How to Fix ValueError: numpy.ndarray size changed in pyxdameraulevenshtein Package

While working with Numpy, we often encounter a wide range of errors. One such popular error is – ValueError: numpy.ndarray size change may indicate binary incompatibility. In this article, we are going to learn what is the meaning of this error, what are the reasons for the occurrence of this error, and how to prevent and resolve it.

The issue “ValueError: numpy.ndarray size changed, may indicate binary incompatibility,” typically happens when there is a difference between the NumPy version used in the code and the NumPy version that was first used when the code or libraries were generated or saved earlier.

Python3

import pyxdameraulevenshtein

Output:

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

What causes a Value Error in Python

The error message ValueError: numpy.ndarray size changed indicates that a NumPy array has changed size unexpectedly. This can happen for a number of reasons, including:

• A bug in the Pyxel-Damerau-Levenshtein package or NumPy.
• A conflict between the Pyxel-Damerau-Levenshtein package and another Python library.
• A corrupted NumPy installation.
• Upgrading NumPy without recompiling dependent packages.

How to Fix ValueError in Python

To resolve this error, you can try the following:

• Update the Pyxel-Damerau-Levenshtein package. The error may be caused by a bug in the package that has been fixed in a newer version.
• Update NumPy. The error may be caused by a bug in NumPy that has been fixed in a newer version.
• Check for conflicts with other Python libraries. If you are using other Python libraries that depend on NumPy, make sure that they are compatible with the version of NumPy that you are using.
• Reinstall NumPy. If you are still having problems, try uninstalling and reinstalling NumPy.

Try updating your Numpy software to the most recent version to fix this error. To upgrade your Numpy to the most recent version, open your terminal and enter the command listed below.

• Upgrading Numpy Version

pip install numpy --upgrade

or using Python,

python -m pip install numpy --upgrade

–upgrade is responsible for upgrading your package to the newest version available.

• Upgrading pyxDamerauLevenshtein

pip install --upgrade pyxel-damerau-levenshtein

• Uninstalling and Reinstalling Numpy

pip uninstall numpy
pip install numpy

Some Additional Tips

Here are some additional tips to avoid this error:

• When upgrading NumPy, be sure to recompile any dependent packages.
• If you are using a C extension that depends on NumPy, make sure that the extension is compatible with the version of NumPy that you are using.
• If you are creating a NumPy array from a buffer, make sure that the buffer is large enough to hold the entire array.
• Avoid changing the size of NumPy arrays after they have been passed to C extensions.