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scikit-learn__scikit-learn-12471.gpt-4-0125-preview.eval.log
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scikit-learn__scikit-learn-12471.gpt-4-0125-preview.eval.log
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[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Task Metadata:
- Instance ID: scikit-learn__scikit-learn-12471
- Testbed: scikit-learn__scikit-learn__0.21
- Evaluation Model: gpt-4-0125-preview
- Python version: Python 3.6.15
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git -c advice.detachedHead=false checkout 02dc9ed680e7f53f1b0d410dcdd37341c7958eb1
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
HEAD is now at 02dc9ed68 Fix max_depth overshoot in BFS expansion of trees (#12344)
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-12471_pred_try.patch
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
Checking patch sklearn/preprocessing/_encoders.py...
Applied patch sklearn/preprocessing/_encoders.py cleanly.
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Apply patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git apply -v -R /opt/temp_scikit-learn__scikit-learn-12471_pred_try.patch
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
Checking patch sklearn/preprocessing/_encoders.py...
Applied patch sklearn/preprocessing/_encoders.py cleanly.
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Revert patch successful (pred_try)
>>>>> Applied Patch (pred_try)
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-12471_pred.patch
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
Checking patch sklearn/preprocessing/_encoders.py...
Applied patch sklearn/preprocessing/_encoders.py cleanly.
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Apply patch successful (pred)
>>>>> Applied Patch (pred)
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git restore sklearn/preprocessing/tests/test_encoders.py
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": true, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: git apply -v /opt/temp_scikit-learn__scikit-learn-12471_test.patch
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Subprocess args: {"cwd": "/opt/scikit-learn__scikit-learn", "check": false, "shell": false, "universal_newlines": true, "stdout": -1, "stderr": -2}
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Std. Output:
Checking patch sklearn/preprocessing/tests/test_encoders.py...
Applied patch sklearn/preprocessing/tests/test_encoders.py cleanly.
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 0
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Apply patch successful (test)
>>>>> Applied Patch (test)
Test Script: pytest -rA --tb=no -p no:cacheprovider sklearn/preprocessing/tests/test_encoders.py;
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Command: pytest -rA --tb=no -p no:cacheprovider sklearn/preprocessing/tests/test_encoders.py
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] 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__0.21] [scikit-learn__scikit-learn-12471] 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 54 items
sklearn/preprocessing/tests/test_encoders.py .....F..F................F. [ 50%]
F.FFFFF............F....FF. [100%]
=========================== short test summary info ============================
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[numeric]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[string]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-cat]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_unsorted_categories
FAILED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[numeric]
FAILED sklearn/preprocessing/tests/test_encoders.py::test_encoder_dtypes - as...
FAILED sklearn/preprocessing/tests/test_encoders.py::test_encoder_dtypes_pandas
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_sparse
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dense
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_deprecationwarnings
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_force_new_behaviour
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categorical_features
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_not_fitted
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_no_categorical_features
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-int32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-float32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-float64]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-int32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-float32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-float64]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-int32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-float32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-float64]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[int32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[float32]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[float64]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_set_params
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[mixed]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[numeric]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[mixed]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories_mixed_columns
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_pandas
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names_unicode
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-numeric]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-numeric]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[mixed]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[numeric]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[object-string-cat]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_inverse
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_raise_missing[numeric]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_raise_missing[object]
PASSED sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_warning
===================== 12 failed, 42 passed in 2.98 seconds =====================
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Return Code: 1
>>>>> Some Tests Failed
[scikit-learn__scikit-learn__0.21] [scikit-learn__scikit-learn-12471] Test script run successful