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feat(CategoryTheory/Sites): criteria for IsSheafFor for a presieve generated by a single morphism - #42568

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feat(CategoryTheory/Sites): criteria for IsSheafFor for a presieve generated by a single morphism#42568
joelriou wants to merge 2 commits into
leanprover-community:masterfrom
joelriou:issheaffor-singleton

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@joelriou joelriou commented Aug 8, 2026

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@joelriou joelriou added the t-category-theory Category theory label Aug 8, 2026
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PR summary be534e13cd

Import changes for modified files

No significant changes to the import graph

Import changes for all files
Files Import difference

Declarations diff (regex)

+ IsSeparatedFor.of_singleton_comp
+ IsSheafFor.of_singleton
+ IsSheafFor.of_singleton_comp
+ singleton_le_iff

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 be534e1).

  • +4 new declarations
  • −0 removed declarations
+CategoryTheory.Presieve.IsSeparatedFor.of_singleton_comp
+CategoryTheory.Presieve.IsSheafFor.of_singleton
+CategoryTheory.Presieve.IsSheafFor.of_singleton_comp
+CategoryTheory.Presieve.singleton_le_iff

No changes to strong technical debt.

No changes to weak technical debt.

Current commit be534e13cd
Reference commit 38c06cd7f3

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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