

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.186787 in range [0.000000, 0.373575]...	no solution exists.
	Iteration #003: testing norm threshold 0.280181 in range [0.186787, 0.373575]...	solution exists & found.
	Iteration #004: testing norm threshold 0.233484 in range [0.186787, 0.280181]...	no solution exists.
	Iteration #005: testing norm threshold 0.256833 in range [0.233484, 0.280181]...	solution exists & found.
	Iteration #006: testing norm threshold 0.245158 in range [0.233484, 0.256833]...	no solution exists.
	Iteration #007: testing norm threshold 0.250996 in range [0.245158, 0.256833]...	no solution exists.
	Iteration #008: testing norm threshold 0.253914 in range [0.250996, 0.256833]...	solution exists & found.
	Iteration #009: testing norm threshold 0.252455 in range [0.250996, 0.253914]...	solution exists & found.
	Iteration #010: testing norm threshold 0.251725 in range [0.250996, 0.252455]...	solution exists & found.
	Iteration #011: testing norm threshold 0.251360 in range [0.250996, 0.251725]...	no solution exists.
	Iteration #012: testing norm threshold 0.251543 in range [0.251360, 0.251725]...	no solution exists.
	Iteration #013: testing norm threshold 0.251634 in range [0.251543, 0.251725]...	no solution exists.
	Iteration #014: testing norm threshold 0.251680 in range [0.251634, 0.251725]...	no solution exists.
	Iteration #015: testing norm threshold 0.251703 in range [0.251680, 0.251725]...	no solution exists.
	Iteration #016: testing norm threshold 0.251714 in range [0.251703, 0.251725]...	solution exists & found.
	Iteration #017: testing norm threshold 0.251708 in range [0.251703, 0.251714]...	solution exists & found.


Factual sample: 		 {x0 : -3.0687526415592017, x1 : -3.465073087954301, y: False}
Nearest counterfactual sample:	 {x0 : 2.931368367012886, x1 : -3.4648652994456377, y: True} (verified)
Minimum counterfactual distance: 0.251708
