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Feb 7, 2012 · It would be theoretically feasible to understand them, but since it is a static analysis tool, it has its limitations with regard to what it can and what it should do. In order to help it, you might try running pylint with --init-hook="import sys; sys.path.append(path.dirname(path.dirname(path.abspath('your file'))))".
With Pylint < 0.25, add “#pylint: disable-all” at the beginning of the module. Pylint 0.26.1 and up have renamed that directive to “#pylint: skip-file” (but the first version will be kept for backward compatibility). In order to ease finding which modules are ignored a Information-level message file-ignored is emited.
Pylint expects the name of a package or module as its argument. As a convenience, you can give it a file name if it's possible to guess a module name from the file's path using the python path. Some examples : "pylint mymodule.py" should always work since the current working directory is automatically added on top of the python path
print statement used Used when a print statement is used (print is a function in Python 3) This message can’t be emitted when using Python >= 3.0. metaclass-assignment (W1623): Assigning to a class’s __metaclass__ attribute Used when a metaclass is specified by assigning to __metaclass__ (Python 3 specifies the metaclass as a class statement argument) This message can’t be emitted when ...
Aug 8, 2017 · Solution 3: import packA.subA.sa1. we need to use the full path: x = packA.subA.sa1.helloWorld () Note: The official syntax for import statements can be found in the documentation (Python 2 and 3). I find it difficult to parse the context-free grammar notation, and I have tried my best to summarize the key points here.
Mar 7, 2017 · Pylint is being run in jenkins and ideally the report should be clean of warnings/errors from other (possibly external) packages. Currently I just use pylint 1.6.5, add __init__.py files automatically before running and ignore the import-errors. I was just wondering if I could simplify this with a newer version of pylint.
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The modules described in this chapter provide new ways to import other Python modules and hooks for customizing the import process. The full list of modules described in this chapter is: 30.1. imp — Access the import internals. 30.1.1. Examples; 30.2. importlib – Convenience wrappers for __import__() 30.3. imputil — Import utilities. 30.3 ...
