

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


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},
                    'x1_cat_0': {'lower_bound': 0,
                                 'symbol': x1_cat_0_counterfactual,
                                 'upper_bound': 1},
                    'x1_cat_1': {'lower_bound': 0,
                                 'symbol': x1_cat_1_counterfactual,
                                 'upper_bound': 1},
                    'x2_cat_0': {'lower_bound': 0,
                                 'symbol': x2_cat_0_counterfactual,
                                 'upper_bound': 1},
                    'x2_cat_1': {'lower_bound': 0,
                                 'symbol': x2_cat_1_counterfactual,
                                 'upper_bound': 1},
                    'x3': {'lower_bound': 0.0,
                           'symbol': x3_counterfactual,
                           'upper_bound': 1.0},
                    'x4': {'lower_bound': 0.0,
                           'symbol': x4_counterfactual,
                           'upper_bound': 1.0}},
 '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},
                    'x1_cat_0': {'lower_bound': 0,
                                 'symbol': x1_cat_0_interventional,
                                 'upper_bound': 1},
                    'x1_cat_1': {'lower_bound': 0,
                                 'symbol': x1_cat_1_interventional,
                                 'upper_bound': 1},
                    'x2_cat_0': {'lower_bound': 0,
                                 'symbol': x2_cat_0_interventional,
                                 'upper_bound': 1},
                    'x2_cat_1': {'lower_bound': 0,
                                 'symbol': x2_cat_1_interventional,
                                 'upper_bound': 1},
                    'x3': {'lower_bound': 0.0,
                           'symbol': x3_interventional,
                           'upper_bound': 1.0},
                    'x4': {'lower_bound': 0.0,
                           'symbol': x4_interventional,
                           'upper_bound': 1.0}},
 '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 0.004394 in range [0.000000, 0.008788]...	solution exists & found.


Factual sample: 		 {x0_cat_0 : 1.0, x0_cat_1 : 0.0, x1_cat_0 : 1.0, x1_cat_1 : 0.0, x2_cat_0 : 1.0, x2_cat_1 : 0.0, x3 : 0.07275839341608338, x4 : 0.6444975328128777, y: False}
Nearest counterfactual sample:	 {x0_cat_0 : 1, x0_cat_1 : 0, x1_cat_0 : 1, x1_cat_1 : 0, x2_cat_0 : 1, x2_cat_1 : 0, x3 : 0.07275839341608338, x4 : 0.6444975328128777, y: True} (verified)
Minimum counterfactual distance: 0.000000
