-
Notifications
You must be signed in to change notification settings - Fork 20
/
scikit-learn__scikit-learn-14983.gpt-4-0125-preview.eval.log
327 lines (307 loc) · 25.3 KB
/
scikit-learn__scikit-learn-14983.gpt-4-0125-preview.eval.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Task Metadata:
- Instance ID: scikit-learn__scikit-learn-14983
- Testbed: scikit-learn__scikit-learn__0.22
- Evaluation Model: gpt-4-0125-preview
- Python version: Python 3.6.15
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git -c advice.detachedHead=false checkout 06632c0d185128a53c57ccc73b25b6408e90bb89
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
HEAD is now at 06632c0d1 DOC add missing attributes to OneVsRestClassifier (#14783)
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-14983_pred_try.patch
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
/opt/temp_scikit-learn__scikit-learn-14983_pred_try.patch:9: trailing whitespace.
/opt/temp_scikit-learn__scikit-learn-14983_pred_try.patch:19: trailing whitespace.
Checking patch sklearn/model_selection/_split.py...
Applied patch sklearn/model_selection/_split.py cleanly.
warning: 2 lines add whitespace errors.
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Apply patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git apply -v -R /opt/temp_scikit-learn__scikit-learn-14983_pred_try.patch
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
Checking patch sklearn/model_selection/_split.py...
Applied patch sklearn/model_selection/_split.py cleanly.
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Revert patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-14983_pred.patch
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
/opt/temp_scikit-learn__scikit-learn-14983_pred.patch:9: trailing whitespace.
/opt/temp_scikit-learn__scikit-learn-14983_pred.patch:19: trailing whitespace.
Checking patch sklearn/model_selection/_split.py...
Applied patch sklearn/model_selection/_split.py cleanly.
warning: 2 lines add whitespace errors.
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Apply patch successful (pred)
>>>>> Applied Patch (pred)
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git restore sklearn/model_selection/tests/test_split.py
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-14983_test.patch
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
Checking patch sklearn/model_selection/tests/test_split.py...
Applied patch sklearn/model_selection/tests/test_split.py cleanly.
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 0
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Apply patch successful (test)
>>>>> Applied Patch (test)
Test Script: pytest -rA --tb=no -p no:cacheprovider sklearn/model_selection/tests/test_split.py;
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Command: pytest -rA --tb=no -p no:cacheprovider sklearn/model_selection/tests/test_split.py
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2, "timeout": 1800}
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Std. Output:
============================= test session starts ==============================
platform linux -- Python 3.6.15, pytest-4.5.0, py-1.11.0, pluggy-0.13.1
rootdir: /opt/scikit-learn__scikit-learn, inifile: setup.cfg
collected 107 items
sklearn/model_selection/tests/test_split.py ............................ [ 26%]
...........................FF........................................... [ 93%]
....... [100%]
=============================== warnings summary ===============================
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
/opt/scikit-learn__scikit-learn/sklearn/model_selection/_split.py:656: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
% (min_groups, self.n_splits)), UserWarning)
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
/opt/scikit-learn__scikit-learn/sklearn/model_selection/_split.py:656: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
% (min_groups, self.n_splits)), UserWarning)
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
/opt/scikit-learn__scikit-learn/sklearn/model_selection/_split.py:656: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
% (min_groups, self.n_splits)), UserWarning)
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
sklearn/model_selection/tests/test_split.py::test_nested_cv
/opt/scikit-learn__scikit-learn/sklearn/model_selection/_validation.py:523: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details:
ValueError: Known solvers are 'sparse_cg', 'cholesky', 'svd' 'lsqr', 'sag' or 'saga'. Got eigen.
FitFailedWarning)
-- Docs: https://docs.pytest.org/en/latest/warnings.html
=========================== short test summary info ============================
FAILED sklearn/model_selection/tests/test_split.py::test_repeated_cv_repr[RepeatedKFold]
FAILED sklearn/model_selection/tests/test_split.py::test_repeated_cv_repr[RepeatedStratifiedKFold]
PASSED sklearn/model_selection/tests/test_split.py::test_cross_validator_with_default_params
PASSED sklearn/model_selection/tests/test_split.py::test_2d_y
PASSED sklearn/model_selection/tests/test_split.py::test_kfold_valueerrors
PASSED sklearn/model_selection/tests/test_split.py::test_kfold_indices
PASSED sklearn/model_selection/tests/test_split.py::test_kfold_no_shuffle
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_no_shuffle
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[4-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[4-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[5-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[5-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[6-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[6-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[7-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[7-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[8-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[8-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[9-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[9-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[10-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[10-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True]
PASSED sklearn/model_selection/tests/test_split.py::test_kfold_balance
PASSED sklearn/model_selection/tests/test_split.py::test_stratifiedkfold_balance
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_kfold
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_kfold_stratifiedkfold_reproducibility
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_stratifiedkfold
PASSED sklearn/model_selection/tests/test_split.py::test_kfold_can_detect_dependent_samples_on_digits
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[None-9-1-ShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[None-9-1-StratifiedShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[8-8-2-ShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[8-8-2-StratifiedShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[0.8-8-2-ShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[0.8-8-2-StratifiedShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[None-8-2]
PASSED sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[7-7-3]
PASSED sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[0.7-7-3]
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_init
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_respects_test_size
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_iter
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_even
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_overlap_train_test_bug
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_multilabel
PASSED sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_multilabel_many_labels
PASSED sklearn/model_selection/tests/test_split.py::test_predefinedsplit_with_kfold_split
PASSED sklearn/model_selection/tests/test_split.py::test_group_shuffle_split
PASSED sklearn/model_selection/tests/test_split.py::test_leave_one_p_group_out
PASSED sklearn/model_selection/tests/test_split.py::test_leave_group_out_changing_groups
PASSED sklearn/model_selection/tests/test_split.py::test_leave_one_p_group_out_error_on_fewer_number_of_groups
PASSED sklearn/model_selection/tests/test_split.py::test_repeated_cv_value_errors
PASSED sklearn/model_selection/tests/test_split.py::test_repeated_kfold_determinstic_split
PASSED sklearn/model_selection/tests/test_split.py::test_get_n_splits_for_repeated_kfold
PASSED sklearn/model_selection/tests/test_split.py::test_get_n_splits_for_repeated_stratified_kfold
PASSED sklearn/model_selection/tests/test_split.py::test_repeated_stratified_kfold_determinstic_split
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_errors
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[1.2-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[1.0-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.0-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[-0.2-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-1.2]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-1.0]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-0.0]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8--0.2]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[-10-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[11-0.8]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8--10]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8-0]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8-11]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[None-7-3]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[8-8-2]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[0.8-8-2]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_pandas
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_sparse
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_mock_pandas
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_list_input
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[2.0-None]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[1.0-None]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[0.1-0.95]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[None-train_size3]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[11-None]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[10-None]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[8-3]
PASSED sklearn/model_selection/tests/test_split.py::test_shufflesplit_reproducible
PASSED sklearn/model_selection/tests/test_split.py::test_stratifiedshufflesplit_list_input
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_allow_nans
PASSED sklearn/model_selection/tests/test_split.py::test_check_cv
PASSED sklearn/model_selection/tests/test_split.py::test_cv_iterable_wrapper
PASSED sklearn/model_selection/tests/test_split.py::test_group_kfold
PASSED sklearn/model_selection/tests/test_split.py::test_time_series_cv
PASSED sklearn/model_selection/tests/test_split.py::test_time_series_max_train_size
PASSED sklearn/model_selection/tests/test_split.py::test_nested_cv
PASSED sklearn/model_selection/tests/test_split.py::test_build_repr
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[ShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[GroupShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[StratifiedShuffleSplit]
PASSED sklearn/model_selection/tests/test_split.py::test_train_test_split_empty_trainset
PASSED sklearn/model_selection/tests/test_split.py::test_leave_one_out_empty_trainset
PASSED sklearn/model_selection/tests/test_split.py::test_leave_p_out_empty_trainset
============== 2 failed, 105 passed, 121 warnings in 3.02 seconds ==============
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Return Code: 1
>>>>> Some Tests Failed
[scikit-learn__scikit-learn__0.22] [scikit-learn__scikit-learn-14983] Test script run successful