

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


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 0.195746 in range [0.137501, 0.253991]...	no solution exists.
	Iteration #007: testing norm threshold 0.224869 in range [0.195746, 0.253991]...	solution exists & found.
	Iteration #008: testing norm threshold 0.240454 in range [0.195746, 0.285163]...	solution exists & found.
	Iteration #009: testing norm threshold 0.246470 in range [0.195746, 0.297193]...	solution exists & found.
	Iteration #010: testing norm threshold 0.254091 in range [0.195746, 0.312436]...	solution exists & found.
	Iteration #011: testing norm threshold 0.251733 in range [0.195746, 0.307719]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250823 in range [0.195746, 0.305899]...	solution exists & found.
	Iteration #013: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #014: testing norm threshold 0.242765 in range [0.195746, 0.289784]...	solution exists & found.
	Iteration #015: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #016: testing norm threshold 0.255842 in range [0.195746, 0.315938]...	solution exists & found.
	Iteration #017: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #018: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #019: testing norm threshold 0.242765 in range [0.195746, 0.289784]...	solution exists & found.
	Iteration #020: testing norm threshold 0.251959 in range [0.195746, 0.308171]...	solution exists & found.
	Iteration #021: testing norm threshold 0.252354 in range [0.195746, 0.308962]...	solution exists & found.
	Iteration #022: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #023: testing norm threshold 0.242765 in range [0.195746, 0.289784]...	solution exists & found.
	Iteration #024: testing norm threshold 0.248550 in range [0.195746, 0.301354]...	solution exists & found.
	Iteration #025: testing norm threshold 0.247989 in range [0.195746, 0.300231]...	solution exists & found.
	Iteration #026: testing norm threshold 0.249378 in range [0.195746, 0.303009]...	solution exists & found.
	Iteration #027: testing norm threshold 0.251286 in range [0.195746, 0.306826]...	solution exists & found.
	Iteration #028: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #029: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #030: testing norm threshold 0.246284 in range [0.195746, 0.296823]...	solution exists & found.
	Iteration #031: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #032: testing norm threshold 0.243623 in range [0.195746, 0.291500]...	solution exists & found.
	Iteration #033: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #034: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #035: testing norm threshold 0.242765 in range [0.195746, 0.289784]...	solution exists & found.
	Iteration #036: testing norm threshold 0.242869 in range [0.195746, 0.289992]...	solution exists & found.
	Iteration #037: testing norm threshold 0.252291 in range [0.195746, 0.308836]...	solution exists & found.
	Iteration #038: testing norm threshold 0.257002 in range [0.195746, 0.318257]...	solution exists & found.
	Iteration #039: testing norm threshold 0.259357 in range [0.195746, 0.322968]...	solution exists & found.
	Iteration #040: testing norm threshold 0.253392 in range [0.195746, 0.311038]...	solution exists & found.
	Iteration #041: testing norm threshold 0.251463 in range [0.195746, 0.307180]...	solution exists & found.
	Iteration #042: testing norm threshold 0.250718 in range [0.195746, 0.305691]...	solution exists & found.
	Iteration #043: testing norm threshold 0.250431 in range [0.195746, 0.305116]...	solution exists & found.
	Iteration #044: testing norm threshold 0.251722 in range [0.195746, 0.307698]...	solution exists & found.
	Iteration #045: testing norm threshold 0.256717 in range [0.195746, 0.317688]...	solution exists & found.
	Iteration #046: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #047: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #048: testing norm threshold 0.243623 in range [0.195746, 0.291500]...	solution exists & found.
	Iteration #049: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #050: testing norm threshold 0.242765 in range [0.195746, 0.289784]...	solution exists & found.
	Iteration #051: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #052: testing norm threshold 0.246284 in range [0.195746, 0.296823]...	solution exists & found.
	Iteration #053: testing norm threshold 0.248720 in range [0.195746, 0.301693]...	solution exists & found.
	Iteration #054: testing norm threshold 0.253225 in range [0.195746, 0.310703]...	solution exists & found.
	Iteration #055: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #056: testing norm threshold 0.250143 in range [0.195746, 0.304540]...	solution exists & found.
	Iteration #057: testing norm threshold 0.251603 in range [0.195746, 0.307459]...	solution exists & found.
	Iteration #058: testing norm threshold 0.250772 in range [0.195746, 0.305799]...	solution exists & found.
	Iteration #059: testing norm threshold 0.233348 in range [0.195746, 0.270950]...	solution exists & found.
	Iteration #060: testing norm threshold 0.243727 in range [0.195746, 0.291708]...	solution exists & found.
	Iteration #061: testing norm threshold 0.247733 in range [0.195746, 0.299719]...	solution exists & found.
	Iteration #062: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #063: testing norm threshold 0.246284 in range [0.195746, 0.296823]...	solution exists & found.
	Iteration #064: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #065: testing norm threshold 0.243623 in range [0.195746, 0.291500]...	solution exists & found.
	Iteration #066: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #067: testing norm threshold 0.243623 in range [0.195746, 0.291500]...	solution exists & found.
	Iteration #068: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #069: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #070: testing norm threshold 0.246284 in range [0.195746, 0.296823]...	solution exists & found.
	Iteration #071: testing norm threshold 0.253999 in range [0.195746, 0.312251]...	solution exists & found.
	Iteration #072: testing norm threshold 0.253198 in range [0.195746, 0.310650]...	solution exists & found.
	Iteration #073: testing norm threshold 0.251388 in range [0.195746, 0.307030]...	solution exists & found.
	Iteration #074: testing norm threshold 0.250690 in range [0.195746, 0.305633]...	solution exists & found.
	Iteration #075: testing norm threshold 0.250420 in range [0.195746, 0.305094]...	solution exists & found.
	Iteration #076: testing norm threshold 0.250316 in range [0.195746, 0.304886]...	solution exists & found.
	Iteration #077: testing norm threshold 0.250276 in range [0.195746, 0.304805]...	solution exists & found.
	Iteration #078: testing norm threshold 0.250260 in range [0.195746, 0.304774]...	solution exists & found.
	Iteration #079: testing norm threshold 0.237066 in range [0.195746, 0.278386]...	solution exists & found.
	Iteration #080: testing norm threshold 0.245162 in range [0.195746, 0.294578]...	solution exists & found.
	Iteration #081: testing norm threshold 0.246294 in range [0.195746, 0.296843]...	solution exists & found.
	Iteration #082: testing norm threshold 0.246861 in range [0.195746, 0.297975]...	solution exists & found.
	Iteration #083: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #084: testing norm threshold 0.251532 in range [0.195746, 0.307317]...	solution exists & found.
	Iteration #085: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #086: testing norm threshold 0.246284 in range [0.195746, 0.296823]...	solution exists & found.
	Iteration #087: testing norm threshold 0.253999 in range [0.195746, 0.312251]...	solution exists & found.
	Iteration #088: testing norm threshold 0.240414 in range [0.195746, 0.285082]...	solution exists & found.
	Iteration #089: testing norm threshold 0.230856 in range [0.195746, 0.265966]...	solution exists & found.
	Iteration #090: testing norm threshold 0.243623 in range [0.195746, 0.291500]...	solution exists & found.
	Iteration #091: testing norm threshold 0.252668 in range [0.195746, 0.309589]...	solution exists & found.
	Iteration #092: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #093: testing norm threshold 0.233196 in range [0.195746, 0.270647]...	solution exists & found.
	Iteration #094: testing norm threshold 0.243668 in range [0.195746, 0.291591]...	solution exists & found.
	Iteration #095: testing norm threshold 0.247710 in range [0.195746, 0.299674]...	solution exists & found.
	Iteration #096: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #097: testing norm threshold 0.249972 in range [0.195746, 0.304197]...	solution exists & found.
	Iteration #098: testing norm threshold 0.247367 in range [0.195746, 0.298988]...	solution exists & found.
	Iteration #099: testing norm threshold 0.250454 in range [0.195746, 0.305162]...	solution exists & found.


Factual sample: 		 {x0_cat_0 : 0.0, x0_cat_1 : 1.0, x0_cat_2 : 0.0, x0_cat_3 : 0.0, x1 : 0.29411764705882354, x2 : 0.09557609772202047, x3 : 0.6666666666666666, x4 : 0.03571428571428571, y: False}
Nearest counterfactual sample:	 {x0_cat_0 : 0, x0_cat_1 : 1, x0_cat_2 : 0, x0_cat_3 : 0, x1 : 0, x2 : 0.08920612546635259, x3 : 0.6614836135701102, x4 : 1, y: True} (verified)
Minimum counterfactual distance: 0.253991
