[pre-commit.ci] pre-commit autoupdate by pre-commit-ci[bot] · Pull Request #291 · artefactory/choice-learn

pre-commit-ci · 2025-12-01T17:39:27Z

updates:

github.com/astral-sh/ruff-pre-commit: v0.15.10 → v0.15.11

github-actions · 2025-12-01T17:48:08Z

Coverage Report for Python 3.11

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	62	1	98%	283
choice_learn/basket_models
__init__.py	4	0	100%
alea_carta.py	148	22	85%	86–90, 92–96, 98–102, 106, 109, 131, 159, 308, 431–455
base_basket_model.py	235	27	89%	111–112, 123, 141, 185, 255, 377, 485, 585–587, 676, 762, 772, 822–830, 891–894, 934–935
basic_attention_model.py	89	4	96%	424, 427, 433, 440
self_attention_model.py	133	9	93%	71, 73, 75, 450–454, 651
shopper.py	184	9	95%	130, 159, 325, 345, 360, 363, 377, 489, 618
choice_learn/basket_models/data
__init__.py	2	0	100%
basket_dataset.py	190	30	84%	74–77, 295–297, 407, 540–576, 636, 658–661, 700–705, 790–801, 849
preprocessing.py	94	78	17%	43–45, 128–364
choice_learn/basket_models/datasets
__init__.py	3	0	100%
badminton.py	81	6	93%	62, 194–199, 247
bakery.py	38	3	92%	47, 51, 61
choice_learn/basket_models/utils
__init__.py	0	0	100%
permutation.py	22	1	95%	37
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	649	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1179–1181, 1209, 1214, 1223, 1240, 1281, 1293, 1307, 1346, 1361, 1366, 1395, 1408, 1443–1444
indexer.py	241	23	90%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291, 582
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	400	5	99%	42–43, 153–154, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	335	35	90%	145, 187, 289, 297, 303, 312, 352, 356–357, 362, 391, 395–396, 413, 426, 434, 475–476, 485–486, 587, 589, 605, 609, 611, 734–735, 935, 939–953
baseline_models.py	49	0	100%
conditional_logit.py	269	26	90%	49, 52, 54, 85, 88, 91–95, 98–102, 136, 206, 212–216, 351, 388, 445, 520–526, 651, 685, 822, 826
halo_mnl.py	124	18	85%	186, 341, 360, 364–380
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
choice_learn/utils
metrics.py	85	43	49%	74, 126–130, 147–166, 176, 190–199, 211–232, 242
TOTAL	5646	869	85%

Tests	Skipped	Failures	Errors	Time
222	0 💤	1 ❌	0 🔥	7m 21s ⏱️

github-actions · 2025-12-01T17:48:30Z

Coverage Report for Python 3.9

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	62	1	98%	283
choice_learn/basket_models
__init__.py	4	0	100%
alea_carta.py	148	22	85%	86–90, 92–96, 98–102, 106, 109, 131, 159, 308, 431–455
base_basket_model.py	235	27	89%	111–112, 123, 141, 185, 255, 377, 485, 585–587, 676, 762, 772, 822–830, 891–894, 934–935
basic_attention_model.py	89	4	96%	424, 427, 433, 440
self_attention_model.py	133	9	93%	71, 73, 75, 450–454, 651
shopper.py	184	9	95%	130, 159, 325, 345, 360, 363, 377, 489, 618
choice_learn/basket_models/data
__init__.py	2	0	100%
basket_dataset.py	190	30	84%	74–77, 295–297, 407, 540–576, 636, 658–661, 700–705, 790–801, 849
preprocessing.py	94	78	17%	43–45, 128–364
choice_learn/basket_models/datasets
__init__.py	3	0	100%
badminton.py	81	6	93%	62, 194–199, 247
bakery.py	38	3	92%	47, 51, 61
choice_learn/basket_models/utils
__init__.py	0	0	100%
permutation.py	22	1	95%	37
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	649	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1179–1181, 1209, 1214, 1223, 1240, 1281, 1293, 1307, 1346, 1361, 1366, 1395, 1408, 1443–1444
indexer.py	241	23	90%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291, 582
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	400	5	99%	42–43, 153–154, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	335	35	90%	145, 187, 289, 297, 303, 312, 352, 356–357, 362, 391, 395–396, 413, 426, 434, 475–476, 485–486, 587, 589, 605, 609, 611, 734–735, 935, 939–953
baseline_models.py	49	0	100%
conditional_logit.py	269	26	90%	49, 52, 54, 85, 88, 91–95, 98–102, 136, 206, 212–216, 351, 388, 445, 520–526, 651, 685, 822, 826
halo_mnl.py	124	18	85%	186, 341, 360, 364–380
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	236	236	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
choice_learn/utils
metrics.py	85	43	49%	74, 126–130, 147–166, 176, 190–199, 211–232, 242
TOTAL	5644	867	85%

Tests	Skipped	Failures	Errors	Time
222	0 💤	1 ❌	0 🔥	6m 22s ⏱️

github-actions · 2025-12-01T17:49:06Z

Coverage Report for Python 3.10

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	62	1	98%	283
choice_learn/basket_models
__init__.py	4	0	100%
alea_carta.py	148	22	85%	86–90, 92–96, 98–102, 106, 109, 131, 159, 308, 431–455
base_basket_model.py	235	27	89%	111–112, 123, 141, 185, 255, 377, 485, 585–587, 676, 762, 772, 822–830, 891–894, 934–935
basic_attention_model.py	89	4	96%	424, 427, 433, 440
self_attention_model.py	133	9	93%	71, 73, 75, 450–454, 651
shopper.py	184	9	95%	130, 159, 325, 345, 360, 363, 377, 489, 618
choice_learn/basket_models/data
__init__.py	2	0	100%
basket_dataset.py	190	30	84%	74–77, 295–297, 407, 540–576, 636, 658–661, 700–705, 790–801, 849
preprocessing.py	94	78	17%	43–45, 128–364
choice_learn/basket_models/datasets
__init__.py	3	0	100%
badminton.py	81	6	93%	62, 194–199, 247
bakery.py	38	3	92%	47, 51, 61
choice_learn/basket_models/utils
__init__.py	0	0	100%
permutation.py	22	1	95%	37
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	649	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1179–1181, 1209, 1214, 1223, 1240, 1281, 1293, 1307, 1346, 1361, 1366, 1395, 1408, 1443–1444
indexer.py	241	23	90%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291, 582
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	400	5	99%	42–43, 153–154, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	335	35	90%	145, 187, 289, 297, 303, 312, 352, 356–357, 362, 391, 395–396, 413, 426, 434, 475–476, 485–486, 587, 589, 605, 609, 611, 734–735, 935, 939–953
baseline_models.py	49	0	100%
conditional_logit.py	269	26	90%	49, 52, 54, 85, 88, 91–95, 98–102, 136, 206, 212–216, 351, 388, 445, 520–526, 651, 685, 822, 826
halo_mnl.py	124	2	98%	186, 374
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
choice_learn/utils
metrics.py	85	43	49%	74, 126–130, 147–166, 176, 190–199, 211–232, 242
TOTAL	5646	853	85%

Tests	Skipped	Failures	Errors	Time
222	0 💤	0 ❌	0 🔥	6m 42s ⏱️

github-actions · 2025-12-01T17:50:25Z

Coverage Report for Python 3.12

File	Stmts	Miss	Cover	Missing
choice_learn
__init__.py	2	0	100%
tf_ops.py	62	1	98%	283
choice_learn/basket_models
__init__.py	4	0	100%
alea_carta.py	148	22	85%	86–90, 92–96, 98–102, 106, 109, 131, 159, 308, 431–455
base_basket_model.py	235	27	89%	111–112, 123, 141, 185, 255, 377, 485, 585–587, 676, 762, 772, 822–830, 891–894, 934–935
basic_attention_model.py	89	4	96%	424, 427, 433, 440
self_attention_model.py	133	9	93%	71, 73, 75, 450–454, 651
shopper.py	184	9	95%	130, 159, 325, 345, 360, 363, 377, 489, 618
choice_learn/basket_models/data
__init__.py	2	0	100%
basket_dataset.py	190	30	84%	74–77, 295–297, 407, 540–576, 636, 658–661, 700–705, 790–801, 849
preprocessing.py	94	78	17%	43–45, 128–364
choice_learn/basket_models/datasets
__init__.py	3	0	100%
badminton.py	81	6	93%	62, 194–199, 247
bakery.py	38	3	92%	47, 53, 61
choice_learn/basket_models/utils
__init__.py	0	0	100%
permutation.py	22	1	95%	37
choice_learn/data
__init__.py	3	0	100%
choice_dataset.py	649	33	95%	198, 250, 283, 421, 463–464, 589, 724, 738, 840, 842, 937, 957–961, 1140, 1159–1161, 1179–1181, 1209, 1214, 1223, 1240, 1281, 1293, 1307, 1346, 1361, 1366, 1395, 1408, 1443–1444
indexer.py	241	23	90%	20, 31, 45, 60–67, 202–204, 219–230, 265, 291, 582
storage.py	161	6	96%	22, 33, 51, 56, 61, 71
store.py	72	72	0%	3–275
choice_learn/datasets
__init__.py	4	0	100%
base.py	400	5	99%	42–43, 153–154, 714
expedia.py	102	83	19%	37–301
tafeng.py	49	0	100%
choice_learn/datasets/data
__init__.py	0	0	100%
choice_learn/models
__init__.py	14	2	86%	15–16
base_model.py	335	35	90%	145, 187, 289, 297, 303, 312, 352, 356–357, 362, 391, 395–396, 413, 426, 434, 475–476, 485–486, 587, 589, 605, 609, 611, 734–735, 935, 939–953
baseline_models.py	49	0	100%
conditional_logit.py	269	26	90%	49, 52, 54, 85, 88, 91–95, 98–102, 136, 206, 212–216, 351, 388, 445, 520–526, 651, 685, 822, 826
halo_mnl.py	124	2	98%	186, 374
latent_class_base_model.py	286	39	86%	55–61, 273–279, 288, 325–330, 497–500, 605, 624, 665–701, 715, 720, 751–752, 774–775, 869–870, 974
latent_class_mnl.py	62	6	90%	257–261, 296
learning_mnl.py	67	3	96%	157, 182, 188
nested_logit.py	291	12	96%	55, 77, 160, 269, 351, 484, 530, 600, 679, 848, 900, 904
reslogit.py	132	6	95%	285, 360, 369, 374, 382, 432
rumnet.py	236	3	99%	748–751, 982
simple_mnl.py	139	6	96%	167, 275, 347, 355, 357, 359
tastenet.py	94	3	97%	142, 180, 188
choice_learn/toolbox
__init__.py	0	0	100%
assortment_optimizer.py	27	6	78%	28–30, 93–95, 160–162
gurobi_opt.py	238	238	0%	3–675
or_tools_opt.py	230	11	95%	103, 107, 296–305, 315, 319, 607, 611
choice_learn/utils
metrics.py	85	43	49%	74, 126–130, 147–166, 176, 190–199, 211–232, 242
TOTAL	5646	853	85%

Tests	Skipped	Failures	Errors	Time
222	0 💤	0 ❌	0 🔥	7m 53s ⏱️

updates: - [github.com/astral-sh/ruff-pre-commit: v0.15.10 → v0.15.11](astral-sh/ruff-pre-commit@v0.15.10...v0.15.11)

pre-commit-ci Bot requested a review from VincentAuriau as a code owner December 1, 2025 17:39

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updates: - [github.com/astral-sh/ruff-pre-commit: v0.15.10 → v0.15.11](astral-sh/ruff-pre-commit@v0.15.10...v0.15.11)

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