Update Numpy dependency and drop oldest-supported-numpy.

pyproject.toml

@@ -5,11 +5,10 @@ readme = "README.md"
 description = "Time series learning with Python."
 dynamic = ["version"]
 license = { file = "LICENSE" }
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 dependencies = [
-  "numpy>=1.19.2; platform_python_implementation == 'PyPy'",
-  "numpy>=1.17.3; platform_python_implementation != 'PyPy'",
-  "scipy>=1.5.0",
+  "numpy>=1.19.5",
+  "scipy>=1.6.0",
   "scikit-learn>=1.3"
 ]
 classifiers = [
@@ -61,23 +60,11 @@ where = ["src"]
 requires = [
     "setuptools>=61.0",
     "wheel",
-    "cython>=3.0.0",
+    "cython>=3.0.8",
     "setuptools_scm[toml]>=6.2",
-
-    # use oldest-supported-numpy which provides the oldest numpy version with
-    # wheels on PyPI
-    #
-    # see: https://github.com/scipy/oldest-supported-numpy/blob/main/setup.cfg
-    "oldest-supported-numpy; python_version!='3.10' or platform_system!='Windows' or platform_python_implementation=='PyPy'",
-
-    # For CPython 3.10 under Windows, SciPy requires NumPy 1.22.3 while the
-    # oldest supported NumPy is defined as 1.21.6. We therefore need to force
-    # it for this specific configuration. For details, see
-    # https://github.com/scipy/scipy/blob/c58b608c83d30800aceee6a4dab5c3464cb1de7d/pyproject.toml#L38-L41
-    "numpy==1.22.3; python_version=='3.10' and platform_system=='Windows' and platform_python_implementation != 'PyPy'",
-
+    "numpy>=1.25",
     "scikit-learn>=1.3",
-    "scipy>=1.5.0",
+    "scipy>=1.6.0",
 ]
 
 build-backend = "setuptools.build_meta"

requirements.txt

@@ -1,4 +1,4 @@
-Cython>=0.29.24
-numpy>=1.21.0
+Cython>=3.0.8
+numpy>=1.25.0
 scikit-learn>=1.3
-scipy>=1.3.2
+scipy>=1.6.0