chore: upgrade to py 3.12

Signed-off-by: David Wallace <[email protected]>

README.md

@@ -28,7 +28,7 @@ https://github.com/MyPyDavid/raman-fitting/wiki
 A release is now available on PyPI, installation can be done with these commands in a terminal.
 ``` bash
 # Setting up and activating a virtual environment
-python -m venv env # python 3.11 is recommended
+python -m venv env # python 3.12 is recommended
 source env/bin/activate
 
 # Installation from PyPI
@@ -110,7 +110,7 @@ The current version is v0.8.0
 
 ### Dependencies
 
-- python >= 3.11
+- python >= 3.12
 - lmfit >= 1.2.0
 - pandas >= 2.0.0
 - scipy >= 1.10.1

src/raman_fitting/__init__.py

@@ -6,6 +6,7 @@
 __package_name__ = __current_package_name__
 
 import importlib.util
+import sys
 
 try:
     from ._version import __version__
@@ -24,30 +25,20 @@
 except Exception:
     __version__ = "catch_exception_version"
 
-import sys
-import warnings
-
-# This code is written for Python 3.11 and higher
-if sys.version_info.major < 3 and sys.version_info.minor < 11:
-    raise RuntimeError(f"{__package_name__} requires Python 3.11 or higher.")
 
-# Let users know if they're missing any hard dependencies
-hard_dependencies = ("numpy", "pandas", "scipy", "matplotlib", "lmfit", "pydantic")
-soft_dependencies = {}
-missing_dependencies = []
+# This code is written for Python 3.12 and higher
+if sys.version_info.major < 3 and sys.version_info.minor < 12:
+    raise RuntimeError(f"{__package_name__} requires Python 3.12 or higher.")
 
+# Let users know if they're missing any dependencies
+dependencies: set = {"numpy", "pandas", "scipy", "matplotlib", "lmfit", "pydantic"}
+missing_dependencies = set()
 
-for dependency in hard_dependencies:
+for dependency in dependencies:
     if not importlib.util.find_spec(dependency):
-        missing_dependencies.append(dependency)
+        missing_dependencies.add(dependency)
 
 if missing_dependencies:
     raise ImportError(f"Missing required dependencies {missing_dependencies}")
 
-for dependency in soft_dependencies:
-    if not importlib.util.find_spec(dependency):
-        warnings.warn(
-            f"Missing important package {dependency}. {soft_dependencies[dependency]}"
-        )
-
-del hard_dependencies, soft_dependencies, dependency, missing_dependencies
+del dependencies, dependency, missing_dependencies