

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.091109 in range [0.000000, 0.182218]...	no solution exists.
	Iteration #003: testing norm threshold 0.136664 in range [0.091109, 0.182218]...	no solution exists.
	Iteration #004: testing norm threshold 0.159441 in range [0.136664, 0.182218]...	no solution exists.
	Iteration #005: testing norm threshold 0.170830 in range [0.159441, 0.182218]...	solution exists & found.
	Iteration #006: testing norm threshold 0.165135 in range [0.159441, 0.170830]...	no solution exists.
	Iteration #007: testing norm threshold 0.167983 in range [0.165135, 0.170830]...	no solution exists.
	Iteration #008: testing norm threshold 0.169406 in range [0.167983, 0.170830]...	no solution exists.
	Iteration #009: testing norm threshold 0.170118 in range [0.169406, 0.170830]...	solution exists & found.
	Iteration #010: testing norm threshold 0.169762 in range [0.169406, 0.170118]...	no solution exists.
	Iteration #011: testing norm threshold 0.169940 in range [0.169762, 0.170118]...	no solution exists.
	Iteration #012: testing norm threshold 0.170029 in range [0.169940, 0.170118]...	solution exists & found.
	Iteration #013: testing norm threshold 0.169985 in range [0.169940, 0.170029]...	no solution exists.
	Iteration #014: testing norm threshold 0.170007 in range [0.169985, 0.170029]...	no solution exists.
	Iteration #015: testing norm threshold 0.170018 in range [0.170007, 0.170029]...	solution exists & found.
	Iteration #016: testing norm threshold 0.170013 in range [0.170007, 0.170018]...	solution exists & found.


Factual sample: 		 {x0 : -2.8533407406715323, x1 : -1.8187750752605505, y: False}
Nearest counterfactual sample:	 {x0 : 1.3007190998208935, x1 : -1.8186389863510204, y: True} (verified)
Minimum counterfactual distance: 0.170013
