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Installing Shaperglot #4

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NeilSureshPatel opened this issue Sep 23, 2022 · 4 comments
Closed

Installing Shaperglot #4

NeilSureshPatel opened this issue Sep 23, 2022 · 4 comments

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@NeilSureshPatel
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NeilSureshPatel commented Sep 23, 2022 •
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I know the overview says "Development has barely started, so don't try using this yet." but tried to install Shaperglot anyway :)
Got the following error.

`ERROR: Could not find a version that satisfies the requirement shaperglot (from versions: none)'

'ERROR: No matching distribution found for shaperglot`

We just kicked off the African language support work with Google, so I am curious if there is a dev version I could start working with.

Thanks.
@kontur
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kontur commented Sep 29, 2022

Shaperglot is not on pip as of yet, it seems. With latest pip versions you should be able to use:

pip install git+ssh://[email protected]/simoncozens/shaperglot.git

@NeilSureshPatel
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Thanks. I gave it a try and it looks like I need some kind of access rights to the repo. I am getting the following error when running the install command above.

Warning: Permanently added the ECDSA host key for IP address '140.82.112.4' to the list of known hosts.
  [email protected]: Permission denied (publickey).
  fatal: Could not read from remote repository.

  Please make sure you have the correct access rights
  and the repository exists.
  error: subprocess-exited-with-error

@simoncozens
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Use this instead: pip install git+https://github.com/simoncozens/shaperglot.git

@NeilSureshPatel
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Perfect! Thanks that did the trick.

simoncozens added a commit that referenced this issue Mar 24, 2023
@NeilSureshPatel @simoncozens
Update bulk-sg-run.py (#4)
a17d15d 
I modified the summary to output passing and failing fonts by language tag to a JSON file. I also moved the missing tag data into this summary.

I was having trouble running a large number of fonts without the process being killed due to a shortage of memory. This may not be an issue on a more robust system.

I modified the script to slice up the available tags and hand those off to the Pool for processing in batches. This helps return some resources back to the system when the batches complete and processes shut down.

Co-authored-by: Simon Cozens <[email protected]>
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@simoncozens @kontur @NeilSureshPatel