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chore: remove outdated adaptation notes after #42161 - #42745

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JovanGerb:Jovan-adaptation_notes-#42161
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chore: remove outdated adaptation notes after #42161#42745
JovanGerb wants to merge 1 commit into
leanprover-community:masterfrom
JovanGerb:Jovan-adaptation_notes-#42161

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This PR removes some adaptation notes that I forgot to remove in #42161.


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@github-actions github-actions Bot added t-category-theory Category theory tech debt Tracking cross-cutting technical debt, see e.g. the "Technical debt counters" stream on zulip labels Aug 13, 2026
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github-actions Bot commented Aug 13, 2026

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PR summary 93271f5207

Import changes for modified files

No significant changes to the import graph

Import changes for all files
Files Import difference

Declarations diff (regex)

No declarations were harmed in the making of this PR! 🐙

You can run this locally as follows
## from your `mathlib4` directory:
git clone https://github.com/leanprover-community/mathlib-ci.git ../mathlib-ci

## summary with just the declaration names:
../mathlib-ci/scripts/pr_summary/declarations_diff.sh <optional_commit>

## more verbose report:
../mathlib-ci/scripts/pr_summary/declarations_diff.sh long <optional_commit>

The doc-module for scripts/pr_summary/declarations_diff.sh in the mathlib-ci repository contains some details about this script.

Declarations diff (Lean)

Lean-aware diff — post-build, computed from the Lean environment (commit 93271f5).

  • +0 new declarations
  • −0 removed declarations

No declaration differences.


Decrease in strong tech debt: (relative, absolute) = (4.00, 0.01)
Current number Change Type (strong)
383 -4 adaptation notes
No changes to weak technical debt.

Current commit 93271f5207
Reference commit ae26804842

This script lives in the mathlib-ci repository. To run it locally, from your mathlib4 directory:

git clone https://github.com/leanprover-community/mathlib-ci.git ../mathlib-ci
../mathlib-ci/scripts/reporting/technical-debt-metrics.sh pr_summary
  • The relative value is the weighted sum of the differences with weight given by the inverse of the current value of the statistic.
  • The absolute value is the relative value divided by the total sum of the inverses of the current values (i.e. the weighted average of the differences).

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