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scikit-learn__scikit-learn-10297.gpt-4-0125-preview.eval.log
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scikit-learn__scikit-learn-10297.gpt-4-0125-preview.eval.log
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[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Task Metadata:
- Instance ID: scikit-learn__scikit-learn-10297
- Testbed: scikit-learn__scikit-learn__0.20
- Evaluation Model: gpt-4-0125-preview
- Python version: Python 3.6.15
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git -c advice.detachedHead=false checkout b90661d6a46aa3619d3eec94d5281f5888add501
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
HEAD is now at b90661d6a [MRG+1] TST apply transformer checks to any estimator supporting 'transform' (#10474)
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-10297_pred_try.patch
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
Checking patch sklearn/linear_model/ridge.py...
Applied patch sklearn/linear_model/ridge.py cleanly.
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Apply patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git apply -v -R /opt/temp_scikit-learn__scikit-learn-10297_pred_try.patch
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
Checking patch sklearn/linear_model/ridge.py...
Applied patch sklearn/linear_model/ridge.py cleanly.
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Revert patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-10297_pred.patch
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
Checking patch sklearn/linear_model/ridge.py...
Applied patch sklearn/linear_model/ridge.py cleanly.
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Apply patch successful (pred)
>>>>> Applied Patch (pred)
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git restore sklearn/linear_model/tests/test_ridge.py
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-10297_test.patch
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Std. Output:
Checking patch sklearn/linear_model/tests/test_ridge.py...
Applied patch sklearn/linear_model/tests/test_ridge.py cleanly.
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Apply patch successful (test)
>>>>> Applied Patch (test)
Test Script: pytest -rA --tb=no -p no:cacheprovider sklearn/linear_model/tests/test_ridge.py;
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Command: pytest -rA --tb=no -p no:cacheprovider sklearn/linear_model/tests/test_ridge.py
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] 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__0.20] [scikit-learn__scikit-learn-10297] 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 30 items
sklearn/linear_model/tests/test_ridge.py ..........x................... [100%]
=============================== warnings summary ===============================
sklearn/linear_model/tests/test_ridge.py:472
sklearn/linear_model/tests/test_ridge.py:472: PytestCollectionWarning: yield tests were removed in pytest 4.0 - test_dense_sparse will be ignored
def test_dense_sparse():
sklearn/linear_model/tests/test_ridge.py::test_ridge
sklearn/linear_model/tests/test_ridge.py::test_ridge
sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights
sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights
sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights
sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights
sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
sklearn/linear_model/tests/test_ridge.py::test_sparse_cg_max_iter
sklearn/linear_model/tests/test_ridge.py::test_dtype_match
sklearn/linear_model/tests/test_ridge.py::test_dtype_match
/opt/pyenv/versions/3.6.15/lib/python3.6/site-packages/scipy/sparse/linalg/isolve/iterative.py:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
/opt/scikit-learn__scikit-learn/sklearn/model_selection/_search.py:714: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal.
DeprecationWarning)
sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse
/opt/scikit-learn__scikit-learn/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'.
warnings.warn("In Ridge, only 'sag' solver can currently fit the "
-- Docs: https://docs.pytest.org/en/latest/warnings.html
=========================== short test summary info ============================
XFAIL sklearn/linear_model/tests/test_ridge.py::test_dense_sparse
reason: [NOTRUN] yield tests were removed in pytest 4.0 - test_dense_sparse will be ignored
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge
PASSED sklearn/linear_model/tests/test_ridge.py::test_primal_dual_relationship
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_singular
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_shapes
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_intercept
PASSED sklearn/linear_model/tests/test_ridge.py::test_toy_ridge_object
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_vs_lstsq
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_cv_sparse_svd
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_sparse_svd
PASSED sklearn/linear_model/tests/test_ridge.py::test_class_weights
PASSED sklearn/linear_model/tests/test_ridge.py::test_class_weight_vs_sample_weight
PASSED sklearn/linear_model/tests/test_ridge.py::test_class_weights_cv
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridgecv_store_cv_values
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_cv_store_cv_values
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
PASSED sklearn/linear_model/tests/test_ridge.py::test_raises_value_error_if_sample_weights_greater_than_1d
PASSED sklearn/linear_model/tests/test_ridge.py::test_sparse_design_with_sample_weights
PASSED sklearn/linear_model/tests/test_ridge.py::test_raises_value_error_if_solver_not_supported
PASSED sklearn/linear_model/tests/test_ridge.py::test_sparse_cg_max_iter
PASSED sklearn/linear_model/tests/test_ridge.py::test_n_iter
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse
PASSED sklearn/linear_model/tests/test_ridge.py::test_errors_and_values_helper
PASSED sklearn/linear_model/tests/test_ridge.py::test_errors_and_values_svd_helper
PASSED sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_no_support_multilabel
PASSED sklearn/linear_model/tests/test_ridge.py::test_dtype_match
PASSED sklearn/linear_model/tests/test_ridge.py::test_dtype_match_cholesky
============== 29 passed, 1 xfailed, 18 warnings in 1.80 seconds ===============
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Return Code: 0
>>>>> All Tests Passed
[scikit-learn__scikit-learn__0.20] [scikit-learn__scikit-learn-10297] Test script run successful