Redesign toml sorting to speed up from ~40s to ~2s (#7192)

# Description of Changes
The `pre-commit` tool to sort the translations is really slow. It took
~40 seconds to run because it's using a parser which attempts to save
all of the formatting data from the Toml. Our translations toml is
pretty much entirely formatted anyway, so there's no point in trying to
preserve any of that data. The only thing we lose is 5 comments, none of
which are needed anyway and only appear in the US translation file. By
switching to Python stdlib `tomllib` reading and `tomli-w` for writing,
we can make the Toml formatting job take 2.11 seconds, where it used to
take 39.78s. The whole pre-commit job now takes 4.58 seconds.

frontend/editor/public/locales/en-US/translation.toml

@@ -692,7 +692,6 @@ manualLinks = "Manual downloads: click the links and place the files into the te
 noLanguages = "No tessdata languages found in the configured directory."
 permissionNotice = "The tessdata path is not writable. Downloads will be opened in the browser; please save the .traineddata files manually into the tessdata folder."
 
-# AI engine admin settings (AI nav group)
 [admin.settings.ai.documents]
 description = "Configure the embedding model and retrieval settings used to answer questions over documents. Applied to the AI engine when saved."
 title = "Documents & RAG"
@@ -7320,7 +7319,6 @@ sectionsAriaLabel = "Infrastructure sections"
 subtitle = "Deployments, credentials, security posture, storage, and the audit trail for your Stirling workspace."
 title = "Infrastructure"
 
-# Fixed-enum label maps rendered via t(MAP[value]) in the infrastructure tabs.
 [portal.infrastructure.apiKeys]
 createKey = "Create key"
 heading = "API keys"
@@ -8415,13 +8413,10 @@ region = "State / region"
 regionPlaceholder = "California"
 running = "{{annual}} / yr · {{years}}-yr {{tcv}}"
 s1Sub = "Your team, and the PDFs you expect to run each year."
-# Step 1 — volume
 s1Title = "How much will you process?"
 s2Sub = "Longer terms discount the rate; your service level sets support."
-# Step 2 — commitment & service
 s2Title = "Commitment and service"
 s3Sub = "For the quote and the agreement it generates."
-# Step 3 — details
 s3Title = "Your details"
 serviceLevel = "Service level"
 size_compact = "Compact"