Test eager mode for some model tests

[VincentAuriau]

No description provided.

[github-actions]

Coverage Report for Python 3.11

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
base.py	388	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 608–620, 623–626, 629, 636–647, 651–664, 673–699, 707, 713, 780, 867, 912, 961, 1046, 1131
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	248	20	92%	139, 181, 278, 297, 337, 344, 373, 387, 392, 423–424, 433–434, 633–634, 790, 792–795
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	138	8	94%	152, 164, 175, 270, 342, 350, 352, 354
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3856	1916	50%

Tests	Skipped	Failures	Errors	Time
82	0 💤	0 ❌	0 🔥	58.314s ⏱️

[github-actions]

Coverage Report for Python 3.9

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
base.py	388	214	45%	40–41, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 608–620, 623–626, 629, 636–647, 651–664, 673–699, 707, 713, 780, 867, 912, 961, 1046, 1131
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	248	20	92%	139, 181, 278, 297, 337, 344, 373, 387, 392, 423–424, 433–434, 633–634, 790, 792–795
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	138	8	94%	152, 164, 175, 270, 342, 350, 352, 354
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	236	236	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3854	1915	50%

Tests	Skipped	Failures	Errors	Time
82	0 💤	0 ❌	0 🔥	58.691s ⏱️

[github-actions]

Coverage Report for Python 3.10

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
base.py	388	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 608–620, 623–626, 629, 636–647, 651–664, 673–699, 707, 713, 780, 867, 912, 961, 1046, 1131
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	248	20	92%	139, 181, 278, 297, 337, 344, 373, 387, 392, 423–424, 433–434, 633–634, 790, 792–795
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	138	8	94%	152, 164, 175, 270, 342, 350, 352, 354
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3856	1916	50%

Tests	Skipped	Failures	Errors	Time
82	0 💤	0 ❌	0 🔥	59.341s ⏱️

[github-actions]

Coverage Report for Python 3.12

File	Stmts	Miss	Cover	Missing
choice_learn/data
choice_dataset.py	647	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1174–1176, 1204, 1209, 1218, 1235, 1276, 1288, 1302, 1341, 1356, 1361, 1390, 1403, 1438–1439
indexer.py	237	22	91%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
base.py	388	213	45%	38, 63–70, 92–98, 120, 144–156, 226, 232–261, 266–335, 350–399, 414–446, 455–522, 608–620, 623–626, 629, 636–647, 651–664, 673–699, 707, 713, 780, 867, 912, 961, 1046, 1131
expedia.py	102	92	10%	27–301
tafeng.py	49	1	98%	50
choice_learn/models
__init__.py	12	2	83%	13–14
base_model.py	248	20	92%	139, 181, 278, 297, 337, 344, 373, 387, 392, 423–424, 433–434, 633–634, 790, 792–795
conditional_logit.py	235	137	42%	45, 48, 50, 81, 84, 87–91, 94–98, 132, 135, 175–178, 297, 334, 391, 438–576, 593–598, 625–634, 650–671, 696–720, 724–747
latent_class_base_model.py	280	280	0%	3–930
latent_class_mnl.py	60	60	0%	3–302
nested_logit.py	291	263	10%	54–82, 124–162, 188, 220, 229–236, 251–274, 284–317, 322, 332–353, 363–364, 398–547, 586–628, 664–707, 724–729, 756–765, 781–802, 827–874, 883–909
rumnet.py	245	160	35%	171–175, 186–218, 235–243, 268–272, 285–317, 334–341, 364–368, 381–417, 432–442, 532, 534, 561–567, 604, 639–683, 722–766, 807–834, 888–940, 970–988, 993, 1032–1086, 1125–1169, 1207–1234
simple_mnl.py	138	8	94%	152, 164, 175, 270, 342, 350, 352, 354
tastenet.py	94	56	40%	15, 64, 90–104, 140–142, 177–207, 223, 238–254, 273–289
choice_learn/toolbox
assortment_optimizer.py	27	27	0%	4–180
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	226	226	0%	3–666
TOTAL	3856	1916	50%

Tests	Skipped	Failures	Errors	Time
82	0 💤	0 ❌	0 🔥	1m 21s ⏱️