-
Notifications
You must be signed in to change notification settings - Fork 20
/
scikit-learn__scikit-learn-25500.gpt-4-0125-preview.eval.log
119 lines (108 loc) · 10.2 KB
/
scikit-learn__scikit-learn-25500.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
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Task Metadata:
- Instance ID: scikit-learn__scikit-learn-25500
- Testbed: scikit-learn__scikit-learn__1.3
- Evaluation Model: gpt-4-0125-preview
- Python version: Python 3.9.19
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git -c advice.detachedHead=false checkout 4db04923a754b6a2defa1b172f55d492b85d165e
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
HEAD is now at 4db04923a TST Allow callables as valid parameter regarding cloning estimator (#25498)
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-25500_pred_try.patch
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
Checking patch sklearn/calibration.py...
Applied patch sklearn/calibration.py cleanly.
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Apply patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git apply -v -R /opt/temp_scikit-learn__scikit-learn-25500_pred_try.patch
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
Checking patch sklearn/calibration.py...
Applied patch sklearn/calibration.py cleanly.
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Revert patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-25500_pred.patch
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
Checking patch sklearn/calibration.py...
Applied patch sklearn/calibration.py cleanly.
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Apply patch successful (pred)
>>>>> Applied Patch (pred)
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git restore sklearn/tests/test_isotonic.py
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-25500_test.patch
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
Checking patch sklearn/tests/test_isotonic.py...
Applied patch sklearn/tests/test_isotonic.py cleanly.
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 0
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Apply patch successful (test)
>>>>> Applied Patch (test)
Test Script: pytest -rA --tb=no -p no:cacheprovider sklearn/tests/test_isotonic.py;
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Command: pytest -rA --tb=no -p no:cacheprovider sklearn/tests/test_isotonic.py
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] 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__1.3] [scikit-learn__scikit-learn-25500] Std. Output:
[1m============================= test session starts ==============================[0m
platform linux -- Python 3.9.19, pytest-8.2.0, pluggy-1.5.0
rootdir: /opt/scikit-learn__scikit-learn
configfile: setup.cfg
collected 46 items
sklearn/tests/test_isotonic.py [32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m [ 89%]
[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[31mF[0m[31m [100%][0m
[36m[1m=========================== short test summary info ============================[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_permutation_invariance[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_increasing_small_number_of_samples[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_increasing_up[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_increasing_up_extreme[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_increasing_down[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_increasing_down_extreme[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_check_ci_warn[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_ties_min[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_ties_max[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_ties_secondary_[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_with_ties_in_differently_sized_groups[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_reversed[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_auto_decreasing[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_auto_increasing[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_assert_raises_exceptions[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_sample_weight_parameter_default_value[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_min_max_boundaries[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_sample_weight[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_oob_raise[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_oob_clip[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_oob_nan[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_pickle[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_duplicate_min_entry[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_ymin_ymax[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_zero_weight_loop[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_fast_predict[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_copy_before_fit[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_dtype[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_mismatched_dtype[int32][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_mismatched_dtype[int64][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_mismatched_dtype[float32][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_mismatched_dtype[float64][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_make_unique_dtype[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_make_unique_tolerance[float64][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_make_unique_tolerance[float32][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_make_unique_tolerance[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_non_regression_inf_slope[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_thresholds[True][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_thresholds[False][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_input_shape_validation[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_2darray_more_than_1_feature[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_sample_weight_not_overwritten[0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_get_feature_names_out[1d][0m
[32mPASSED[0m sklearn/tests/test_isotonic.py::[1mtest_get_feature_names_out[2d][0m
[31mFAILED[0m sklearn/tests/test_isotonic.py::[1mtest_isotonic_regression_output_predict[0m - AssertionError: assert False
[31m========================= [31m[1m1 failed[0m, [32m45 passed[0m[31m in 0.87s[0m[31m =========================[0m
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Return Code: 1
>>>>> Some Tests Failed
[scikit-learn__scikit-learn__1.3] [scikit-learn__scikit-learn-25500] Test script run successful