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Update black formatting
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-8
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7 files changed

+17
-8
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.pre-commit-config.yaml

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repos:
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- repo: https://github.com/psf/black
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rev: 21.12b0
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rev: 22.3.0
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hooks:
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- id: black
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args: [ --config=pyproject.toml ]

README.md

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@@ -429,7 +429,7 @@ $ pip install git+https://github.com/qubvel/segmentation_models.pytorch
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##### Install linting and formatting pre-commit hooks
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```bash
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pip install pre-commit black flake8
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pip install pre-commit black==22.3.0 flake8==4.0.1
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pre-commit install
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```
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segmentation_models_pytorch/encoders/_base.py

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@property
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def output_stride(self):
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return min(self._output_stride, 2 ** self._depth)
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return min(self._output_stride, 2**self._depth)
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def set_in_channels(self, in_channels, pretrained=True):
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"""Change first convolution channels"""

segmentation_models_pytorch/encoders/timm_universal.py

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@property
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def output_stride(self):
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return min(self._output_stride, 2 ** self._depth)
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return min(self._output_stride, 2**self._depth)

segmentation_models_pytorch/metrics/functional.py

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def _fbeta_score(tp, fp, fn, tn, beta=1):
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beta_tp = (1 + beta ** 2) * tp
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beta_fn = (beta ** 2) * fn
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beta_tp = (1 + beta**2) * tp
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beta_fn = (beta**2) * fn
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score = beta_tp / (beta_tp + beta_fn + fp)
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return score
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segmentation_models_pytorch/utils/functional.py

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@@ -58,7 +58,7 @@ def f_score(pr, gt, beta=1, eps=1e-7, threshold=None, ignore_channels=None):
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fp = torch.sum(pr) - tp
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fn = torch.sum(gt) - tp
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score = ((1 + beta ** 2) * tp + eps) / ((1 + beta ** 2) * tp + beta ** 2 * fn + fp + eps)
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score = ((1 + beta**2) * tp + eps) / ((1 + beta**2) * tp + beta**2 * fn + fp + eps)
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return score
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setup.py

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REQUIRED = []
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# What packages are optional?
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EXTRAS = {"test": ["pytest", "mock", "pre-commit", "flake8==4.0.1", "flake8-docstrings==1.6.0"]}
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EXTRAS = {
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"test": [
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"pytest",
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"mock",
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"pre-commit",
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"black==22.3.0",
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"flake8==4.0.1",
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"flake8-docstrings==1.6.0",
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],
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}
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# Import the README and use it as the long-description.
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# Note: this will only work if 'README.md' is present in your MANIFEST.in file!

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