Upgrade to python 3.8

.github/workflows/run-tests.yml

@@ -14,7 +14,7 @@ jobs:
     runs-on: ubuntu-22.04
     strategy:
       matrix:
-        python: ["3.7", "3.10"]
+        python: ["3.8", "3.10"]
 
     steps:
       - name: Checkout code

README.md

@@ -39,7 +39,7 @@ and time-consuming. Labelformat aims to solve this pain.
 
 - Support for common dataset label formats (more coming soon)
 - Support for common tool formats (more coming soon)
-- Minimal dependencies, targets python 3.7 or higher
+- Minimal dependencies, targets python 3.8 or higher
 - Memory concious - datasets are processed file-by-file instead of loading everything
   in memory (when possible)
 - Typed
@@ -421,13 +421,13 @@ We also welcome contributions, please submit a PR.
 
 ### Development
 
-The library targets python 3.7 and higher. We use poetry to manage the development environment.
+The library targets python 3.8 and higher. We use poetry to manage the development environment.
 
 Here is an example development workflow:
 
 ```bash
 # Create a virtual environment with development dependencies
-poetry env use python3.7
+poetry env use python3.8
 poetry install
 
 # Make changes

docs/features.md

@@ -14,7 +14,7 @@ Labelformat offers a robust set of features tailored to meet the diverse needs o
 
 - **Performance Optimizations:**
     - **Memory Conscious:** Processes datasets file-by-file to minimize memory usage.
-    - **Minimal Dependencies:** Targets Python 3.7 or higher, ensuring broad compatibility.
+    - **Minimal Dependencies:** Targets Python 3.8 or higher, ensuring broad compatibility.
 
 - **Cross-Platform Support:**
     - **Windows, Linux, and macOS:** Works seamlessly across all major operating systems.

docs/index.md

@@ -8,7 +8,7 @@
 
 ## Key Features
 - **Wide Format Support**: COCO, YOLO (v5-v11), PascalVOC, KITTI, Labelbox, and more.
-- **Cross-Platform**: Compatible with Python 3.7+ on Windows, macOS, and Linux.
+- **Cross-Platform**: Compatible with Python 3.8+ on Windows, macOS, and Linux.
 - **Flexible Usage**: Intuitive CLI and Python API.
 - **Efficient**: Memory-conscious, optimized for large datasets.
 - **Offline First**: Operates locally without data uploads.

docs/installation.md

@@ -4,7 +4,7 @@ Installing **Labelformat** is straightforward. Follow the steps below to set up
 
 ## Prerequisites
 
-- **Python 3.7 or higher:** Ensure you have Python installed on Windows, Linux, or macOS.
+- **Python 3.8 or higher:** Ensure you have Python installed on Windows, Linux, or macOS.
 - **pip:** Python's package installer. It typically comes with Python installations.
 
 ## Installation using package managers

pyproject.toml

@@ -11,7 +11,7 @@ readme = "README.md"
 license = "MIT"
 
 [tool.poetry.dependencies]
-python = ">=3.7"
+python = ">=3.8"
 tqdm = "*"
 pyyaml = "*"
 pillow = "*"
@@ -41,7 +41,7 @@ profile = "black"
 
 [tool.mypy]
 ignore_missing_imports = true
-python_version = 3.7
+python_version = 3.8
 warn_unused_configs = true
 strict_equality = true
 # Disallow dynamic typing

src/labelformat/cli/registry.py

@@ -18,7 +18,7 @@ class Task(Enum):
 
 
 @dataclass
-class Registry:
+class Registry:  # type: ignore[misc]
     input: Dict[Task, Dict[str, Type]]  # type: ignore[type-arg]
     output: Dict[Task, Dict[str, Type]]  # type: ignore[type-arg]