

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


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]...	solution exists & found.
	Iteration #002: testing norm threshold 0.210919 in range [0.000000, 0.421838]...	solution exists & found.
	Iteration #003: testing norm threshold 0.137501 in range [0.000000, 0.275002]...	no solution exists.
	Iteration #004: testing norm threshold 0.206251 in range [0.137501, 0.275002]...	solution exists & found.
	Iteration #005: testing norm threshold 0.204146 in range [0.137501, 0.270792]...	solution exists & found.
	Iteration #006: testing norm threshold 0.203449 in range [0.137501, 0.269398]...	solution exists & found.
	Iteration #007: testing norm threshold 0.203458 in range [0.137501, 0.269416]...	solution exists & found.
	Iteration #008: testing norm threshold 0.203068 in range [0.137501, 0.268636]...	solution exists & found.
	Iteration #009: testing norm threshold 0.202918 in range [0.137501, 0.268335]...	solution exists & found.
	Iteration #010: testing norm threshold 0.202941 in range [0.137501, 0.268381]...	solution exists & found.
	Iteration #011: testing norm threshold 0.196061 in range [0.137501, 0.254622]...	no solution exists.
	Iteration #012: testing norm threshold 0.225342 in range [0.196061, 0.254622]...	solution exists & found.
	Iteration #013: testing norm threshold 0.243685 in range [0.196061, 0.291308]...	solution exists & found.
	Iteration #014: testing norm threshold 0.231014 in range [0.196061, 0.265966]...	solution exists & found.
	Iteration #015: testing norm threshold 0.242984 in range [0.196061, 0.289906]...	solution exists & found.
	Iteration #016: testing norm threshold 0.231014 in range [0.196061, 0.265966]...	solution exists & found.
	Iteration #017: testing norm threshold 0.246521 in range [0.196061, 0.296980]...	solution exists & found.
	Iteration #018: testing norm threshold 0.248969 in range [0.196061, 0.301876]...	solution exists & found.
	Iteration #019: testing norm threshold 0.248355 in range [0.196061, 0.300649]...	solution exists & found.
	Iteration #020: testing norm threshold 0.231014 in range [0.196061, 0.265966]...	solution exists & found.
	Iteration #021: testing norm threshold 0.242984 in range [0.196061, 0.289906]...	solution exists & found.
	Iteration #022: testing norm threshold 0.247604 in range [0.196061, 0.299146]...	solution exists & found.
	Iteration #023: testing norm threshold 0.254816 in range [0.196061, 0.313570]...	solution exists & found.
	Iteration #024: testing norm threshold 0.252170 in range [0.196061, 0.308279]...	solution exists & found.
	Iteration #025: testing norm threshold 0.252599 in range [0.196061, 0.309137]...	solution exists & found.
	Iteration #026: testing norm threshold 0.252776 in range [0.196061, 0.309491]...	solution exists & found.
	Iteration #027: testing norm threshold 0.252850 in range [0.196061, 0.309638]...	solution exists & found.
	Iteration #028: testing norm threshold 0.252880 in range [0.196061, 0.309699]...	solution exists & found.
	Iteration #029: testing norm threshold 0.250129 in range [0.196061, 0.304197]...	solution exists & found.
	Iteration #030: testing norm threshold 0.250361 in range [0.196061, 0.304661]...	solution exists & found.
