removed versions to let pip handle it. removed 3.9 from support.

.github/workflows/python-package.yml

@@ -16,7 +16,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
 
     steps:
     - uses: actions/checkout@v3

noxfile.py

@@ -0,0 +1,6 @@
+import nox
+
+@nox.session(python=['3.10', '3.11', '3.12', '3.13'])
+def tests(session):
+    session.install('--ignore-requires-python','.[test]')
+    session.run('pytest', '.')

pyproject.toml

@@ -10,17 +10,22 @@ authors = [
 ]
 description = "A Python CLI tool for sorting pixels in images."
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
+license = {file = "LICENSE"}
 classifiers = [
     "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "License :: OSI Approved :: MIT License",
     "Operating System :: OS Independent",
 ]
 dependencies = [
-    'numpy>=1.26.4,<2.2.0',
-    'scipy>=1.12.0',
-    'opencv-python>=4.8.1.78',
-    'filetype~=1.2.0'
+    'numpy',
+    'scipy',
+    'opencv-python',
+    'filetype'
 ]
 
 [project.urls]
@@ -32,7 +37,7 @@ pixelsort = "pixelsort.__main__:main"
 
 [project.optional-dependencies]
 test = [
-    'pytest>=7.3.2,<8.4.0'
+    'pytest',
 ]
 
 [tool.pytest.ini_options]
@@ -41,3 +46,12 @@ addopts = "-ra -q"
 testpaths = [
     "tests"
 ]
+
+# [tool.tox]
+# requires = ["tox>=4.19"]
+# env_list = ["py313", "py312", "py311", "py310", "local"]
+
+# [tool.tox.env_run_base]
+# description = "Run test under {base_python}"
+# commands = [["pytest"]]
+# allowlist_externals = ["pytest"]

src/pixelsort/image.py

@@ -100,8 +100,10 @@ def create_contrast_mask(image: np.ndarray, threshold: float) -> np.ndarray:
     gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
     mean, std = cv2.meanStdDev(gray_image)
     # Calculate the lower and upper threshold values
-    lower_thresh = int(mean - threshold * std)
-    upper_thresh = int(mean + threshold * std)
+    # Conversion of an array with ndim > 0 to a scalar is deprecated. 
+    # Using .item() to extract to single value.
+    lower_thresh = int(mean.item() - threshold * std.item())
+    upper_thresh = int(mean.item() + threshold * std.item())
     # generate mask
     contrast: np.ndarray = cv2.inRange(gray_image, lower_thresh, upper_thresh)
     return contrast