Setup improvements from updating environments

.gitattributes

@@ -4,6 +4,7 @@
 *.png eol=auto
 *.gif eol=auto
 *.ico eol=auto
+*.whl eol=auto
 # Set linguist-language to support comments syntax highlight
 pyrightconfig*.json linguist-language=jsonc
 .vscode/*.json linguist-language=jsonc

.github/workflows/lint-and-build.yml

@@ -30,6 +30,7 @@ on:
 env:
   GITHUB_HEAD_REPOSITORY: ${{ github.event.pull_request.head.repo.full_name }}
   GITHUB_EXCLUDE_BUILD_NUMBER: ${{ inputs.excludeBuildNumber }}
+  UV_NO_SYNC: true # Avoid accidentally pulling in dependency-groups with uv run
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
@@ -47,14 +48,13 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - name: Set up uv for Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v6
         with:
           enable-cache: true
-          cache-dependency-glob: "uv.lock"
           python-version: ${{ matrix.python-version }}
+          activate-environment: true
       - run: scripts/install.ps1
         shell: pwsh
-      - run: echo "$PWD/.venv/bin" >> $GITHUB_PATH
       - name: Analysing the code with Pyright
         uses: jakebailey/pyright-action@v2
         with:
@@ -66,12 +66,8 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      - name: Set up uv
-        uses: astral-sh/setup-uv@v5
-        with:
-          enable-cache: true
-          cache-dependency-glob: "uv.lock"
-      - run: uvx --with uvloop uv-secure
+      - uses: astral-sh/setup-uv@v6
+      - run: uvx uv-secure[faster-async]
 
   Build:
     runs-on: ${{ matrix.os }}
@@ -84,17 +80,17 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       # region https://github.com/pyinstaller/pyinstaller/issues/9012
-      - name: Set up uv for Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v5
-        with:
-          enable-cache: true
-          cache-dependency-glob: "uv.lock"
-          python-version: ${{ !startsWith(matrix.os, 'ubuntu') && matrix.python-version || null }}
       - name: Set up Python for PyInstaller tk issue
         if: ${{ startsWith(matrix.os, 'ubuntu') }}
         uses: actions/setup-python@v5
         with:
+          allow-prereleases: true
           python-version: ${{ matrix.python-version }}
+      - name: Set up uv for Python ${{ matrix.python-version }}
+        uses: astral-sh/setup-uv@v6
+        with:
+          enable-cache: true
+          python-version: ${{ !startsWith(matrix.os, 'ubuntu') && matrix.python-version || null }}
       # endregion
       - run: scripts/install.ps1
         shell: pwsh

.vscode/extensions.json

@@ -17,8 +17,6 @@
     // GitHub
     "bierner.github-markdown-preview",
     "github.vscode-github-actions",
-    // Dotenv
-    "dotenv.dotenv-vscode",
     // Python/TOML
     "charliermarsh.ruff",
     "ms-python.mypy-type-checker",

docs/tutorial.md

@@ -33,7 +33,7 @@
 
 #### Comparison Method
 
-- There are three comparison methods to choose from: L2 Norm, Histograms, and Perceptual Hash (or pHash).
+- There are three comparison methods to choose from: L2 Norm, Histograms, and Perceptual Hash (aka pHash).
   - L2 Norm: This method should be fine to use for most cases. It finds the difference between each pixel, squares it, sums it over the entire image and takes the square root. This is very fast but is a problem if your image is high frequency. Any translational movement or rotation can cause similarity to be very different.
   - Histograms: An explanation on Histograms comparison can be found [here](https://mpatacchiola.github.io/blog/2016/11/12/the-simplest-classifier-histogram-intersection.html). This is a great method to use if you are using several masked images.
     > This algorithm is particular reliable when the colour is a strong predictor of the object identity. The histogram intersection [...] is robust to occluding objects in the foreground.

pyproject.toml

@@ -7,7 +7,7 @@ dependencies = [
   "Levenshtein >=0.25",
   "PyAutoGUI >=0.9.52",
   "PyWinCtl >=0.0.42", # py.typed
-  "keyboard", # [see tool.uv.sources]
+  "keyboard @ git+https://github.com/boppreh/keyboard.git", # Fix install on macos and linux-ci https://github.com/boppreh/keyboard/pull/568
   "numpy >=2.1", # Python 3.13 support
   "opencv-python-headless >=4.10", # NumPy 2 support
   "packaging >=20.0", # py.typed
@@ -19,10 +19,10 @@ dependencies = [
 
   #
   # Build and compile resources
-  "pyinstaller >=6.12.0", # Build fix for built-in _tkinter (splash screen)
+  "pyinstaller >=6.14.0", # Mitigate issues with pkg_resources deprecation warning
 
   #
-  # https://peps.python.org/pep-0508/#environment-markers
+  # https://packaging.python.org/en/latest/specifications/dependency-specifiers/#environment-markers
   #
   # Windows-only dependencies:
   "pygrabber >=0.2; sys_platform == 'win32'", # Completed types
@@ -39,7 +39,6 @@ dependencies = [
   #
   # Linux-only dependencies
   "PyScreeze >=1.0.0; sys_platform == 'linux'",
-  "dprint-py>=0.50.0.0",
   "pillow >=11.0; sys_platform == 'linux'", # Python 3.13 support # Necessary for PyScreeze/ImageGrab.
   "python-xlib >=0.33; sys_platform == 'linux'",
 ]
@@ -50,12 +49,10 @@ dev = [
   "qt6-applications >=6.5.0",
   #
   # Linters & Formatters
+  "dprint-py>=0.50.0.0",
   "mypy[faster-cache] >=1.16",
   "pyright[nodejs] >=1.1.400", # reportPrivateImportUsage behaviour change
   "ruff >=0.11.13",
-  "uv-secure",
-  "uvloop; sys_platform != 'win32'",
-  "winloop; sys_platform == 'win32'",
   #
   # Types
   "scipy-stubs >=1.14.1.1",
@@ -78,8 +75,6 @@ dependency-metadata = [
   { name = "PyAutoGUI", requires-dist = [] },
   { name = "types-PyAutoGUI", requires-dist = [] },
 ]
-[tool.uv.sources]
-keyboard = { git = "https://github.com/boppreh/keyboard.git" } # Fix install on macos and linux-ci https://github.com/boppreh/keyboard/pull/568
 
 [tool.uv-secure.maintainability_criteria]
 forbid_yanked = true

src/compare.py

@@ -125,7 +125,7 @@ def compare_phash(source: MatLike, capture: MatLike, mask: MatLike | None = None
     # Apply the mask to the source and capture before calculating the
     # pHash for each of the images. As a result of this, this function
     # is not going to be very helpful for large masks as the images
-    # when shrinked down to 8x8 will mostly be the same.
+    # when shrunk down to 8x8 will mostly be the same.
     if is_valid_image(mask):
         source = cv2.bitwise_and(source, source, mask=mask)
         capture = cv2.bitwise_and(capture, capture, mask=mask)