[MAINT] Support python 3.12 (aramis-lab#667)

* support Python 3.12 * run unit tests on Python 3.12 * update dependencies to be compatible with 3.12 * bump torch * use np.prod instead of np.product which was removed in Numpy 2
camillebrianceau · Jan 2, 2025 · b8547bc · b8547bc
1 parent a799f93
commit b8547bc
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diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
@@ -17,11 +17,15 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, macos-latest]
+<<<<<<< HEAD
 <<<<<<< HEAD
         python-version: [ '3.9', '3.10', '3.11', '3.12']
 =======
         python-version: ['3.9', '3.10', '3.11']
 >>>>>>> 78ccf96c ([MAINT] Drop python 3.8 (#663))
+=======
+        python-version: ['3.9', '3.10', '3.11', '3.12']
+>>>>>>> 3c40944b ([MAINT] Support python `3.12` (#667))
     steps:
       - uses: actions/checkout@v4
       - uses: snok/install-poetry@v1

diff --git a/clinicadl/networks/old_network/cnn/random.py b/clinicadl/networks/old_network/cnn/random.py
@@ -208,7 +208,7 @@ def fc_dict_design(n_fcblocks, convolutions, initial_shape, n_classes=2):
         out_channels = last_conv["out_channels"]
         flattened_shape = np.ceil(np.array(initial_shape) / 2**n_conv)
         flattened_shape[0] = out_channels
-        in_features = np.product(flattened_shape)
+        in_features = np.prod(flattened_shape)
 
         # Sample number of FC layers
         ratio = (in_features / n_classes) ** (1 / n_fcblocks)

diff --git a/poetry.lock b/poetry.lock
diff --git a/pyproject.toml b/pyproject.toml
@@ -28,12 +28,17 @@ classifiers = [
 
 [tool.poetry.dependencies]
 <<<<<<< HEAD
+<<<<<<< HEAD
 python = ">=3.9,<3.13"
 torch = "^2.3.0"
 =======
 python = ">=3.9,<3.12"
 torch = "^2.1.0"
 >>>>>>> 78ccf96c ([MAINT] Drop python 3.8 (#663))
+=======
+python = ">=3.9,<3.13"
+torch = "^2.3.0"
+>>>>>>> 3c40944b ([MAINT] Support python `3.12` (#667))
 torchvision = "*"
 tensorboard = "*"
 toml = "*"