5import ast
6import importlib
7import json
8import math 9import pickle
10import pickletools
11import sys 21# Package Imports
22from sasctl.pzmm.write_score_code import ScoreCode as sc
23from ..core import current_session
24from ..utils.decorators import deprecated, experimental 25from ..utils.misc import check_if_jupyter
26
27try:38 put,
39 request_link,
40)
41from .tasks import publish_model, register_model, update_model_performance42
43# Ensure deprecation warnings are shown to users.
44warnings.filterwarnings("always", category=DeprecationWarning, module=r"^sasctl\.")38 put,
39 request_link,
40)
41from .tasks import publish_model, register_model, update_model_performance42
43# Ensure deprecation warnings are shown to users.
44warnings.filterwarnings("always", category=DeprecationWarning, module=r"^sasctl\.")38 put,
39 request_link,
40)
41from .tasks import publish_model, register_model, update_model_performance42
43# Ensure deprecation warnings are shown to users.
44warnings.filterwarnings("always", category=DeprecationWarning, module=r"^sasctl\.")An object has been imported but is not used anywhere in the file. It should either be used or the import should be removed.
Bad practice
import os
def example():
print("This snippet is not using the `os` import anywhere.")
Recommended
def example():
print("This looks good now!")
But this import is used by other modules!
One major reason why this issue can cause confusion is when it's raised for imports that are meant to be exported, for use in other places.
For example, consider this file, mypackage/__init__.py:
from mypackage.foo import is_foo
from mypackage.bar import bar_function
This is a very common pattern to export common functionality from modules, to
the top level of a package. But there is a major problem with this approach.
Consider this file, mypackage/foo.py:
import os
def is_foo(item):
return os.path.exists(item)
Since os is imported inside foo.py, you can actually do this:
>>> from mypackage.foo import os
Although weird, Python automatically exports all imports in a file. In practice however, it is ill-advised to rely on this behaviour.
If you want to explicitly export an imported item in a file, add it to the
special variable named __all__:
from mypackage.foo import is_foo
from mypackage.bar import bar_function
__all__ = ['is_foo', 'bar_function'] # Notice that these are strings!
DeepSource won't raise an issue if the imported item is present in __all__.