[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

setup.cfg

@@ -4,7 +4,7 @@ long_description = file: README.md
 long_description_content_type = text/markdown
 url = hhttps://github.com/opensourceeconomics/scipy-2022-dev
 license = MIT
-license_file = LICENSE
+license_files = LICENSE
 platforms = unix, linux, osx, cygwin, win32
 classifiers =
     Intended Audience :: Science/Research
@@ -14,14 +14,10 @@ classifiers =
     Operating System :: POSIX
     Programming Language :: Python :: 3
     Programming Language :: Python :: 3 :: Only
-    Programming Language :: Python :: 3.7
-    Programming Language :: Python :: 3.8
-    Programming Language :: Python :: 3.9
-    Programming Language :: Python :: 3.10
 
 [options]
 packages = find:
-python_requires = >=3.7
+python_requires = >=3.9
 include_package_data = True
 package_dir =
     =src

src/scipy_dev/__init__.py

@@ -1,4 +1,5 @@
 """This module contains the main namespace of fte."""
+
 # Import the version from _version.py which is dynamically created by setuptools-scm
 # when the project is installed with ``pip install -e .``. Do not put it into version
 # control!

src/scipy_dev/config.py

@@ -1,4 +1,5 @@
 """This module contains the general configuration of the project."""
+
 from pathlib import Path
 
 

src/scipy_dev/presentation/main.md

@@ -102,7 +102,7 @@ University of Bonn
 ### Preview of practice session
 
 - Translate a criterion function from math to code
-  
+
 - Use `scipy.optimize` to minimize the criterion function
 
 ---
@@ -920,7 +920,7 @@ em.convergence_plot(
 
 <!-- _class: lead -->
 # Bounds and Constraints
---- 
+---
 
 ### Preview of practice session
 
@@ -1621,7 +1621,7 @@ section.split {
 <!-- _class: lead -->
 # JAX and JAXopt
 
---- 
+---
 ### Preview of practice session(s)
 
 - Solve an optimization problem using JAX gradients

src/scipy_dev/source_repo/test_installation.py

@@ -1,4 +1,5 @@
 """Test that the environment is correctly installed."""
+
 from distutils.spawn import find_executable