refactor(CategoryTheory/Limits): use compEvaluation in limitIsoFlipCompLim

[kim-em]

This PR inserts HasLimit.isoOfNatIso (compEvaluation F k) into the components of limitIsoFlipCompLim and colimitIsoFlipCompColim, which currently identify F ⋙ (evaluation K C).obj k with F.flip.obj k by unfolding, and adapts the two proofs (colimitLimitToLimitColimitCone and yonedaYonedaColimit_app_inv) that relied on that unfolding.

It is extracted from Paul Reichert's experiment making Functor.comp and Functor.id instance_reducible (master...leanprover-community:mathlib4-nightly-testing:datokrat/functorcomp, discussed at https://leanprover.zulipchat.com/#narrow/channel/113488-general/topic/backward.2EisDefEq.2ErespectTransparency); the associator and unitor fixes are in #43566.

🤖 Prepared with Claude Code

[github-actions]

PR summary 12df66b4a1

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Import changes for all files

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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.

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✅ Lean-aware diff — post-build, computed from the Lean environment (commit 12df66b).

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No changes to strong technical debt.
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Current commit 12df66b4a1
Reference commit 572e4d091b

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.py 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).

[joelriou]

This proof uses Functor.comp_map. Then, I do not understand why not just doing the following because cat_disch (just a combination of intros, ext, simp) proves the goal:

  NatIso.ofComponents (fun k =>
    limitObjIsoLimitCompEvaluation F k ≪≫ HasLimit.isoOfNatIso (compEvaluation F k))