--- /home/runner/work/scikit-learn/scikit-learn/sklearn/tests/test_kernel_approximation.py	2023-09-06 16:12:56.664419 +0000
+++ /home/runner/work/scikit-learn/scikit-learn/sklearn/tests/test_kernel_approximation.py	2023-09-06 16:13:27.748682 +0000
@@ -86,10 +86,11 @@
 
 
 def _linear_kernel(X, Y):
     return np.dot(X, Y.T)
 
+
 @pytest.mark.parametrize("csr_container", CSR_CONTAINERS)
 def test_additive_chi2_sampler():
     # test that AdditiveChi2Sampler approximates kernel on random data
 
     # compute exact kernel
@@ -300,10 +301,11 @@
         skewed_chi2_sampler_32.random_offset_, skewed_chi2_sampler_64.random_offset_
     )
     assert_allclose(
         skewed_chi2_sampler_32.random_weights_, skewed_chi2_sampler_64.random_weights_
     )
+
 
 @pytest.mark.parametrize("csr_container", CSR_CONTAINERS)
 def test_input_validation():
     # Regression test: kernel approx. transformers should work on lists
     # No assertions; the old versions would simply crash
would reformat /home/runner/work/scikit-learn/scikit-learn/sklearn/tests/test_kernel_approximation.py

Oh no! 💥 💔 💥
1 file would be reformatted, 908 files would be left unchanged.

sklearn/tests/test_kernel_approximation.py:81:41: F821 Undefined name `csr_container`
   |
79 |         n_components=500, gamma=gamma, degree=degree, coef0=coef0, random_state=42
80 |     )
81 |     Xt_sparse = ps_sparse.fit_transform(csr_container(X))
   |                                         ^^^^^^^^^^^^^ F821
82 |     Yt_sparse = ps_sparse.transform(csr_container(Y))
   |

sklearn/tests/test_kernel_approximation.py:82:37: F821 Undefined name `csr_container`
   |
80 |     )
81 |     Xt_sparse = ps_sparse.fit_transform(csr_container(X))
82 |     Yt_sparse = ps_sparse.transform(csr_container(Y))
   |                                     ^^^^^^^^^^^^^ F821
83 | 
84 |     assert_allclose(Xt_dense, Xt_sparse)
   |

sklearn/tests/test_kernel_approximation.py:114:42: F821 Undefined name `csr_container`
    |
112 |     assert_array_almost_equal(kernel, kernel_approx, 1)
113 | 
114 |     X_sp_trans = transform.fit_transform(csr_container(X))
    |                                          ^^^^^^^^^^^^^ F821
115 |     Y_sp_trans = transform.transform(csr_container(Y))
    |

sklearn/tests/test_kernel_approximation.py:115:38: F821 Undefined name `csr_container`
    |
114 |     X_sp_trans = transform.fit_transform(csr_container(X))
115 |     Y_sp_trans = transform.transform(csr_container(Y))
    |                                      ^^^^^^^^^^^^^ F821
116 | 
117 |     assert_array_equal(X_trans, X_sp_trans.A)
    |

sklearn/tests/test_kernel_approximation.py:315:9: F821 Undefined name `csr_container`
    |
313 |     RBFSampler().fit(X).transform(X)
314 | 
315 |     X = csr_container(X)
    |         ^^^^^^^^^^^^^ F821
316 |     RBFSampler().fit(X).transform(X)
    |

Found 5 errors.