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[pre-commit.ci] pre-commit autoupdate #3

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merged 2 commits into from
Apr 11, 2023
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[pre-commit.ci] pre-commit autoupdate #3

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e67e1c5
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Apr 3, 2023
b10f041
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Apr 3, 2023
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8 changes: 4 additions & 4 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -7,11 +7,11 @@ default_stages:
minimum_pre_commit_version: 2.16.0
repos:
- repo: https://github.com/psf/black
rev: 22.12.0
rev: 23.3.0
hooks:
- id: black
- repo: https://github.com/pre-commit/mirrors-prettier
rev: v3.0.0-alpha.4
rev: v3.0.0-alpha.6
hooks:
- id: prettier
- repo: https://github.com/asottile/blacken-docs
Expand Down Expand Up @@ -43,8 +43,8 @@ repos:
args: [--fix=lf]
- id: trailing-whitespace
- id: check-case-conflict
- repo: https://github.com/myint/autoflake
rev: v2.0.0
- repo: https://github.com/PyCQA/autoflake
rev: v2.0.2
hooks:
- id: autoflake
args:
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8 changes: 2 additions & 6 deletions sobolev_alignment/scvi_model_search.py
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Expand Up @@ -194,10 +194,6 @@ def _objective_function(params):
def split_dataset(data_an, test_size=0.1):
"""Split between training and testing"""
train_data_df, test_data_df = train_test_split(data_an.to_df(), test_size=test_size)
train_data_an = data_an[
train_data_df.index,
]
test_data_an = data_an[
test_data_df.index,
]
train_data_an = data_an[train_data_df.index,]
test_data_an = data_an[test_data_df.index,]
return train_data_an, test_data_an
2 changes: 0 additions & 2 deletions sobolev_alignment/sobolev_alignment.py
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Expand Up @@ -329,7 +329,6 @@ def _train_krr(
frob_norm_source: bool = False,
lib_size_norm: bool = False,
):

if n_krr_clfs == 1:
self.approximate_krr_regressions_[data_source] = self._train_one_krr(
data_source=data_source,
Expand Down Expand Up @@ -702,7 +701,6 @@ def _memmap_log_processing(
unit_std: bool = False,
frob_norm_source: bool = False,
):

# Save embedding
if save_mmap is not None and type(save_mmap) == str:
self._save_mmap = save_mmap
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2 changes: 0 additions & 2 deletions tests/test_krr_approx.py
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Expand Up @@ -176,7 +176,6 @@ def test_laplacian_falkon_fit(self, fit_falkon_laplacian_ridge, valid_input, val
assert pearson_corr[0] > pearson_threshold

def test_ridge_coef_sklearn_fit(self, fit_sklearn_laplacian_ridge, input, valid_input):

pred_reconstruct = fit_sklearn_laplacian_ridge.kernel_(
valid_input, input[fit_sklearn_laplacian_ridge.ridge_samples_idx_, :]
)
Expand All @@ -186,7 +185,6 @@ def test_ridge_coef_sklearn_fit(self, fit_sklearn_laplacian_ridge, input, valid_
)

def test_ridge_coef_falkon_fit(self, fit_falkon_laplacian_ridge, input, valid_input):

pred_reconstruct = fit_falkon_laplacian_ridge.kernel_(valid_input, fit_falkon_laplacian_ridge.anchors())
pred_reconstruct = pred_reconstruct.matmul(fit_falkon_laplacian_ridge.sample_weights_)
np.testing.assert_array_almost_equal(
Expand Down