chore: update README

.github/workflows/build-and-draft-release.yml

@@ -1,39 +0,0 @@
-name: "Build and draft a release"
-
-on:
-  workflow_dispatch:
-  push:
-    tags:
-      - '*.*.*'
-
-permissions:
-  contents: write
-  discussions: write
-
-jobs:
-  build-and-draft-release:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python environment
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.x"
-
-      - name: Build package
-        run: |
-          pip install build
-          python -m build
-
-      - name: Draft a release
-        uses: softprops/action-gh-release@v2
-        with:
-          discussion_category_name: New releases
-          draft: true
-          generate_release_notes: true
-          files: |
-            dist/*

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

@@ -0,0 +1,103 @@
+name: Build, Release, Publish
+
+on:
+  workflow_dispatch:
+  push:
+    tags:
+      - "*.*.*"
+
+jobs:
+  build:
+    name: Build package
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Set up Python environment
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.x"
+
+      - name: Build package
+        run: |
+          pip install build
+          python -m build
+
+      - name: Store the distribution files
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+  draft-release:
+    name: Draft a release
+    runs-on: ubuntu-latest
+    needs:
+      - build
+    permissions:
+      contents: write
+      discussions: write
+
+    steps:
+      - name: Download the distribution files
+        uses: actions/download-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+      - name: Draft a release
+        uses: softprops/action-gh-release@v2
+        with:
+          discussion_category_name: New releases
+          draft: true
+          generate_release_notes: true
+          files: |
+            dist/*
+
+  publish-to-pypi:
+    name: Publish distribution to PyPI
+    runs-on: ubuntu-latest
+    if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes
+    needs:
+      - build
+    environment:
+      name: pypi
+      url: https://pypi.org/p/arcaea-offline-ocr
+    permissions:
+      id-token: write
+
+    steps:
+      - name: Download the distribution files
+        uses: actions/download-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+      - name: Publish distribution to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+
+  publish-to-testpypi:
+    name: Publish distribution to TestPyPI
+    runs-on: ubuntu-latest
+    needs:
+      - build
+    environment:
+      name: testpypi
+      url: https://test.pypi.org/p/arcaea-offline-ocr
+    permissions:
+      id-token: write
+
+    steps:
+      - name: Download the distribution files
+        uses: actions/download-artifact@v4
+        with:
+          name: python-package-distributions
+          path: dist/
+
+      - name: Publish distribution to TestPyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          repository-url: https://test.pypi.org/legacy/

README.md

@@ -1,32 +1,152 @@
 # Arcaea Offline OCR
 
+[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
+
 ## Example
 
+> Results from `arcaea_offline_ocr 0.1.0a2`
+
+### Build an image hash database (ihdb)
+
 ```py
+import sqlite3
+from pathlib import Path
+
 import cv2
-from arcaea_offline_ocr.device.ocr import DeviceOcr
-from arcaea_offline_ocr.device.rois.definition import DeviceRoisAutoT2
-from arcaea_offline_ocr.device.rois.extractor import DeviceRoisExtractor
-from arcaea_offline_ocr.device.rois.masker import DeviceRoisMaskerAutoT2
-from arcaea_offline_ocr.phash_db import ImagePhashDatabase
 
-img_path = "/path/to/opencv/supported/image/formats.jpg"
-img = cv2.imread(img_path, cv2.IMREAD_COLOR)
+from arcaea_offline_ocr.builders.ihdb import (
+    ImageHashDatabaseBuildTask,
+    ImageHashesDatabaseBuilder,
+)
+from arcaea_offline_ocr.providers import ImageCategory, ImageHashDatabaseIdProvider
+from arcaea_offline_ocr.scenarios.device import DeviceScenario
 
-rois = DeviceRoisAutoT2(img.shape[1], img.shape[0])
-extractor = DeviceRoisExtractor(img, rois)
-masker = DeviceRoisMaskerAutoT2()
+def build():
+    def _read_partner_icon(image_path: str):
+        return DeviceScenario.preprocess_char_icon(
+            cv2.cvtColor(cv2.imread(image_path, cv2.IMREAD_COLOR), cv2.COLOR_BGR2GRAY),
+        )
 
-knn_model = cv2.ml.KNearest.load("/path/to/trained/knn/model.dat")
-phash_db = ImagePhashDatabase("/path/to/image/phash/database.db")
+    builder = ImageHashesDatabaseBuilder()
+    tasks = [
+        ImageHashDatabaseBuildTask(
+            image_path=str(file),
+            image_id=file.stem,
+            category=ImageCategory.JACKET,
+        )
+        for file in Path("/path/to/some/jackets").glob("*.jpg")
+    ]
 
-ocr = DeviceOcr(extractor, masker, knn_model, phash_db)
-print(ocr.ocr())
+    tasks.extend(
+        [
+            ImageHashDatabaseBuildTask(
+                image_path=str(file),
+                image_id=file.stem,
+                category=ImageCategory.PARTNER_ICON,
+                imread_function=_read_partner_icon,
+            )
+            for file in Path("/path/to/some/partner_icons").glob("*.png")
+        ],
+    )
+
+    with sqlite3.connect("/path/to/ihdb-X.Y.Z.db") as conn:
+        builder.build(conn, tasks)
 ```
 
-```sh
-$ python example.py
-DeviceOcrResult(rating_class=2, pure=1135, far=11, lost=0, score=9953016, max_recall=1146, song_id='ringedgenesis', song_id_possibility=0.953125, clear_status=2, partner_id='45', partner_id_possibility=0.8046875)
+### Device OCR
+
+```py
+import json
+import sqlite3
+from dataclasses import asdict
+
+import cv2
+
+from arcaea_offline_ocr.providers import (
+    ImageHashDatabaseIdProvider,
+    OcrKNearestTextProvider,
+)
+from arcaea_offline_ocr.scenarios.device import (
+    DeviceRoisAutoT2,
+    DeviceRoisExtractor,
+    DeviceRoisMaskerAutoT2,
+    DeviceScenario,
+)
+
+
+with sqlite3.connect("/path/to/ihdb-X.Y.Z.db") as conn:
+    img = cv2.imread("/path/to/your/screenshot.jpg")
+    h, w = img.shape[:2]
+
+    r = DeviceRoisAutoT2(w, h)
+    m = DeviceRoisMaskerAutoT2()
+    e = DeviceRoisExtractor(img, r)
+
+    scenario = DeviceScenario(
+        extractor=e,
+        masker=m,
+        knn_provider=OcrKNearestTextProvider(
+            cv2.ml.KNearest.load("/path/to/knn_model.dat"),
+        ),
+        image_id_provider=ImageHashDatabaseIdProvider(conn),
+    )
+    result = scenario.result()
+
+    with open("result.jsonc", "w", encoding="utf-8") as jf:
+        json.dump(asdict(result), jf, indent=2, ensure_ascii=False)
+```
+
+```jsonc
+// result.json
+{
+  "song_id": "vector",
+  "rating_class": 1,
+  "score": 9990996,
+  "song_id_results": [
+    {
+      "image_id": "vector",
+      "category": 0,
+      "confidence": 1.0,
+      "image_hash_type": 0
+    },
+    {
+      "image_id": "clotho",
+      "category": 0,
+      "confidence": 0.71875,
+      "image_hash_type": 0
+    }
+    // 28 more results omitted…
+  ],
+  "partner_id_results": [
+    {
+      "image_id": "23",
+      "category": 1,
+      "confidence": 0.90625,
+      "image_hash_type": 0
+    },
+    {
+      "image_id": "45",
+      "category": 1,
+      "confidence": 0.8828125,
+      "image_hash_type": 0
+    }
+    // 28 more results omitted…
+  ],
+  "pure": 1000,
+  "pure_inaccurate": null,
+  "pure_early": null,
+  "pure_late": null,
+  "far": 2,
+  "far_inaccurate": null,
+  "far_early": null,
+  "far_late": null,
+  "lost": 0,
+  "played_at": null,
+  "max_recall": 1002,
+  "clear_status": 2,
+  "clear_type": null,
+  "modifier": null
+}
 ```
 
 ## License
@@ -48,4 +168,4 @@ along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 ## Credits
 
-[283375/image-phash-database](https://github.com/283375/image-phash-database)
+- [JohannesBuchner/imagehash](https://github.com/JohannesBuchner/imagehash): `arcaea_offline_ocr.core.hashers` implementations reference

pyproject.toml

@@ -10,32 +10,24 @@ authors = [{ name = "283375", email = "log_283375@163.com" }]
 description = "Extract your Arcaea play result from screenshot."
 readme = "README.md"
 requires-python = ">=3.8"
-dependencies = ["attrs==23.1.0", "numpy==1.26.1", "opencv-python==4.8.1.78"]
+dependencies = ["numpy~=2.3", "opencv-python~=4.11"]
 classifiers = [
   "Development Status :: 3 - Alpha",
   "Programming Language :: Python :: 3",
 ]
 
+[project.optional-dependencies]
+dev = ["ruff", "pre-commit"]
+
 [project.urls]
 "Homepage" = "https://github.com/ArcaeaOffline/core-ocr"
 "Bug Tracker" = "https://github.com/ArcaeaOffline/core-ocr/issues"
 
 [tool.setuptools_scm]
 
-[tool.isort]
-profile = "black"
-src_paths = ["src/arcaea_offline_ocr"]
-
 [tool.pyright]
 ignore = ["**/__debug*.*"]
 
-[tool.pylint.main]
-# extension-pkg-allow-list = ["cv2"]
-generated-members = ["cv2.*"]
-
-[tool.pylint.logging]
-disable = [
-  "missing-module-docstring",
-  "missing-class-docstring",
-  "missing-function-docstring",
-]
+[tool.ruff.lint]
+select = ["ALL"]
+ignore = ["ANN", "D", "ERA", "PLR"]

requirements.dev.txt

@@ -1,3 +1,2 @@
-black==23.7.0
-isort==5.12.0
-pre-commit==3.3.3
+ruff
+pre-commit

src/arcaea_offline_ocr/builders/ihdb.py

@@ -1,11 +1,12 @@
+from __future__ import annotations
+
 from dataclasses import dataclass
 from datetime import datetime, timezone
-from typing import TYPE_CHECKING, Callable, List
+from typing import TYPE_CHECKING, Callable
 
 import cv2
 
 from arcaea_offline_ocr.core import hashers
-from arcaea_offline_ocr.providers import ImageCategory
 from arcaea_offline_ocr.providers.ihdb import (
     PROP_KEY_BUILT_AT,
     PROP_KEY_HASH_SIZE,
@@ -17,6 +18,7 @@ from arcaea_offline_ocr.providers.ihdb import (
 if TYPE_CHECKING:
     from sqlite3 import Connection
 
+    from arcaea_offline_ocr.providers import ImageCategory
     from arcaea_offline_ocr.types import Mat
 
 
@@ -29,7 +31,7 @@ class ImageHashDatabaseBuildTask:
     image_path: str
     image_id: str
     category: ImageCategory
-    imread_function: Callable[[str], "Mat"] = _default_imread_gray
+    imread_function: Callable[[str], Mat] = _default_imread_gray
 
 
 @dataclass
@@ -42,7 +44,7 @@ class _ImageHash:
 
 class ImageHashesDatabaseBuilder:
     @staticmethod
-    def __insert_property(conn: "Connection", key: str, value: str):
+    def __insert_property(conn: Connection, key: str, value: str):
         return conn.execute(
             "INSERT INTO properties (key, value) VALUES (?, ?)",
             (key, value),
@@ -51,13 +53,13 @@ class ImageHashesDatabaseBuilder:
     @classmethod
     def build(
         cls,
-        conn: "Connection",
-        tasks: List[ImageHashDatabaseBuildTask],
+        conn: Connection,
+        tasks: list[ImageHashDatabaseBuildTask],
         *,
         hash_size: int = 16,
         high_freq_factor: int = 4,
     ):
-        hashes: List[_ImageHash] = []
+        hashes: list[_ImageHash] = []
 
         for task in tasks:
             img_gray = task.imread_function(task.image_path)
@@ -82,7 +84,7 @@ class ImageHashesDatabaseBuilder:
                         image_hash_type=hash_type,
                         category=task.category,
                         hash=ImageHashDatabaseIdProvider.hash_mat_to_bytes(hash_mat),
-                    )
+                    ),
                 )
 
         conn.execute("CREATE TABLE properties (`key` VARCHAR, `value` VARCHAR)")
@@ -92,7 +94,7 @@ class ImageHashesDatabaseBuilder:
 `category` INTEGER,
 `hash_type` INTEGER,
 `hash` BLOB
-)"""
+)""",
         )
 
         now = datetime.now(tz=timezone.utc)
@@ -103,7 +105,8 @@ class ImageHashesDatabaseBuilder:
         cls.__insert_property(conn, PROP_KEY_BUILT_AT, str(timestamp))
 
         conn.executemany(
-            "INSERT INTO hashes (`id`, `category`, `hash_type`, `hash`) VALUES (?, ?, ?, ?)",
+            """INSERT INTO hashes (`id`, `category`, `hash_type`, `hash`)
+                            VALUES (?, ?, ?, ?)""",
             [
                 (it.image_id, it.category.value, it.image_hash_type.value, it.hash)
                 for it in hashes

src/arcaea_offline_ocr/core/hashers/index.py

@@ -23,7 +23,7 @@ def difference(img_gray: Mat, hash_size: int) -> Mat:
 
 
 def dct(img_gray: Mat, hash_size: int = 16, high_freq_factor: int = 4) -> Mat:
-    # TODO: consistency?
+    # TODO: consistency?  # noqa: FIX002, TD002, TD003
     img_size_base = hash_size * high_freq_factor
     img_size = (img_size_base, img_size_base)
 

src/arcaea_offline_ocr/crop.py

@@ -1,29 +1,32 @@
+from __future__ import annotations
+
 import math
-from typing import Tuple
+from typing import TYPE_CHECKING
 
 import cv2
 import numpy as np
 
-from .types import Mat
+if TYPE_CHECKING:
+    from .types import Mat
 
-__all__ = ["crop_xywh", "CropBlackEdges"]
+__all__ = ["CropBlackEdges", "crop_xywh"]
 
 
-def crop_xywh(mat: Mat, rect: Tuple[int, int, int, int]):
+def crop_xywh(mat: Mat, rect: tuple[int, int, int, int]):
     x, y, w, h = rect
     return mat[y : y + h, x : x + w]
 
 
 class CropBlackEdges:
     @staticmethod
-    def is_black_edge(__img_gray_slice: Mat, black_pixel: int, ratio: float = 0.6):
-        pixels_compared = __img_gray_slice < black_pixel
+    def is_black_edge(img_gray_slice: Mat, black_pixel: int, ratio: float = 0.6):
+        pixels_compared = img_gray_slice < black_pixel
         return np.count_nonzero(pixels_compared) > math.floor(
-            __img_gray_slice.size * ratio
+            img_gray_slice.size * ratio,
         )
 
     @classmethod
-    def get_crop_rect(cls, img_gray: Mat, black_threshold: int = 25):
+    def get_crop_rect(cls, img_gray: Mat, black_threshold: int = 25):  # noqa: C901
         height, width = img_gray.shape[:2]
         left = 0
         right = width
@@ -54,13 +57,22 @@ class CropBlackEdges:
                 break
             bottom -= 1
 
-        assert right > left, "cropped width < 0"
-        assert bottom > top, "cropped height < 0"
+        if right <= left:
+            msg = "cropped width < 0"
+            raise ValueError(msg)
+
+        if bottom <= top:
+            msg = "cropped height < 0"
+            raise ValueError(msg)
+
         return (left, top, right - left, bottom - top)
 
     @classmethod
     def crop(
-        cls, img: Mat, convert_flag: cv2.COLOR_BGR2GRAY, black_threshold: int = 25
+        cls,
+        img: Mat,
+        convert_flag: cv2.COLOR_BGR2GRAY,
+        black_threshold: int = 25,
     ) -> Mat:
         rect = cls.get_crop_rect(cv2.cvtColor(img, convert_flag), black_threshold)
         return crop_xywh(img, rect)

src/arcaea_offline_ocr/providers/__init__.py

@@ -5,8 +5,8 @@ from .knn import OcrKNearestTextProvider
 __all__ = [
     "ImageCategory",
     "ImageHashDatabaseIdProvider",
-    "OcrKNearestTextProvider",
     "ImageIdProvider",
-    "OcrTextProvider",
     "ImageIdProviderResult",
+    "OcrKNearestTextProvider",
+    "OcrTextProvider",
 ]

src/arcaea_offline_ocr/providers/base.py

@@ -1,17 +1,19 @@
+from __future__ import annotations
+
 from abc import ABC, abstractmethod
 from dataclasses import dataclass
 from enum import IntEnum
-from typing import TYPE_CHECKING, Any, Sequence, Optional
+from typing import TYPE_CHECKING, Any, Sequence
 
 if TYPE_CHECKING:
-    from ..types import Mat
+    from arcaea_offline_ocr.types import Mat
 
 
 class OcrTextProvider(ABC):
     @abstractmethod
-    def result_raw(self, img: "Mat", /, *args, **kwargs) -> Any: ...
+    def result_raw(self, img: Mat, /, *args, **kwargs) -> Any: ...
     @abstractmethod
-    def result(self, img: "Mat", /, *args, **kwargs) -> Optional[str]: ...
+    def result(self, img: Mat, /, *args, **kwargs) -> str | None: ...
 
 
 class ImageCategory(IntEnum):
@@ -29,10 +31,20 @@ class ImageIdProviderResult:
 class ImageIdProvider(ABC):
     @abstractmethod
     def result(
-        self, img: "Mat", category: ImageCategory, /, *args, **kwargs
+        self,
+        img: Mat,
+        category: ImageCategory,
+        /,
+        *args,
+        **kwargs,
     ) -> ImageIdProviderResult: ...
 
     @abstractmethod
     def results(
-        self, img: "Mat", category: ImageCategory, /, *args, **kwargs
+        self,
+        img: Mat,
+        category: ImageCategory,
+        /,
+        *args,
+        **kwargs,
     ) -> Sequence[ImageIdProviderResult]: ...

src/arcaea_offline_ocr/providers/ihdb.py

@@ -1,14 +1,17 @@
-import sqlite3
+from __future__ import annotations
+
 from dataclasses import dataclass
 from datetime import datetime, timezone
 from enum import IntEnum
-from typing import TYPE_CHECKING, Any, Callable, List, Optional, TypeVar
+from typing import TYPE_CHECKING, Any, Callable, TypeVar
 
 from arcaea_offline_ocr.core import hashers
 
 from .base import ImageCategory, ImageIdProvider, ImageIdProviderResult
 
 if TYPE_CHECKING:
+    import sqlite3
+
     from arcaea_offline_ocr.types import Mat
 
 
@@ -19,9 +22,11 @@ PROP_KEY_BUILT_AT = "built_at"
 
 
 def _sql_hamming_distance(hash1: bytes, hash2: bytes):
-    assert len(hash1) == len(hash2), "hash size does not match!"
-    count = sum(1 for byte1, byte2 in zip(hash1, hash2) if byte1 != byte2)
-    return count
+    if len(hash1) != len(hash2):
+        msg = "hash size does not match!"
+        raise ValueError(msg)
+
+    return sum(1 for byte1, byte2 in zip(hash1, hash2) if byte1 != byte2)
 
 
 class ImageHashType(IntEnum):
@@ -36,7 +41,7 @@ class ImageHashDatabaseIdProviderResult(ImageIdProviderResult):
 
 
 class MissingPropertiesError(Exception):
-    keys: List[str]
+    keys: list[str]
 
     def __init__(self, keys, *args):
         super().__init__(*args)
@@ -72,7 +77,7 @@ class ImageHashDatabaseIdProvider(ImageIdProvider):
         return self.properties[PROP_KEY_HIGH_FREQ_FACTOR]
 
     @property
-    def built_at(self) -> Optional[datetime]:
+    def built_at(self) -> datetime | None:
         return self.properties.get(PROP_KEY_BUILT_AT)
 
     @property
@@ -80,7 +85,7 @@ class ImageHashDatabaseIdProvider(ImageIdProvider):
         return self._hash_length
 
     def _initialize(self):
-        def get_property(key, converter: Callable[[Any], T]) -> Optional[T]:
+        def get_property(key, converter: Callable[[Any], T]) -> T | None:
             result = self.conn.execute(
                 "SELECT value FROM properties WHERE key = ?",
                 (key,),
@@ -97,7 +102,8 @@ class ImageHashDatabaseIdProvider(ImageIdProvider):
             PROP_KEY_HASH_SIZE: lambda x: int(x),
             PROP_KEY_HIGH_FREQ_FACTOR: lambda x: int(x),
             PROP_KEY_BUILT_AT: lambda ts: datetime.fromtimestamp(
-                int(ts) / 1000, tz=timezone.utc
+                int(ts) / 1000,
+                tz=timezone.utc,
             ),
         }
         required_properties = [PROP_KEY_HASH_SIZE, PROP_KEY_HIGH_FREQ_FACTOR]
@@ -122,8 +128,11 @@ class ImageHashDatabaseIdProvider(ImageIdProvider):
         self._hash_length = self.hash_size**2
 
     def lookup_hash(
-        self, category: ImageCategory, hash_type: ImageHashType, hash: bytes
-    ) -> List[ImageHashDatabaseIdProviderResult]:
+        self,
+        category: ImageCategory,
+        hash_type: ImageHashType,
+        hash_data: bytes,
+    ) -> list[ImageHashDatabaseIdProviderResult]:
         cursor = self.conn.execute(
             """
 SELECT
@@ -132,7 +141,7 @@ SELECT
 FROM hashes
 WHERE category = ? AND hash_type = ?
 ORDER BY distance ASC LIMIT 10""",
-            (hash, category.value, hash_type.value),
+            (hash_data, category.value, hash_type.value),
         )
 
         results = []
@@ -143,52 +152,52 @@ ORDER BY distance ASC LIMIT 10""",
                     category=category,
                     confidence=(self.hash_length - distance) / self.hash_length,
                     image_hash_type=hash_type,
-                )
+                ),
             )
 
         return results
 
     @staticmethod
-    def hash_mat_to_bytes(hash: "Mat") -> bytes:
-        return bytes([255 if b else 0 for b in hash.flatten()])
+    def hash_mat_to_bytes(hash_mat: Mat) -> bytes:
+        return bytes([255 if b else 0 for b in hash_mat.flatten()])
 
-    def results(self, img: "Mat", category: ImageCategory, /):
-        results: List[ImageHashDatabaseIdProviderResult] = []
+    def results(self, img: Mat, category: ImageCategory, /):
+        results: list[ImageHashDatabaseIdProviderResult] = []
 
         results.extend(
             self.lookup_hash(
                 category,
                 ImageHashType.AVERAGE,
                 self.hash_mat_to_bytes(hashers.average(img, self.hash_size)),
-            )
+            ),
         )
         results.extend(
             self.lookup_hash(
                 category,
                 ImageHashType.DIFFERENCE,
                 self.hash_mat_to_bytes(hashers.difference(img, self.hash_size)),
-            )
+            ),
         )
         results.extend(
             self.lookup_hash(
                 category,
                 ImageHashType.DCT,
                 self.hash_mat_to_bytes(
-                    hashers.dct(img, self.hash_size, self.high_freq_factor)
+                    hashers.dct(img, self.hash_size, self.high_freq_factor),
                 ),
-            )
+            ),
         )
 
         return results
 
     def result(
         self,
-        img: "Mat",
+        img: Mat,
         category: ImageCategory,
         /,
         *,
         hash_type: ImageHashType = ImageHashType.DCT,
     ):
-        return [
+        return next(
             it for it in self.results(img, category) if it.image_hash_type == hash_type
-        ][0]
+        )

src/arcaea_offline_ocr/providers/knn.py

@@ -1,17 +1,20 @@
+from __future__ import annotations
+
 import logging
 import math
-from typing import TYPE_CHECKING, Callable, Optional, Sequence, Tuple
+from typing import TYPE_CHECKING, Callable, Sequence
 
 import cv2
 import numpy as np
 
-from ..crop import crop_xywh
+from arcaea_offline_ocr.crop import crop_xywh
+
 from .base import OcrTextProvider
 
 if TYPE_CHECKING:
     from cv2.ml import KNearest
 
-    from ..types import Mat
+    from arcaea_offline_ocr.types import Mat
 
 logger = logging.getLogger(__name__)
 
@@ -19,10 +22,10 @@ logger = logging.getLogger(__name__)
 class FixRects:
     @staticmethod
     def connect_broken(
-        rects: Sequence[Tuple[int, int, int, int]],
+        rects: Sequence[tuple[int, int, int, int]],
         img_width: int,
         img_height: int,
-        tolerance: Optional[int] = None,
+        tolerance: int | None = None,
     ):
         # for a "broken" digit, please refer to
         # /assets/fix_rects/broken_masked.jpg
@@ -69,8 +72,8 @@ class FixRects:
 
     @staticmethod
     def split_connected(
-        img_masked: "Mat",
-        rects: Sequence[Tuple[int, int, int, int]],
+        img_masked: Mat,
+        rects: Sequence[tuple[int, int, int, int]],
         rect_wh_ratio: float = 1.05,
         width_range_ratio: float = 0.1,
     ):
@@ -111,7 +114,7 @@ class FixRects:
 
             # split the rect
             new_rects.extend(
-                [(rx, ry, x_mid - rx, rh), (x_mid, ry, rx + rw - x_mid, rh)]
+                [(rx, ry, x_mid - rx, rh), (x_mid, ry, rx + rw - x_mid, rh)],
             )
 
         return_rects = [r for r in rects if r not in connected_rects]
@@ -119,7 +122,7 @@ class FixRects:
         return return_rects
 
 
-def resize_fill_square(img: "Mat", target: int = 20):
+def resize_fill_square(img: Mat, target: int = 20):
     h, w = img.shape[:2]
     if h > w:
         new_h = target
@@ -132,11 +135,21 @@ def resize_fill_square(img: "Mat", target: int = 20):
     border_size = math.ceil((max(new_w, new_h) - min(new_w, new_h)) / 2)
     if new_w < new_h:
         resized = cv2.copyMakeBorder(
-            resized, 0, 0, border_size, border_size, cv2.BORDER_CONSTANT
+            resized,
+            0,
+            0,
+            border_size,
+            border_size,
+            cv2.BORDER_CONSTANT,
         )
     else:
         resized = cv2.copyMakeBorder(
-            resized, border_size, border_size, 0, 0, cv2.BORDER_CONSTANT
+            resized,
+            border_size,
+            border_size,
+            0,
+            0,
+            cv2.BORDER_CONSTANT,
         )
     return cv2.resize(resized, (target, target))
 
@@ -151,8 +164,8 @@ def preprocess_hog(digit_rois):
     return np.float32(samples)
 
 
-def ocr_digit_samples_knn(__samples, knn_model: cv2.ml.KNearest, k: int = 4):
-    _, results, _, _ = knn_model.findNearest(__samples, k)
+def ocr_digit_samples_knn(samples, knn_model: cv2.ml.KNearest, k: int = 4):
+    _, results, _, _ = knn_model.findNearest(samples, k)
     return [int(r) for r in results.ravel()]
 
 
@@ -160,11 +173,15 @@ class OcrKNearestTextProvider(OcrTextProvider):
     _ContourFilter = Callable[["Mat"], bool]
     _RectsFilter = Callable[[Sequence[int]], bool]
 
-    def __init__(self, model: "KNearest"):
+    def __init__(self, model: KNearest):
         self.model = model
 
     def contours(
-        self, img: "Mat", /, *, contours_filter: Optional[_ContourFilter] = None
+        self,
+        img: Mat,
+        /,
+        *,
+        contours_filter: _ContourFilter | None = None,
     ):
         cnts, _ = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
         if contours_filter:
@@ -174,12 +191,12 @@ class OcrKNearestTextProvider(OcrTextProvider):
 
     def result_raw(
         self,
-        img: "Mat",
+        img: Mat,
         /,
         *,
         fix_rects: bool = True,
-        contours_filter: Optional[_ContourFilter] = None,
-        rects_filter: Optional[_RectsFilter] = None,
+        contours_filter: _ContourFilter | None = None,
+        rects_filter: _RectsFilter | None = None,
     ):
         """
         :param img: grayscaled roi
@@ -192,11 +209,11 @@ class OcrKNearestTextProvider(OcrTextProvider):
 
             rects = [cv2.boundingRect(cnt) for cnt in cnts]
             if fix_rects and rects_filter:
-                rects = FixRects.connect_broken(rects, img.shape[1], img.shape[0])  # type: ignore
+                rects = FixRects.connect_broken(rects, img.shape[1], img.shape[0])
                 rects = list(filter(rects_filter, rects))
                 rects = FixRects.split_connected(img, rects)
             elif fix_rects:
-                rects = FixRects.connect_broken(rects, img.shape[1], img.shape[0])  # type: ignore
+                rects = FixRects.connect_broken(rects, img.shape[1], img.shape[0])
                 rects = FixRects.split_connected(img, rects)
             elif rects_filter:
                 rects = list(filter(rects_filter, rects))
@@ -216,12 +233,12 @@ class OcrKNearestTextProvider(OcrTextProvider):
 
     def result(
         self,
-        img: "Mat",
+        img: Mat,
         /,
         *,
         fix_rects: bool = True,
-        contours_filter: Optional[_ContourFilter] = None,
-        rects_filter: Optional[_RectsFilter] = None,
+        contours_filter: _ContourFilter | None = None,
+        rects_filter: _RectsFilter | None = None,
     ):
         """
         :param img: grayscaled roi

src/arcaea_offline_ocr/scenarios/b30/base.py

@@ -1,5 +1,7 @@
+from __future__ import annotations
+
 from abc import abstractmethod
-from typing import TYPE_CHECKING, List
+from typing import TYPE_CHECKING
 
 from arcaea_offline_ocr.scenarios.base import OcrScenario, OcrScenarioResult
 
@@ -9,13 +11,13 @@ if TYPE_CHECKING:
 
 class Best30Scenario(OcrScenario):
     @abstractmethod
-    def components(self, img: "Mat", /) -> List["Mat"]: ...
+    def components(self, img: Mat, /) -> list[Mat]: ...
 
     @abstractmethod
-    def result(self, component_img: "Mat", /, *args, **kwargs) -> OcrScenarioResult: ...
+    def result(self, component_img: Mat, /, *args, **kwargs) -> OcrScenarioResult: ...
 
     @abstractmethod
-    def results(self, img: "Mat", /, *args, **kwargs) -> List[OcrScenarioResult]:
+    def results(self, img: Mat, /, *args, **kwargs) -> list[OcrScenarioResult]:
         """
         Commonly a shorthand for `[self.result(comp) for comp in self.components(img)]`
         """

src/arcaea_offline_ocr/scenarios/b30/chieri/v4/colors.py

@@ -1,19 +1,19 @@
 import numpy as np
 
 __all__ = [
-    "FONT_THRESHOLD",
-    "PURE_BG_MIN_HSV",
-    "PURE_BG_MAX_HSV",
-    "FAR_BG_MIN_HSV",
-    "FAR_BG_MAX_HSV",
-    "LOST_BG_MIN_HSV",
-    "LOST_BG_MAX_HSV",
-    "BYD_MIN_HSV",
     "BYD_MAX_HSV",
-    "FTR_MIN_HSV",
+    "BYD_MIN_HSV",
+    "FAR_BG_MAX_HSV",
+    "FAR_BG_MIN_HSV",
+    "FONT_THRESHOLD",
     "FTR_MAX_HSV",
-    "PRS_MIN_HSV",
+    "FTR_MIN_HSV",
+    "LOST_BG_MAX_HSV",
+    "LOST_BG_MIN_HSV",
     "PRS_MAX_HSV",
+    "PRS_MIN_HSV",
+    "PURE_BG_MAX_HSV",
+    "PURE_BG_MIN_HSV",
 ]
 
 FONT_THRESHOLD = 160

src/arcaea_offline_ocr/scenarios/b30/chieri/v4/impl.py

@@ -1,4 +1,6 @@
-from typing import List, Optional, Tuple
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
 
 import cv2
 import numpy as np
@@ -11,7 +13,9 @@ from arcaea_offline_ocr.providers import (
 )
 from arcaea_offline_ocr.scenarios.b30.base import Best30Scenario
 from arcaea_offline_ocr.scenarios.base import OcrScenarioResult
-from arcaea_offline_ocr.types import Mat
+
+if TYPE_CHECKING:
+    from arcaea_offline_ocr.types import Mat
 
 from .colors import (
     BYD_MAX_HSV,
@@ -71,13 +75,13 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
         rating_class_results = [np.count_nonzero(m) for m in rating_class_masks]
         if max(rating_class_results) < 70:
             return 0
-        else:
-            return max(enumerate(rating_class_results), key=lambda i: i[1])[0] + 1
+        return max(enumerate(rating_class_results), key=lambda i: i[1])[0] + 1
 
     def ocr_component_song_id_results(self, component_bgr: Mat):
         jacket_rect = self.rois.component_rois.jacket_rect.floored()
         jacket_roi = cv2.cvtColor(
-            crop_xywh(component_bgr, jacket_rect), cv2.COLOR_BGR2GRAY
+            crop_xywh(component_bgr, jacket_rect),
+            cv2.COLOR_BGR2GRAY,
         )
         return self.image_id_provider.results(jacket_roi, ImageCategory.JACKET)
 
@@ -85,16 +89,22 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
         # sourcery skip: inline-immediately-returned-variable
         score_rect = self.rois.component_rois.score_rect.rounded()
         score_roi = cv2.cvtColor(
-            crop_xywh(component_bgr, score_rect), cv2.COLOR_BGR2GRAY
+            crop_xywh(component_bgr, score_rect),
+            cv2.COLOR_BGR2GRAY,
         )
         _, score_roi = cv2.threshold(
-            score_roi, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU
+            score_roi,
+            0,
+            255,
+            cv2.THRESH_BINARY + cv2.THRESH_OTSU,
         )
         if score_roi[1][1] == 255:
             score_roi = 255 - score_roi
 
         contours, _ = cv2.findContours(
-            score_roi, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
+            score_roi,
+            cv2.RETR_EXTERNAL,
+            cv2.CHAIN_APPROX_SIMPLE,
         )
         for contour in contours:
             rect = cv2.boundingRect(contour)
@@ -106,8 +116,9 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
         return int(ocr_result) if ocr_result else 0
 
     def find_pfl_rects(
-        self, component_pfl_processed: Mat
-    ) -> List[Tuple[int, int, int, int]]:
+        self,
+        component_pfl_processed: Mat,
+    ) -> list[tuple[int, int, int, int]]:
         # sourcery skip: inline-immediately-returned-variable
         pfl_roi_find = cv2.morphologyEx(
             component_pfl_processed,
@@ -115,14 +126,16 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
             cv2.getStructuringElement(cv2.MORPH_RECT, [10, 1]),
         )
         pfl_contours, _ = cv2.findContours(
-            pfl_roi_find, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE
+            pfl_roi_find,
+            cv2.RETR_EXTERNAL,
+            cv2.CHAIN_APPROX_NONE,
         )
         pfl_rects = [cv2.boundingRect(c) for c in pfl_contours]
         pfl_rects = [
             r for r in pfl_rects if r[3] > component_pfl_processed.shape[0] * 0.1
         ]
         pfl_rects = sorted(pfl_rects, key=lambda r: r[1])
-        pfl_rects_adjusted = [
+        return [
             (
                 max(rect[0] - 2, 0),
                 rect[1],
@@ -131,7 +144,6 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
             )
             for rect in pfl_rects
         ]
-        return pfl_rects_adjusted
 
     def preprocess_component_pfl(self, component_bgr: Mat) -> Mat:
         pfl_rect = self.rois.component_rois.pfl_rect.rounded()
@@ -154,11 +166,17 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
         pfl_roi_blurred = cv2.GaussianBlur(pfl_roi, (5, 5), 0)
         # pfl_roi_blurred = cv2.medianBlur(pfl_roi, 3)
         _, pfl_roi_blurred_threshold = cv2.threshold(
-            pfl_roi_blurred, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU
+            pfl_roi_blurred,
+            0,
+            255,
+            cv2.THRESH_BINARY + cv2.THRESH_OTSU,
         )
         # and a threshold of the original roi
         _, pfl_roi_threshold = cv2.threshold(
-            pfl_roi, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU
+            pfl_roi,
+            0,
+            255,
+            cv2.THRESH_BINARY + cv2.THRESH_OTSU,
         )
         # turn thresholds into black background
         if pfl_roi_blurred_threshold[2][2] == 255:
@@ -168,13 +186,15 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
         # return a bitwise_and result
         result = cv2.bitwise_and(pfl_roi_blurred_threshold, pfl_roi_threshold)
         result_eroded = cv2.erode(
-            result, cv2.getStructuringElement(cv2.MORPH_CROSS, (2, 2))
+            result,
+            cv2.getStructuringElement(cv2.MORPH_CROSS, (2, 2)),
         )
         return result_eroded if len(self.find_pfl_rects(result_eroded)) == 3 else result
 
     def ocr_component_pfl(
-        self, component_bgr: Mat
-    ) -> Tuple[Optional[int], Optional[int], Optional[int]]:
+        self,
+        component_bgr: Mat,
+    ) -> tuple[int | None, int | None, int | None]:
         try:
             pfl_roi = self.preprocess_component_pfl(component_bgr)
             pfl_rects = self.find_pfl_rects(pfl_roi)
@@ -185,7 +205,7 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
                 pure_far_lost.append(int(result) if result else None)
 
             return tuple(pure_far_lost)
-        except Exception:
+        except Exception:  # noqa: BLE001
             return (None, None, None)
 
     def ocr_component(self, component_bgr: Mat) -> OcrScenarioResult:
@@ -216,7 +236,7 @@ class ChieriBotV4Best30Scenario(Best30Scenario):
     def result(self, component_img: Mat, /):
         return self.ocr_component(component_img)
 
-    def results(self, img: Mat, /) -> List[OcrScenarioResult]:
+    def results(self, img: Mat, /) -> list[OcrScenarioResult]:
         """
         :param img: BGR format image
         """

src/arcaea_offline_ocr/scenarios/b30/chieri/v4/rois.py

@@ -1,4 +1,4 @@
-from typing import List
+from __future__ import annotations
 
 from arcaea_offline_ocr.crop import crop_xywh
 from arcaea_offline_ocr.types import Mat, XYWHRect
@@ -105,7 +105,7 @@ class ChieriBotV4Rois:
     def b33_vertical_gap(self):
         return 121 * self.factor
 
-    def components(self, img_bgr: Mat) -> List[Mat]:
+    def components(self, img_bgr: Mat) -> list[Mat]:
         first_rect = XYWHRect(x=self.left, y=self.top, w=self.width, h=self.height)
         results = []
 

src/arcaea_offline_ocr/scenarios/base.py

@@ -1,9 +1,13 @@
+from __future__ import annotations
+
 from abc import ABC
 from dataclasses import dataclass, field
-from datetime import datetime
-from typing import Sequence, Optional
+from typing import TYPE_CHECKING, Sequence
 
-from arcaea_offline_ocr.providers import ImageIdProviderResult
+if TYPE_CHECKING:
+    from datetime import datetime
+
+    from arcaea_offline_ocr.providers import ImageIdProviderResult
 
 
 @dataclass(kw_only=True)
@@ -12,27 +16,27 @@ class OcrScenarioResult:
     rating_class: int
     score: int
 
-    song_id_results: Sequence[ImageIdProviderResult] = field(default_factory=lambda: [])
+    song_id_results: Sequence[ImageIdProviderResult] = field(default_factory=list)
     partner_id_results: Sequence[ImageIdProviderResult] = field(
-        default_factory=lambda: []
+        default_factory=list,
     )
 
-    pure: Optional[int] = None
-    pure_inaccurate: Optional[int] = None
-    pure_early: Optional[int] = None
-    pure_late: Optional[int] = None
-    far: Optional[int] = None
-    far_inaccurate: Optional[int] = None
-    far_early: Optional[int] = None
-    far_late: Optional[int] = None
-    lost: Optional[int] = None
+    pure: int | None = None
+    pure_inaccurate: int | None = None
+    pure_early: int | None = None
+    pure_late: int | None = None
+    far: int | None = None
+    far_inaccurate: int | None = None
+    far_early: int | None = None
+    far_late: int | None = None
+    lost: int | None = None
 
-    played_at: Optional[datetime] = None
-    max_recall: Optional[int] = None
-    clear_status: Optional[int] = None
-    clear_type: Optional[int] = None
-    modifier: Optional[int] = None
+    played_at: datetime | None = None
+    max_recall: int | None = None
+    clear_status: int | None = None
+    clear_type: int | None = None
+    modifier: int | None = None
 
 
-class OcrScenario(ABC):
+class OcrScenario(ABC):  # noqa: B024
     pass

src/arcaea_offline_ocr/scenarios/device/__init__.py

@@ -4,10 +4,10 @@ from .masker import DeviceRoisMaskerAutoT1, DeviceRoisMaskerAutoT2
 from .rois import DeviceRoisAutoT1, DeviceRoisAutoT2
 
 __all__ = [
-    "DeviceRoisMaskerAutoT1",
-    "DeviceRoisMaskerAutoT2",
     "DeviceRoisAutoT1",
     "DeviceRoisAutoT2",
     "DeviceRoisExtractor",
+    "DeviceRoisMaskerAutoT1",
+    "DeviceRoisMaskerAutoT2",
     "DeviceScenario",
 ]

src/arcaea_offline_ocr/scenarios/device/extractor/base.py

@@ -1,8 +1,7 @@
 from arcaea_offline_ocr.crop import crop_xywh
+from arcaea_offline_ocr.scenarios.device.rois import DeviceRois
 from arcaea_offline_ocr.types import Mat
 
-from ..rois.base import DeviceRois
-
 
 class DeviceRoisExtractor:
     def __init__(self, img: Mat, rois: DeviceRois):

src/arcaea_offline_ocr/scenarios/device/impl.py

@@ -33,7 +33,8 @@ class DeviceScenario(DeviceScenarioBase):
 
         contours = self.knn_provider.contours(roi_gray)
         contours_filtered = self.knn_provider.contours(
-            roi_gray, contours_filter=contour_filter
+            roi_gray,
+            contours_filter=contour_filter,
         )
 
         roi_ocr = roi_gray.copy()
@@ -84,7 +85,7 @@ class DeviceScenario(DeviceScenarioBase):
 
     def max_recall(self):
         ocr_result = self.knn_provider.result(
-            self.masker.max_recall(self.extractor.max_recall)
+            self.masker.max_recall(self.extractor.max_recall),
         )
         return int(ocr_result) if ocr_result else None
 
@@ -109,7 +110,7 @@ class DeviceScenario(DeviceScenarioBase):
         h, w = img_gray.shape[:2]
         img = cv2.copyMakeBorder(img_gray, max(w - h, 0), 0, 0, 0, cv2.BORDER_REPLICATE)
         h, w = img.shape[:2]
-        img = cv2.fillPoly(
+        return cv2.fillPoly(
             img,
             [
                 np.array([[0, 0], [round(w / 2), 0], [0, round(h / 2)]], np.int32),
@@ -119,12 +120,11 @@ class DeviceScenario(DeviceScenarioBase):
             ],
             (128,),
         )
-        return img
 
     def partner_id_results(self):
         return self.image_id_provider.results(
             self.preprocess_char_icon(
-                cv2.cvtColor(self.extractor.partner_icon, cv2.COLOR_BGR2GRAY)
+                cv2.cvtColor(self.extractor.partner_icon, cv2.COLOR_BGR2GRAY),
             ),
             ImageCategory.PARTNER_ICON,
         )

src/arcaea_offline_ocr/scenarios/device/masker/__init__.py

@@ -2,8 +2,8 @@ from .auto import DeviceRoisMaskerAuto, DeviceRoisMaskerAutoT1, DeviceRoisMasker
 from .base import DeviceRoisMasker
 
 __all__ = [
+    "DeviceRoisMasker",
     "DeviceRoisMaskerAuto",
     "DeviceRoisMaskerAutoT1",
     "DeviceRoisMaskerAutoT2",
-    "DeviceRoisMasker",
 ]

src/arcaea_offline_ocr/scenarios/device/masker/auto.py

@@ -10,7 +10,9 @@ class DeviceRoisMaskerAuto(DeviceRoisMasker):
     @staticmethod
     def mask_bgr_in_hsv(roi_bgr: Mat, hsv_lower: Mat, hsv_upper: Mat):
         return cv2.inRange(
-            cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), hsv_lower, hsv_upper
+            cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
+            hsv_lower,
+            hsv_upper,
         )
 
 
@@ -100,25 +102,33 @@ class DeviceRoisMaskerAutoT1(DeviceRoisMaskerAuto):
     @classmethod
     def clear_status_track_lost(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.TRACK_LOST_HSV_MIN, cls.TRACK_LOST_HSV_MAX
+            roi_bgr,
+            cls.TRACK_LOST_HSV_MIN,
+            cls.TRACK_LOST_HSV_MAX,
         )
 
     @classmethod
     def clear_status_track_complete(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.TRACK_COMPLETE_HSV_MIN, cls.TRACK_COMPLETE_HSV_MAX
+            roi_bgr,
+            cls.TRACK_COMPLETE_HSV_MIN,
+            cls.TRACK_COMPLETE_HSV_MAX,
         )
 
     @classmethod
     def clear_status_full_recall(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.FULL_RECALL_HSV_MIN, cls.FULL_RECALL_HSV_MAX
+            roi_bgr,
+            cls.FULL_RECALL_HSV_MIN,
+            cls.FULL_RECALL_HSV_MAX,
         )
 
     @classmethod
     def clear_status_pure_memory(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.PURE_MEMORY_HSV_MIN, cls.PURE_MEMORY_HSV_MAX
+            roi_bgr,
+            cls.PURE_MEMORY_HSV_MIN,
+            cls.PURE_MEMORY_HSV_MAX,
         )
 
 
@@ -202,29 +212,39 @@ class DeviceRoisMaskerAutoT2(DeviceRoisMaskerAuto):
     @classmethod
     def max_recall(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.MAX_RECALL_HSV_MIN, cls.MAX_RECALL_HSV_MAX
+            roi_bgr,
+            cls.MAX_RECALL_HSV_MIN,
+            cls.MAX_RECALL_HSV_MAX,
         )
 
     @classmethod
     def clear_status_track_lost(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.TRACK_LOST_HSV_MIN, cls.TRACK_LOST_HSV_MAX
+            roi_bgr,
+            cls.TRACK_LOST_HSV_MIN,
+            cls.TRACK_LOST_HSV_MAX,
         )
 
     @classmethod
     def clear_status_track_complete(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.TRACK_COMPLETE_HSV_MIN, cls.TRACK_COMPLETE_HSV_MAX
+            roi_bgr,
+            cls.TRACK_COMPLETE_HSV_MIN,
+            cls.TRACK_COMPLETE_HSV_MAX,
         )
 
     @classmethod
     def clear_status_full_recall(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.FULL_RECALL_HSV_MIN, cls.FULL_RECALL_HSV_MAX
+            roi_bgr,
+            cls.FULL_RECALL_HSV_MIN,
+            cls.FULL_RECALL_HSV_MAX,
         )
 
     @classmethod
     def clear_status_pure_memory(cls, roi_bgr: Mat) -> Mat:
         return cls.mask_bgr_in_hsv(
-            roi_bgr, cls.PURE_MEMORY_HSV_MIN, cls.PURE_MEMORY_HSV_MAX
+            roi_bgr,
+            cls.PURE_MEMORY_HSV_MIN,
+            cls.PURE_MEMORY_HSV_MAX,
         )

src/arcaea_offline_ocr/types.py

@@ -25,18 +25,18 @@ class XYWHRect(NamedTuple):
 
     def __add__(self, other):
         if not isinstance(other, (list, tuple)) or len(other) != 4:
-            raise TypeError()
+            raise TypeError
 
         return self.__class__(*[a + b for a, b in zip(self, other)])
 
     def __sub__(self, other):
         if not isinstance(other, (list, tuple)) or len(other) != 4:
-            raise TypeError()
+            raise TypeError
 
         return self.__class__(*[a - b for a, b in zip(self, other)])
 
     def __mul__(self, other):
         if not isinstance(other, (int, float)):
-            raise TypeError()
+            raise TypeError
 
         return self.__class__(*[v * other for v in self])