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Add 3rd and 4th order convergent cubic convolution interpolation methods with continuous first derivates in any number of dimensions, including extrapolation support #360

Add 3rd and 4th order convergent cubic convolution interpolation methods with continuous first derivates in any number of dimensions, including extrapolation support

Add 3rd and 4th order convergent cubic convolution interpolation methods with continuous first derivates in any number of dimensions, including extrapolation support #360

Workflow file for this run

name: CI
on:
pull_request:
push:
branches:
- master
tags: '*'
jobs:
test:
name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
version:
- '1.6'
- '1'
- 'nightly'
os:
- ubuntu-latest
- macOS-latest
- windows-latest
arch:
- x64
steps:
- uses: actions/checkout@v4
- uses: julia-actions/setup-julia@v2
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- uses: actions/cache@v4
env:
cache-name: cache-artifacts
with:
path: ~/.julia/artifacts
key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
restore-keys: |
${{ runner.os }}-test-${{ env.cache-name }}-
${{ runner.os }}-test-
${{ runner.os }}-
- uses: julia-actions/julia-buildpkg@v1
- uses: julia-actions/julia-runtest@v1
- uses: julia-actions/julia-processcoverage@v1
- uses: codecov/codecov-action@v4
with:
file: lcov.info
token: ${{ secrets.CODECOV_TOKEN }}