

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


Model Symbols:
{'counterfactual': {'x0_cat_0': {'lower_bound': 0,
                                 'symbol': x0_cat_0_counterfactual,
                                 'upper_bound': 1},
                    'x0_cat_1': {'lower_bound': 0,
                                 'symbol': x0_cat_1_counterfactual,
                                 'upper_bound': 1},
                    'x0_cat_2': {'lower_bound': 0,
                                 'symbol': x0_cat_2_counterfactual,
                                 'upper_bound': 1},
                    'x0_cat_3': {'lower_bound': 0,
                                 'symbol': x0_cat_3_counterfactual,
                                 'upper_bound': 1},
                    'x1': {'lower_bound': 0,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1},
                    'x2': {'lower_bound': 0.0,
                           'symbol': x2_counterfactual,
                           'upper_bound': 1.0},
                    'x3': {'lower_bound': 0.0,
                           'symbol': x3_counterfactual,
                           'upper_bound': 1.0},
                    'x4': {'lower_bound': 0,
                           'symbol': x4_counterfactual,
                           'upper_bound': 1}},
 'interventional': {'x0_cat_0': {'lower_bound': 0,
                                 'symbol': x0_cat_0_interventional,
                                 'upper_bound': 1},
                    'x0_cat_1': {'lower_bound': 0,
                                 'symbol': x0_cat_1_interventional,
                                 'upper_bound': 1},
                    'x0_cat_2': {'lower_bound': 0,
                                 'symbol': x0_cat_2_interventional,
                                 'upper_bound': 1},
                    'x0_cat_3': {'lower_bound': 0,
                                 'symbol': x0_cat_3_interventional,
                                 'upper_bound': 1},
                    'x1': {'lower_bound': 0,
                           'symbol': x1_interventional,
                           'upper_bound': 1},
                    'x2': {'lower_bound': 0.0,
                           'symbol': x2_interventional,
                           'upper_bound': 1.0},
                    'x3': {'lower_bound': 0.0,
                           'symbol': x3_interventional,
                           'upper_bound': 1.0},
                    'x4': {'lower_bound': 0,
                           'symbol': x4_interventional,
                           'upper_bound': 1}},
 '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]...	no solution exists.
	Iteration #002: testing norm threshold 0.750000 in range [0.500000, 1.000000]...	no solution exists.
	Iteration #003: testing norm threshold 0.875000 in range [0.750000, 1.000000]...	no solution exists.
	Iteration #004: testing norm threshold 0.937500 in range [0.875000, 1.000000]...	no solution exists.
	Iteration #005: testing norm threshold 0.968750 in range [0.937500, 1.000000]...	no solution exists.
	Iteration #006: testing norm threshold 0.984375 in range [0.968750, 1.000000]...	no solution exists.
	Iteration #007: testing norm threshold 0.992188 in range [0.984375, 1.000000]...	no solution exists.
	Iteration #008: testing norm threshold 0.996094 in range [0.992188, 1.000000]...	no solution exists.
	Iteration #009: testing norm threshold 0.998047 in range [0.996094, 1.000000]...	no solution exists.
	Iteration #010: testing norm threshold 0.999023 in range [0.998047, 1.000000]...	no solution exists.
	Iteration #011: testing norm threshold 0.999512 in range [0.999023, 1.000000]...	no solution exists.
	Iteration #012: testing norm threshold 0.999756 in range [0.999512, 1.000000]...	no solution exists.
	Iteration #013: testing norm threshold 0.999878 in range [0.999756, 1.000000]...	no solution exists.
	Iteration #014: testing norm threshold 0.999939 in range [0.999878, 1.000000]...	no solution exists.
	Iteration #015: testing norm threshold 0.999969 in range [0.999939, 1.000000]...	no solution exists.
	Iteration #016: testing norm threshold 0.999985 in range [0.999969, 1.000000]...	no solution exists.
	Iteration #017: testing norm threshold 0.999992 in range [0.999985, 1.000000]...	no solution exists.


Factual sample: 		 {x0_cat_0 : 0.0, x0_cat_1 : 1.0, x0_cat_2 : 0.0, x0_cat_3 : 0.0, x1 : 0.29411764705882354, x2 : 0.09557609772202047, x3 : 0.6666666666666666, x4 : 0.03571428571428571, y: False}
Nearest counterfactual sample:	 No sample found. (verified)
Minimum counterfactual distance: inf
