

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


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 1.500000 in range [0.000000, 3.000000]...	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 0.204859 in range [0.137501, 0.272218]...	solution exists & found.
	Iteration #006: testing norm threshold 0.203609 in range [0.137501, 0.269717]...	solution exists & found.
	Iteration #007: testing norm threshold 0.203538 in range [0.137501, 0.269576]...	solution exists & found.
	Iteration #008: testing norm threshold 0.203099 in range [0.137501, 0.268698]...	solution exists & found.
	Iteration #009: testing norm threshold 0.203283 in range [0.137501, 0.269066]...	solution exists & found.
	Iteration #010: testing norm threshold 0.203001 in range [0.137501, 0.268501]...	solution exists & found.
	Iteration #011: testing norm threshold 0.202892 in range [0.137501, 0.268283]...	solution exists & found.
	Iteration #012: testing norm threshold 0.202581 in range [0.137501, 0.267662]...	solution exists & found.
	Iteration #013: testing norm threshold 0.202730 in range [0.137501, 0.267959]...	solution exists & found.
	Iteration #014: testing norm threshold 0.202787 in range [0.137501, 0.268074]...	solution exists & found.
	Iteration #015: testing norm threshold 0.202887 in range [0.137501, 0.268273]...	solution exists & found.
	Iteration #016: testing norm threshold 0.202631 in range [0.137501, 0.267762]...	solution exists & found.
	Iteration #017: testing norm threshold 0.202822 in range [0.137501, 0.268144]...	solution exists & found.
	Iteration #018: testing norm threshold 0.202823 in range [0.137501, 0.268145]...	solution exists & found.
	Iteration #019: testing norm threshold 0.201734 in range [0.137501, 0.265966]...	solution exists & found.
	Iteration #020: testing norm threshold 0.202273 in range [0.137501, 0.267045]...	solution exists & found.
	Iteration #021: testing norm threshold 0.202611 in range [0.137501, 0.267721]...	solution exists & found.
	Iteration #022: testing norm threshold 0.202741 in range [0.137501, 0.267982]...	solution exists & found.
	Iteration #023: testing norm threshold 0.202792 in range [0.137501, 0.268083]...	