![]() 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.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. np.int64 or np.int32 to specify the precision exactly.If you want to be more explicit and review the current use, you have the following alternatives: For float and complex you can use float64 and complex128 if you wish to be more explicit about the precision.įor np.int a direct replacement with np.int_ or int is also good and will not change behavior, but the precision will continue to depend on the computer and operating system. To give a clear guideline for the vast majority of cases, for the types bool, object, str (and unicode) using the plain version is shorter and clear, and generally a good replacement. ![]() In many cases you can simply replace the deprecated NumPy types by the equivalent Python built-in type, e.g., numpy.float becomes a "plain" Python float.įor detailed guidelines on how to deal with various deprecated types, have a closer look at the table and guideline in the release notes for 1.20: It was created by Thibaut Courouble, a developer for Shopify (online business creator) and CSSFlow (one of the most interesting pages with free widgets in HMTL5, CSS3 and Sass for front-end development of. NumPy 1.24 (release notes) removed these aliases altogether, causing an error when they are used DevDocs, is another option for browsing technical documentation about different programming languages, software development tools and APIs. Usually its the same user as the folder above magento's install, but at this stage it's really hosting environment dependant, dig into stack exchange ! I've had sleepless nights on Magento 2 permissions and ownership, hate it, I do hope they introduce a more friendly solution to this persistent problem not common on many other platforms.The answer is already provided in the comments by and 1.20 (release notes) deprecated numpy.float, numpy.int, and similar aliases, causing them to issue a deprecation warning ![]() Usually it's file ownership and not file permissions I find.įile permissions I use: find. We recommend setting the permissions as follows:ħ70 permissions give full control (that is, read/write/execute) to the owner and to the group and no permissions to anyone else.Ħ60 permissions mean the owner and the group can read and write but other users have no permissions. (This includes files created by the Magento Admin or other web-based utilities.) In addition, the web server's group must own the Magento file system so that the Magento user (who is in the group) can share access to files with the web server user. ![]() The web server user must have write access to the following files and directories: Must not be the webserver user it should be a different user. Must have full control (read/write/execute) of all files and directories. ![]()
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