

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.151828 in range [0.000000, 0.303656]...	no solution exists.
	Iteration #003: testing norm threshold 0.227742 in range [0.151828, 0.303656]...	no solution exists.
	Iteration #004: testing norm threshold 0.265699 in range [0.227742, 0.303656]...	solution exists & found.
	Iteration #005: testing norm threshold 0.246720 in range [0.227742, 0.265699]...	no solution exists.
	Iteration #006: testing norm threshold 0.256210 in range [0.246720, 0.265699]...	solution exists & found.
	Iteration #007: testing norm threshold 0.251465 in range [0.246720, 0.256210]...	solution exists & found.
	Iteration #008: testing norm threshold 0.249093 in range [0.246720, 0.251465]...	solution exists & found.
	Iteration #009: testing norm threshold 0.247907 in range [0.246720, 0.249093]...	no solution exists.
	Iteration #010: testing norm threshold 0.248500 in range [0.247907, 0.249093]...	solution exists & found.
	Iteration #011: testing norm threshold 0.248203 in range [0.247907, 0.248500]...	no solution exists.
	Iteration #012: testing norm threshold 0.248352 in range [0.248203, 0.248500]...	no solution exists.
	Iteration #013: testing norm threshold 0.248426 in range [0.248352, 0.248500]...	solution exists & found.
	Iteration #014: testing norm threshold 0.248389 in range [0.248352, 0.248426]...	solution exists & found.
	Iteration #015: testing norm threshold 0.248370 in range [0.248352, 0.248389]...	solution exists & found.
	Iteration #016: testing norm threshold 0.248361 in range [0.248352, 0.248370]...	no solution exists.


Factual sample: 		 {x0 : -4.814033013850383, x1 : -1.4094700169752552, y: False}
Nearest counterfactual sample:	 {x0 : 1.5415399910887817, x1 : -1.4095367150838587, y: True} (verified)
Minimum counterfactual distance: 0.248370
