New version: ITensorGPU v0.1.7

[JuliaRegistrator]

• Registering package: ITensorGPU
• Repository: https://github.com/ITensor/ITensors.jl
• Created by: @mtfishman
• Version: v0.1.7
• Commit: 84158285997398265c5a6872c8e6c301112f8b75
• Reviewed by: @mtfishman
• Reference: ITensor/ITensors.jl@8415828#commitcomment-141122280
• Description: A Julia library for efficient tensor computations and tensor network calculations

[github-actions]

Your new version pull request does not meet the guidelines for auto-merging. Please make sure that you have read the General registry README and the AutoMerge guidelines. The following guidelines were not met:

• I was not able to install the package (i.e. Pkg.add("ITensorGPU") failed). See the AutoMerge logs for details.
• I was not able to load the package (i.e. import ITensorGPU failed). See the AutoMerge logs for details.

Note that the guidelines are only required for the pull request to be merged automatically. However, it is strongly recommended to follow them, since otherwise the pull request needs to be manually reviewed and merged by a human.

After you have fixed the AutoMerge issues, simply retrigger Registrator, which will automatically update this pull request. You do not need to change the version number in your Project.toml file (unless of course the AutoMerge issue is that you skipped a version number, in which case you should change the version number).

If you do not want to fix the AutoMerge issues, please post a comment explaining why you would like this pull request to be manually merged. Then, send a message to the #pkg-registration channel in the Julia Slack to ask for help. Include a link to this pull request.

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If you want to prevent this pull request from being auto-merged, simply leave a comment. If you want to post a comment without blocking auto-merging, you must include the text [noblock] in your comment. You can edit blocking comments, adding [noblock] to them in order to unblock auto-merging.

[mtfishman]

[noblock] Can this be merged manually? This package is not meant to be installable on Julia 1.10 (it is a legacy package that will be deprecated but we are supporting it for the time being).