![]() ![]() Alternatively, you could create a patch yourself and open a pull request, or monkey patch the dependency in your own code. If you have dependencies that use the deprecated types, a quick workaround would be to roll back your NumPy version to 1.24 or less (as suggested in some of the other answers), while waiting for the dependency to catch up. This can be the best type to use for indexing. np.intp which is 32bit on 32bit machines 64bit on 64bit machines. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.The C types: np.cint ( int), np.int_ ( long), np.longlong.np.int_ or int (the default), but be aware that it depends on the computer and operating system. This ensures that results cannot depend on the computer or operating system. wrote: > On 12:28 AM, Nick Coghlan wrote: > On Mon, at 11:23 AM, Guido van Rossum.
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