diff --git a/.github/workflows/codeflash-optimize.yaml b/.github/workflows/codeflash-optimize.yaml deleted file mode 100644 index 0734a25a..00000000 --- a/.github/workflows/codeflash-optimize.yaml +++ /dev/null @@ -1,53 +0,0 @@ -name: Codeflash - -on: - push: - branches: - - main - - renovate/** - pull_request: - workflow_dispatch: - -jobs: - optimize: - name: Optimize new code in this PR - runs-on: ubuntu-latest - env: - CODEFLASH_API_KEY: ${{ secrets.CODEFLASH_API_KEY }} - CODEFLASH_PR_NUMBER: ${{ github.event.number }} - steps: - - name: Check if PR is from Codeflash bot - id: bot_check - run: |- - echo "Checking if this PR is created by Codeflash bot..." - if [ "${{ github.event.pull_request.user.login }}" == "codeflash-ai[bot]" ]; then - echo "PR created by Codeflash bot. Skipping optimization." - echo "skip_remaining_steps=yes" >> $GITHUB_OUTPUT - else - echo "skip_remaining_steps=no" >> $GITHUB_OUTPUT - echo "It's not. Proceeding with the optimization." - fi - - - uses: actions/checkout@v4 - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - with: - fetch-depth: 0 - token: ${{ secrets.GITHUB_TOKEN }} - - - name: Set up Python - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - uses: actions/setup-python@v5 - with: - cache-dependency-path: pyproject.toml - cache: pip - python-version: 3.12 - - - name: Install Project Dependencies - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - run: >- - python -m pip install -e .; python -m pip install codeflash - - - name: Run Codeflash to optimize code - if: steps.bot_check.outputs.skip_remaining_steps == 'no' - id: optimize_code - run: codeflash diff --git a/paper/paper.md b/paper/paper.md index 42475544..d56b5838 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -48,9 +48,9 @@ wavelets are built upon the eigenfunctions of the Slepian concentration problem of the manifold [@Slepian1961; @Landau1961; @Landau1962]: a set of bandlimited functions that are maximally concentrated within a given region. Wavelets are constructed through a tiling of the Slepian harmonic line by leveraging the -existing scale-discretised framework [@Wiaux2008; @Leistedt2013]. Whilst these -wavelets were inspired by spherical datasets, like in cosmology, the wavelet -construction may be utilised for manifold or graph data. +existing scale-discretised framework [@Wiaux2008; @Leistedt2013]. Whilst these wavelets +were inspired by spherical datasets, like in cosmology, the wavelet construction +may be utilised for manifold or graph data. To the author's knowledge, there is no public software that allows one to compute Slepian wavelets (or a similar approach) on the sphere or general diff --git a/pyproject.toml b/pyproject.toml index 149b376d..78a008d0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -98,13 +98,6 @@ ignore = [ "src/sleplet/_version.py", ] -[tool.codeflash] -ignore-paths = [] -# All paths are relative to this pyproject.toml's directory. -module-root = "src" -test-framework = "pytest" -tests-root = "tests" - [tool.coverage] report = {skip_covered = true, sort = "cover"} run = {branch = true, parallel = true, source = [