Merge pull request #10 from pynbody/wgpu-0.15

Update for webgpu 0.15

pyproject.toml

@@ -22,7 +22,7 @@ dependencies = [
     "pynbody >=1.3.0",
     "matplotlib >=3.6.0",
     "pillow >=9.5.0", # 9.5.0 needed for Image.frombytes accepting memoryview
-    "wgpu == 0.13.0",
+    "wgpu ~= 0.15",
     "jupyter_rfb >=0.4.1",
     "tqdm >=4.62.0",
     "opencv-python >=4.8.0",

src/topsy/canvas/__init__.py

@@ -113,7 +113,22 @@ def call_later(cls, delay, fn, *args):
 # Note also that is_jupyter as implemented fails to distinguish correctly if we are
 # running inside a kernel that isn't attached to a notebook. There doesn't seem to
 # be any way to distinguish this, so we live with it for now.
-from wgpu.gui.auto import is_jupyter
+
+def is_jupyter():
+    """Determine whether the user is executing in a Jupyter Notebook / Lab.
+
+    This has been pasted from an old version of wgpu.gui.auto.is_jupyter; the function was removed"""
+    from IPython import get_ipython
+    try:
+        ip = get_ipython()
+        if ip is None:
+            return False
+        if ip.has_trait("kernel"):
+            return True
+        else:
+            return False
+    except NameError:
+        return False
 
 
 if is_jupyter():

src/topsy/visualizer.py

@@ -80,7 +80,7 @@ def _setup_wgpu(self):
         self.adapter: wgpu.GPUAdapter = wgpu.gpu.request_adapter(power_preference="high-performance")
         if self.device is None:
             type(self).device: wgpu.GPUDevice = self.adapter.request_device(
-                required_features=["TEXTURE_ADAPTER_SPECIFIC_FORMAT_FEATURES"])
+                required_features=["TextureAdapterSpecificFormatFeatures", "float32-filterable"])
         self.context: wgpu.GPUCanvasContext = self.canvas.get_context()
         self.canvas_format = self.context.get_preferred_format(self.adapter)
         if self.canvas_format.endswith("-srgb"):