Remove naive scaling logic

CellProfiler · Dec 10, 2024 · eeb8c2e · eeb8c2e
1 parent 0c62726
commit eeb8c2e
Showing 1 changed file with 0 additions and 12 deletions.
diff --git a/src/subpackages/core/cellprofiler_core/image/abstract_image/file/_file_image.py b/src/subpackages/core/cellprofiler_core/image/abstract_image/file/_file_image.py
@@ -230,18 +230,6 @@ def normalize_to_float32(data, in_range=None, wants_inscale=False):
             return data, scale
         return data
 
-    # TODO - 4955: Temporary. This needs to be fixed, it is currently very naive
-    @staticmethod
-    def naive_scale(data):
-        if numpy.issubdtype(data.dtype, numpy.integer):
-            scale = numpy.iinfo(data.dtype).max
-        elif numpy.issubdtype(data.dtype, numpy.floating): # assume
-            # assume float is already normalized
-            scale = 1
-        else:
-            raise NotImplementedError(f"Unsupported dtype: {data.dtype}")
-        return scale
-
     @property
     def series(self):
         return self.__series