pyproject.toml & import importlib.resources

nolds/datasets.py

@@ -6,7 +6,7 @@
   oct, open, pow, round, super, filter, map, zip
 )
 import numpy as np
-import pkg_resources
+import importlib.resources
 import datetime
 
 
@@ -144,7 +144,7 @@ def load_qrandom():
       the dataset
   """
   fname = "datasets/qrandom.npy"
-  with pkg_resources.resource_stream(__name__, fname) as f:
+  with importlib.resources.open_binary(__name__, fname) as f:
     return np.load(f)
 
 
@@ -159,7 +159,7 @@ def load_brown72():
       the dataset
   """
   fname = "datasets/brown72.npy"
-  with pkg_resources.resource_stream(__name__, fname) as f:
+  with importlib.resources.open_binary(__name__, fname) as f:
     return np.load(f)
 
 
@@ -185,10 +185,10 @@ def load_lorenz_physionet():
       x- and y-coordinates of the line fitting step in the PhysioNet output
   """
   fname = "datasets/lorenz.txt"
-  with pkg_resources.resource_stream(__name__, fname) as f:
+  with importlib.resources.open_binary(__name__, fname) as f:
     data_in = np.loadtxt(f)
   fname = "datasets/lorenz_physionet.txt"
-  with pkg_resources.resource_stream(__name__, fname) as f:
+  with importlib.resources.open_binary(__name__, fname) as f:
     data_out = np.loadtxt(f)
   return data_in, data_out
 
@@ -393,7 +393,7 @@ def pad_opening_values(values):
   data = []
   for index in ["^JKSE", "^N225", "^NDX"]:
     fname = "datasets/{}.csv".format(index)
-    with pkg_resources.resource_stream(__name__, fname) as f:
+    with importlib.resources.open_binary(__name__, fname) as f:
       days, values = load_finance_yahoo_data(f)
       pad_opening_values(values)
       data.append((days, values))

pyproject.toml

@@ -0,0 +1,42 @@
+# pyproject.toml
+
+[build-system]
+requires = ["setuptools>=77.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "nolds"
+version = "0.6.2"
+
+authors = [
+    { name="Christopher Schölzel", email="christopher.schoelzel@gmx.net" },
+]
+description = "Nonlinear measures for dynamical systems (based on one-dimensional time series)"
+readme = "README.md"
+requires-python = ">=3.10"
+license = { file="LICENSE" }
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+    "Intended Audience :: Science/Research",
+    "Topic :: Scientific/Engineering :: Visualization",
+]
+
+# Ana bağımlılıklarınız
+dependencies = [
+    "numpy",
+    "matplotlib",
+    "setuptools",
+    "future",
+]
+
+[project.optional-dependencies]
+test = ["pytest", "pytest-cov", "pytest-mock", "ruff", "numpy", "matplotlib", "scikit-learn", "quantumrandom",]
+
+[tool.setuptools.packages.find]
+where = ["."]
+
+[project.urls]
+Homepage = "https://github.com/CSchoel/nolds"
+Repository = "https://github.com/CSchoel/nolds"