

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


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 0.129560 in range [0.000000, 0.259120]...	no solution exists.
	Iteration #003: testing norm threshold 0.194340 in range [0.129560, 0.259120]...	no solution exists.
	Iteration #004: testing norm threshold 0.226730 in range [0.194340, 0.259120]...	solution exists & found.
	Iteration #005: testing norm threshold 0.210535 in range [0.194340, 0.226730]...	solution exists & found.
	Iteration #006: testing norm threshold 0.202438 in range [0.194340, 0.210535]...	no solution exists.
	Iteration #007: testing norm threshold 0.206486 in range [0.202438, 0.210535]...	no solution exists.
	Iteration #008: testing norm threshold 0.208511 in range [0.206486, 0.210535]...	no solution exists.
	Iteration #009: testing norm threshold 0.209523 in range [0.208511, 0.210535]...	solution exists & found.
	Iteration #010: testing norm threshold 0.209017 in range [0.208511, 0.209523]...	no solution exists.
	Iteration #011: testing norm threshold 0.209270 in range [0.209017, 0.209523]...	solution exists & found.
	Iteration #012: testing norm threshold 0.209143 in range [0.209017, 0.209270]...	no solution exists.
	Iteration #013: testing norm threshold 0.209207 in range [0.209143, 0.209270]...	solution exists & found.
	Iteration #014: testing norm threshold 0.209175 in range [0.209143, 0.209207]...	no solution exists.
	Iteration #015: testing norm threshold 0.209191 in range [0.209175, 0.209207]...	no solution exists.
	Iteration #016: testing norm threshold 0.209199 in range [0.209191, 0.209207]...	solution exists & found.


Factual sample: 		 {x0 : -3.0516054161734547, x1 : -2.806120250508324, y: False}
Nearest counterfactual sample:	 {x0 : 2.060108395034293, x1 : -2.806120250508324, y: True} (verified)
Minimum counterfactual distance: 0.209199
