fix: 🐛 pre-commit auto fix

Author: Drew Yang

.coveragerc

@@ -3,4 +3,4 @@ branch = False
 source = datajoint
 
 [report]
-show_missing = True
+show_missing = True

.devcontainer/devcontainer.json

@@ -47,4 +47,4 @@
 	}
 	// Uncomment to connect as an existing user other than the container default. More info: https://aka.ms/dev-containers-non-root.
 	// "remoteUser": "devcontainer"
-}
+}

.devcontainer/docker-compose.yml

@@ -29,4 +29,3 @@ services:
 
     # Overrides default command so things don't shut down after the process ends.
     command: /bin/sh -c "while sleep 1000; do :; done"
-

.dockerignore

@@ -3,4 +3,4 @@ build
 *.egg-info
 dist
 .vscode
-__pycache__
+__pycache__

.github/workflows/docs.yaml

@@ -16,4 +16,4 @@ jobs:
           export UPSTREAM_REPO=https://github.com/${GITHUB_REPOSITORY}.git
           export HOST_UID=$(id -u)
           docker compose -f docs/docker-compose.yaml up --exit-code-from docs --build
-          git push origin gh-pages
+          git push origin gh-pages

.vscode/launch.json

@@ -13,4 +13,4 @@
             "justMyCode": false
         }
     ]
-}
+}

README.md

@@ -5,17 +5,17 @@
 
 # Welcome to DataJoint for Python!
 
-DataJoint for Python is a framework for scientific workflow management based on 
-relational principles. DataJoint is built on the foundation of the relational data 
-model and prescribes a consistent method for organizing, populating, computing, and 
+DataJoint for Python is a framework for scientific workflow management based on
+relational principles. DataJoint is built on the foundation of the relational data
+model and prescribes a consistent method for organizing, populating, computing, and
 querying data.
 
-DataJoint was initially developed in 2009 by Dimitri Yatsenko in Andreas Tolias' Lab at 
-Baylor College of Medicine for the distributed processing and management of large 
-volumes of data streaming from regular experiments. Starting in 2011, DataJoint has 
-been available as an open-source project adopted by other labs and improved through 
+DataJoint was initially developed in 2009 by Dimitri Yatsenko in Andreas Tolias' Lab at
+Baylor College of Medicine for the distributed processing and management of large
+volumes of data streaming from regular experiments. Starting in 2011, DataJoint has
+been available as an open-source project adopted by other labs and improved through
 contributions from several developers.
-Presently, the primary developer of DataJoint open-source software is the company 
+Presently, the primary developer of DataJoint open-source software is the company
 DataJoint (https://datajoint.com).
 
 ## Data Pipeline Example

datajoint/__init__.py

@@ -55,24 +55,23 @@
     "cli",
 ]
 
-from .logging import logger
-from .version import __version__
-from .settings import config
-from .connection import conn, Connection
-from .schemas import Schema
-from .schemas import VirtualModule, list_schemas
-from .table import Table, FreeTable
-from .user_tables import Manual, Lookup, Imported, Computed, Part
-from .expression import Not, AndList, U, Top
-from .diagram import Diagram
-from .admin import set_password, kill
+from . import errors
+from .admin import kill, set_password
+from .attribute_adapter import AttributeAdapter
 from .blob import MatCell, MatStruct
+from .cli import cli
+from .connection import Connection, conn
+from .diagram import Diagram
+from .errors import DataJointError
+from .expression import AndList, Not, Top, U
 from .fetch import key
 from .hash import key_hash
-from .attribute_adapter import AttributeAdapter
-from . import errors
-from .errors import DataJointError
-from .cli import cli
+from .logging import logger
+from .schemas import Schema, VirtualModule, list_schemas
+from .settings import config
+from .table import FreeTable, Table
+from .user_tables import Computed, Imported, Lookup, Manual, Part
+from .version import __version__
 
 ERD = Di = Diagram  # Aliases for Diagram
 schema = Schema  # Aliases for Schema

datajoint/admin.py

@@ -1,10 +1,12 @@
-import pymysql
+import logging
 from getpass import getpass
+
+import pymysql
 from packaging import version
+
 from .connection import conn
 from .settings import config
 from .utils import user_choice
-import logging
 
 logger = logging.getLogger(__name__.split(".")[0])
 

datajoint/attribute_adapter.py

@@ -1,4 +1,5 @@
 import re
+
 from .errors import DataJointError, _support_adapted_types
 from .plugin import type_plugins