Dev

.github/workflows/cd.yaml

@@ -58,7 +58,7 @@ jobs:
           ls -ltrh
           ls -ltrh dist
       - name: Publish to Test PyPI
-        uses: pypa/[email protected].2
+        uses: pypa/[email protected].3
         with:
           repository-url: https://test.pypi.org/legacy/
           verbose: true
@@ -96,5 +96,5 @@ jobs:
           name: artifact
           path: dist
 
-      - uses: pypa/[email protected].2
+      - uses: pypa/[email protected].3
         if: startsWith(github.ref, 'refs/tags')

.pre-commit-config.yaml

@@ -57,7 +57,7 @@ repos:
   #       args: ["--fix", "--show-fixes"]
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v1.13.0"
+    rev: "v1.14.1"
     hooks:
       - id: mypy
         files: src

astrophot/models/_shared_methods.py

@@ -180,7 +180,7 @@ def parametric_segment_initialize(
         return
     # Get the sub-image area corresponding to the model image
     target_area = target[model.window]
-    target_dat = target_area.data.detach().cpu().numpy()
+    target_dat = target_area.data.detach().cpu().numpy().copy()
     if target_area.has_mask:
         mask = target_area.mask.detach().cpu().numpy()
         target_dat[mask] = np.median(target_dat[np.logical_not(mask)])
@@ -477,7 +477,7 @@ def spline_segment_initialize(
 
     profR = parameters["I(R)"].prof.detach().cpu().numpy()
     target_area = target[self.window]
-    target_dat = target_area.data.detach().cpu().numpy()
+    target_dat = target_area.data.detach().cpu().numpy().copy()
     if target_area.has_mask:
         mask = target_area.mask.detach().cpu().numpy()
         target_dat[mask] = np.median(target_dat[np.logical_not(mask)])
@@ -578,7 +578,7 @@ def relspline_initialize(self, target=None, parameters=None, **kwargs):
     super(self.__class__, self).initialize(target=target, parameters=parameters)
 
     target_area = target[self.window]
-    target_dat = target_area.data.detach().cpu().numpy()
+    target_dat = target_area.data.detach().cpu().numpy().copy()
     if target_area.has_mask:
         mask = target_area.mask.detach().cpu().numpy()
         target_dat[mask] = np.median(target_dat[np.logical_not(mask)])

astrophot/models/galaxy_model_object.py

@@ -63,7 +63,7 @@ def initialize(self, target=None, parameters: Optional[Parameter_Node] = None, *
         if not (parameters["PA"].value is None or parameters["q"].value is None):
             return
         target_area = target[self.window]
-        target_dat = target_area.data.detach().cpu().numpy()
+        target_dat = target_area.data.detach().cpu().numpy().copy()
         if target_area.has_mask:
             mask = target_area.mask.detach().cpu().numpy()
             target_dat[mask] = np.median(target_dat[np.logical_not(mask)])

astrophot/models/multi_gaussian_expansion_model.py

@@ -62,7 +62,7 @@ def initialize(self, target=None, parameters=None, **kwargs):
         super().initialize(target=target, parameters=parameters)
 
         target_area = target[self.window]
-        target_dat = target_area.data.detach().cpu().numpy()
+        target_dat = target_area.data.detach().cpu().numpy().copy()
         if target_area.has_mask:
             mask = target_area.mask.detach().cpu().numpy()
             target_dat[mask] = np.median(target_dat[np.logical_not(mask)])

astrophot/models/point_source.py

@@ -47,7 +47,7 @@ def initialize(self, target=None, parameters=None, **kwargs):
         if parameters["flux"].value is not None:
             return
         target_area = target[self.window]
-        target_dat = target_area.data.detach().cpu().numpy()
+        target_dat = target_area.data.detach().cpu().numpy().copy()
         with Param_Unlock(parameters["flux"]), Param_SoftLimits(parameters["flux"]):
             icenter = target_area.plane_to_pixel(parameters["center"].value)
             edge = np.concatenate(