minor cleanup

Author: letmaik

.github/workflows/ci.yml

@@ -580,7 +580,7 @@ jobs:
       with:
         path: dist-docs/
 
-  publish-wheels:
+  publish-dist:
     runs-on: ubuntu-latest
 
     needs: [test, test-sdist, test-system-libraw, docs]
@@ -617,7 +617,7 @@ jobs:
   publish-docs:
     runs-on: ubuntu-latest
 
-    needs: [publish-wheels]
+    needs: [publish-dist]
 
     permissions:
       pages: write      # to deploy to Pages

pyproject.toml

@@ -18,7 +18,7 @@ readme = "README.md"
 authors = [
   {name = "Maik Riechert"}
 ]
-license = {text = "MIT"}
+license = "MIT"
 classifiers = [
     "Development Status :: 4 - Beta",
     "Intended Audience :: Developers",
@@ -45,6 +45,10 @@ dependencies = [
 
 [project.urls]
 Homepage = "https://github.com/letmaik/rawpy"
+Documentation = "https://letmaik.github.io/rawpy/"
+Repository = "https://github.com/letmaik/rawpy.git"
+Issues = "https://github.com/letmaik/rawpy/issues"
+Changelog = "https://github.com/letmaik/rawpy/releases"
 
 [project.optional-dependencies]
 test = [

rawpy/_rawpy.pyx

@@ -7,10 +7,9 @@ from __future__ import print_function
 from typing import Optional, Union, Tuple, List, Any, BinaryIO
 from numpy.typing import NDArray
 
-from cpython.ref cimport PyObject, Py_INCREF
+from cpython.ref cimport Py_INCREF
 from cpython.bytes cimport PyBytes_FromStringAndSize
 from cpython.mem cimport PyMem_Free
-from cython.operator cimport dereference as deref
 from libc.stddef cimport wchar_t
 
 import numpy as np
@@ -19,8 +18,6 @@ cimport numpy as np
 np.import_array()
 
 import os
-import sys
-import warnings
 from enum import Enum
 
 cdef extern from "limits.h":
@@ -1323,9 +1320,4 @@ cdef class processed_image_wrapper:
 
     def __dealloc__(self):
         self.raw.p.dcraw_clear_mem(self.processed_image)        
-    
-def _chars(s):
-    if isinstance(s, unicode):
-        # convert unicode to chars
-        s = (<unicode>s).encode('UTF-8')
-    return s
+    

rawpy/enhance.py

@@ -11,7 +11,7 @@
 import numpy as np
 from numpy.typing import NDArray
 
-from typing import Optional, Callable, Any, TYPE_CHECKING, cast
+from typing import Optional, Callable, Any, cast
 
 try:
     from skimage.filters.rank import median as median_func
@@ -136,7 +136,6 @@ def _find_bad_pixel_candidates_generic(raw, isCandidateFn):
         # There exist O(log(r)) and O(1) algorithms, see https://nomis80.org/ctmf.pdf.
         # Also, we only need the median values for the masked pixels.
         # Currently, they are calculated for all pixels for each color.
-        assert median_func is not None
         med = median_func(rawimg, kernel, mask=mask)
 
         # detect possible bad pixels
@@ -254,7 +253,6 @@ def _repair_bad_pixels_generic(raw, coords, method='median'):
             # bad pixels won't influence the median in most cases and just using
             # the color mask prevents bad pixel clusters from producing
             # bad interpolated values (NaNs)
-            assert median_func is not None
             smooth = median_func(rawimg, kernel, mask=color_mask)
         else:
             raise ValueError