

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.126583 in range [0.000000, 0.253165]...	no solution exists.
	Iteration #003: testing norm threshold 0.189874 in range [0.126583, 0.253165]...	no solution exists.
	Iteration #004: testing norm threshold 0.221519 in range [0.189874, 0.253165]...	solution exists & found.
	Iteration #005: testing norm threshold 0.205697 in range [0.189874, 0.221520]...	no solution exists.
	Iteration #006: testing norm threshold 0.213608 in range [0.205697, 0.221520]...	no solution exists.
	Iteration #007: testing norm threshold 0.217564 in range [0.213608, 0.221520]...	solution exists & found.
	Iteration #008: testing norm threshold 0.215586 in range [0.213608, 0.217564]...	solution exists & found.
	Iteration #009: testing norm threshold 0.214597 in range [0.213608, 0.215586]...	no solution exists.
	Iteration #010: testing norm threshold 0.215092 in range [0.214597, 0.215586]...	no solution exists.
	Iteration #011: testing norm threshold 0.215339 in range [0.215092, 0.215586]...	no solution exists.
	Iteration #012: testing norm threshold 0.215462 in range [0.215339, 0.215586]...	solution exists & found.
	Iteration #013: testing norm threshold 0.215401 in range [0.215339, 0.215463]...	solution exists & found.
	Iteration #014: testing norm threshold 0.215370 in range [0.215339, 0.215401]...	solution exists & found.
	Iteration #015: testing norm threshold 0.215354 in range [0.215339, 0.215370]...	solution exists & found.
	Iteration #016: testing norm threshold 0.215347 in range [0.215339, 0.215355]...	solution exists & found.


Factual sample: 		 {x0 : -2.4662557906373657, x1 : -2.88525228280354, y: False}
Nearest counterfactual sample:	 {x0 : 3.043693667439009, x1 : -2.8846775909997713, y: True} (verified)
Minimum counterfactual distance: 0.215347
