Merge pull request #5 from utkarshayachit/fixes

Fixes
utkarshayachit · Nov 22, 2023 · 18045a6 · 18045a6
2 parents 53c5aa6 + 61ec001
commit 18045a6
Show file tree

Hide file tree

Showing 3 changed files with 29 additions and 4 deletions.
diff --git a/pyproject.toml b/pyproject.toml
@@ -4,9 +4,32 @@ version = "0.1.0"
 description = "Data Visualization Application"
 requires-python = ">=3.7"
 dependencies = [
-    "trame<3",
-    "sympy>=1.11",
+    "aiohttp==3.8.5",
+    "aiosignal==1.3.1",
+    "async-timeout==4.0.3",
+    "attrs==23.1.0",
+    "charset-normalizer==3.3.0",
+    "idna==3.4",
+    "mpmath==1.3.0",
+    "multidict==6.0.4",
     "quantiphy==2.19",
+    "sympy==1.12",
+    "trame==2.5.2",
+    "trame-client==2.12.0",
+    "trame-components==2.2.1",
+    "trame-deckgl==2.0.2",
+    "trame-markdown==2.0.2",
+    "trame-matplotlib==2.0.2",
+    "trame-plotly==2.1.1",
+    "trame-rca==0.4.0",
+    "trame-router==2.1.0",
+    "trame-server==2.12.0",
+    "trame-simput==2.3.3",
+    "trame-vega==2.0.3",
+    "trame-vtk==2.5.8",
+    "trame-vuetify==2.3.1",
+    "wslink==1.12.2",
+    "yarl==1.9.2",
 ]
 
 [project.optional-dependencies]

diff --git a/vizer/views/quad.py b/vizer/views/quad.py
@@ -601,7 +601,8 @@ def update_color_map(self):
             if drange[0] != drange[1]:
                 ds = dsa.WrapDataObject(self.dataset)
                 array = ds.PointData[self.get_scalar_name()]
-                drange = [numpy.percentile(array, 5), numpy.percentile(array, 95)]
+                percentiles = numpy.percentile(array, [5, 95])
+                drange = [percentiles[0], percentiles[1]]
             log.info('5/95 percentile: %f/%f', drange[0], drange[1])
             self._lut.InterpretValuesAsCategories = False
             self._lut.ApplyPreset('Grayscale', True)

diff --git a/vizer/views/segmentation_v2.py b/vizer/views/segmentation_v2.py
@@ -619,7 +619,8 @@ def update_color_map(self):
             if drange[0] != drange[1]:
                 ds = dsa.WrapDataObject(self.dataset)
                 array = ds.PointData[self.get_scalar_name()]
-                drange = [numpy.percentile(array, 5), numpy.percentile(array, 95)]
+                percentiles =numpy.percentile(array, [5, 95])
+                drange = [percentiles[0], percentiles[1]]
             log.info('5/95 percentile: %f/%f', drange[0], drange[1])
             self._lut.InterpretValuesAsCategories = False
             self._lut.ApplyPreset('Grayscale', True)