iteration #007: testing norm threshold 0.193969 in range [0.189659, 0.198280]...	no solution exists.
	Iteration #008: testing norm threshold 0.196125 in range [0.193969, 0.198280]...	solution exists & found.
	Iteration #009: testing norm threshold 0.195047 in range [0.193969, 0.196125]...	no solution exists.
	Iteration #010: testing norm threshold 0.195586 in range [0.195047, 0.196125]...	solution exists & found.
	Iteration #011: testing norm threshold 0.195317 in range [0.195047, 0.195586]...	solution exists & found.
	Iteration #012: testing norm threshold 0.195182 in range [0.195047, 0.195317]...	no solution exists.
	Iteration #013: testing norm threshold 0.195249 in range [0.195182, 0.195317]...	no solution exists.
	Iteration #014: testing norm threshold 0.195283 in range [0.195249, 0.195317]...	solution exists & found.
	Iteration #015: testing norm threshold 0.195266 in range [0.195249, 0.195283]...	no solution exists.
	Iteration #016: testing norm threshold 0.195275 in range [0.195266, 0.195283]...	solution exists & found.


Factual sample: 		 {x0 : -3.0118465318928487, x1 : -2.3283297459689694, y: False}
Nearest counterfactual sample:	 {x0 : 1.7596300173783577, x1 : -2.3283297459689694, y: True} (verified)
Minimum counterfactual distance: 0.195275
