pyanalyze | A Python type checker | Code Analyzer library
kandi X-RAY | pyanalyze Summary
kandi X-RAY | pyanalyze Summary
Pyanalyze is a tool for programmatically detecting common mistakes in Python code, such as references to undefined variables and type errors. It can be extended to add additional rules and perform checks specific to particular functions.
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Top functions reviewed by kandi - BETA
- Returns the default argspec for the given object .
- Convert a value into a Value .
- Return the argument signature for obj .
- Show an error .
- Visit function definition .
- Convert a Value into a Value instance .
- Check whether an attribute is read .
- Implement setdefault .
- Parse a replacement field .
- Return the value of the given arguments .
pyanalyze Key Features
pyanalyze Examples and Code Snippets
def PyAnalyze(classesIn):
# classesIn is a list of PyClassIn objects and needs to be converted to a PyClassInVector
cdef vector[ClassIn] vecIn
cdef vector[ClassOut] vecOut
cdef PyClassIn a
for a in classesIn:
# unchanged [...]
from cpython.ref cimport PyObject, Py_DECREF
from cython.operator cimport dereference as deref, preincrement
# unchanged [...]
ctypedef PyObject* PyObjectPtr # I run into a bug templaing vector otherwise
cdef extern fro
Community Discussions
Trending Discussions on pyanalyze
QUESTION
I use Cython to wrap C++ code. The code contains a function defined as:
...ANSWER
Answered 2019-Oct-07 at 13:18In the comments I tried to recommend a solution involving wrapping C++ vectors. I prefer this approach because it avoids copying memory multiple times, but I think it's causing more confusion and you'd rather just use Python lists. Sorry.
To use Python lists you just have to copy the input and output within PyAnalyze
. You have to do it manually - no automatic conversions exists. You also have to be aware of the difference between your wrapped classes and the underlying C++ classes. You can only send the C++ classes to C++, not the wrapped ones.
Dealing with the input is easy:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyanalyze
You can use pyanalyze like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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