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Update DataInterpolations requirement from 5, 6, 8.10, 9.0 to 5, 6, 8.10, 9.0, 10.1 in /docs in the all-julia-packages group across 1 directory - #70

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Update DataInterpolations requirement from 5, 6, 8.10, 9.0 to 5, 6, 8.10, 9.0, 10.1 in /docs in the all-julia-packages group across 1 directory#70
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Updates the requirements on DataInterpolations to permit the latest version.
Updates DataInterpolations to 10.1.0

Release notes

Sourced from DataInterpolations's releases.

v10.1.0

DataInterpolations v10.1.0

Diff since v10.0.0

Merged pull requests:

Closed issues:

  • Use barycentric formula for Lagrange interpolation (#75)
Changelog

Sourced from DataInterpolations's changelog.

DataInterpolations v9 Release Notes

Breaking changes

  • The deprecated RegularizationTools extension and the RegularizationSmooth interpolation type have been removed. RegularizationTools was deprecated and capped Optim to ≤ 1; removing it restores support for Optim v2.

  • The assume_linear_t constructor keyword and the DataInterpolations.looks_linear utility have been removed. Knot-vector structure is now probed once at construction through FindFirstFunctions.SearchProperties(t) and cached on every interpolation as A.t_props; uniformly-spaced knots are detected exactly and automatically. To override the probe, pass the new search_properties keyword accepted by every constructor, e.g. LinearInterpolation(u, t; search_properties = FindFirstFunctions.SearchProperties(t; is_uniform = true)).

New features

  • Every interpolation constructor accepts a search_properties::Union{Nothing, FindFirstFunctions.SearchProperties} keyword. The default nothing probes t at construction; passing a pre-built SearchProperties skips the probe (useful when constructing many interpolations over the same knot vector).

  • Knot search is dispatched through FindFirstFunctions.Auto(t) resolved at construction: uniformly-spaced knots (any AbstractRange, or vectors detected as exactly uniform) use a closed-form O(1) lookup; short non-uniform knot vectors use a linear scan; everything else keeps the previous bracketed gallop.

  • LinearInterpolation with uniformly-spaced knots and floating-point values takes a statically-dispatched fast path (closed-form index + lerp, verified against the live knots) — 5-10x faster per query on uniform grids.

  • QuadraticSpline construction is now O(n) instead of O(n^2) (running locator in quadratic_spline_params), e.g. ~870x faster at 100k points.

DataInterpolations v5 Release Notes

Breaking changes

  • AbstractInterpolation is not a subtype of AbstractVector anymore. This was needed for previous versions of ModelingToolkit.jl to represent splines as vectors.

  • Indexing overloads for AbstractInterpolation and the type parameter associated with it are removed. For example - A is an interpolation object:

    • Doing A[i] will error. Use A.u[i].
    • size(A) will error. Use size(A.u) or size(A.t).

  • Removed deprecated bindings for ZeroSpline which is the same as ConstantInterpolation.

DataInterpolations v6 Release Notes

Breaking changes

  • SciML/DataInterpolations.jl#274 introduced caching of parameters for interpolations (released in v5.3) and also introduced a field safetycopy which was a boolean flag to create a copy of the data as the parameters would be invalid if data is mutated. This was removed in SciML/DataInterpolations.jl#315 to introduce cache_parameters which made it explicit if a user wants to opt in for parameter caching or not.
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@dependabot
Update DataInterpolations requirement from 5, 6, 8.10, 9.0 to 5, 6, 8…
1655554 
….10, 9.0, 10.1

Updates the requirements on [DataInterpolations](https://github.com/SciML/DataInterpolations.jl) to permit the latest version.

Updates `DataInterpolations` to 10.1.0
- [Release notes](https://github.com/SciML/DataInterpolations.jl/releases)
- [Changelog](https://github.com/SciML/DataInterpolations.jl/blob/master/NEWS.md)
- [Commits](https://github.com/SciML/DataInterpolations.jl/commits/v10.1.0)

---
updated-dependencies:
- dependency-name: DataInterpolations
  dependency-version: 10.1.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Aug 31, 2026
@ChrisRackauckas
ChrisRackauckas merged commit 8f84d0b into main Sep 2, 2026
3 of 4 checks passed
@ChrisRackauckas
ChrisRackauckas deleted the dependabot/julia/docs/all-julia-packages-4e12cc6fe6 branch September 2, 2026 10:05
ChrisRackauckas added a commit to SciML/.github that referenced this pull request Sep 2, 2026
@ChrisRackauckas @claude
Documentation: skip deployment when the run has no push credentials
1a4f878 
Documentation jobs fail on pull requests from forks and on every Dependabot-triggered run,
*after* the documentation has built successfully. Recent examples: SciML/FindFirstFunctions.jl#114,
SciML/ModelingToolkitCourse#70, SciML/DiffEqFlux.jl#1070.

## Cause

Documenter's `deploy_folder` treats deployment as possible when either credential is merely
non-empty:

```julia
token_ok = env_nonempty("GITHUB_TOKEN")
key_ok   = env_nonempty("DOCUMENTER_KEY")
auth_ok  = token_ok | key_ok
```

GitHub still injects a `GITHUB_TOKEN` for fork and Dependabot pull requests — it is just
read-only — so `auth_ok` is true. Combined with `push_preview = true` (which the SciML docs
builds use), Documenter builds the docs, attempts to push the preview to `gh-pages`, and the
job dies with:

```
fatal: unable to access '...': The requested URL returned error: 403
ERROR: LoadError: failed process: ... `git push -q upstream HEAD:gh-pages`
```

The documentation itself was fine; only the push failed. The red check is noise, and it trains
reviewers to ignore a failing Documentation job.

## Fix

Pass the credentials only when the run can actually deploy. When they are empty Documenter
reports `Deploying: ✗` and exits 0, so the job still verifies that the documentation builds —
which is the only thing an untrusted pull request can verify.

Preview deployment is unchanged for same-repository pull requests by a human, and deployment on
push/tag/schedule is untouched.

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>
Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014FEzNTLFutCmTEAZ3zBg5R
@ChrisRackauckas ChrisRackauckas mentioned this pull request Sep 2, 2026
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