Run black, isort, and flake8.

csv_metadata_quality/app.py

@@ -21,7 +21,8 @@ def parse_args(argv):
     parser.add_argument(
         "--experimental-checks",
         "-e",
-        help="Enable experimental checks like language detection", action="store_true"
+        help="Enable experimental checks like language detection",
+        action="store_true",
     )
     parser.add_argument(
         "--input-file",

setup.py

@@ -4,12 +4,12 @@ with open("README.md", "r") as fh:
     long_description = fh.read()
 
 install_requires = [
-    'pandas',
-    'python-stdnum',
-    'requests',
-    'requests-cache',
-    'pycountry',
-    'langid'
+    "pandas",
+    "python-stdnum",
+    "requests",
+    "requests-cache",
+    "pycountry",
+    "langid",
 ]
 
 setuptools.setup(
@@ -28,13 +28,11 @@ setuptools.setup(
         "Programming Language :: Python :: 3.8",
         "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
         "Operating System :: OS Independent",
-        "Development Status :: 4 - Beta"
+        "Development Status :: 4 - Beta",
     ],
-    packages=['csv_metadata_quality'],
+    packages=["csv_metadata_quality"],
     entry_points={
-        'console_scripts': [
-            'csv-metadata-quality = csv_metadata_quality.__main__:main'
-        ]
+        "console_scripts": ["csv-metadata-quality = csv_metadata_quality.__main__:main"]
     },
-    install_requires=install_requires
+    install_requires=install_requires,
 )

tests/test_check.py

@@ -1,6 +1,7 @@
+import pandas as pd
+
 import csv_metadata_quality.check as check
 import csv_metadata_quality.experimental as experimental
-import pandas as pd
 
 
 def test_check_invalid_issn(capsys):