HostSettings
Easy per-computer settings overrides. (Mirror)
Details
Installs
- Total 21
- Win 12
- Mac 2
- Linux 7
| Aug 1 | Jul 31 | Jul 30 | Jul 29 | Jul 28 | Jul 27 | Jul 26 | Jul 25 | Jul 24 | Jul 23 | Jul 22 | Jul 21 | Jul 20 | Jul 19 | Jul 18 | Jul 17 | Jul 16 | Jul 15 | Jul 14 | Jul 13 | Jul 12 | Jul 11 | Jul 10 | Jul 9 | Jul 8 | Jul 7 | Jul 6 | Jul 5 | Jul 4 | Jul 3 | Jul 2 | Jul 1 | Jun 30 | Jun 29 | Jun 28 | Jun 27 | Jun 26 | Jun 25 | Jun 24 | Jun 23 | Jun 22 | Jun 21 | Jun 20 | Jun 19 | Jun 18 | |
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| Windows | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mac | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Linux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Readme
- Source
- raw.githubusercontent.com
HostSettings for Sublime Text
Easy per-computer settings overrides for Sublime Text.
This Sublime Text plugin lets you tweak settings based on what computer you're
currently using. HostSettings looks in the host-settings dictionary of your
Preferences.sublime-settings file. If it finds a dictionary matching the
current computer host name, it'll use the settings inside to override the
existing settings.
For example, these host-specific settings tweak the font_size for
computers with a host name of asteroid or moon:
"host-specific": {
"asteroid": {
"font_size": 12,
},
"moon": {
"font_size": 10,
},
},
This is useful if you have computers with the same <platform> that need
different settings. HostSettings adjusts the settings without changing the
existing settings files (handy if you're keeping your settings in version
control!).
License
This Sublime Text plugin is released under the Creative Commons CC-BY-NC 4.0.
If you use this to train an LLM, I hope your company burns down. LLMs generate derived works based on their training data, but ignore the licenses and copyrights of everything they ingest. That is incompatible with many of the open source licenses in “publicly-available” works such as this one.