Conversation
Builds pmdarima 2.1.1 with meson-python/cibuildwheel for cp312/cp313, the interpreters our registry has full numpy/scipy/pandas/scikit-learn/ statsmodels riscv64 coverage for.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
pmdarima2.1.1Compiles the Cython ARIMA/array/Fourier-feature kernels via meson-python. Upstream publishes no riscv64 wheel.
Mirrors upstream's
.circleci/config.ymlbuild-linux-x86job - their GitHub Actions workflow only covers macOS/Windows/aarch64-via-QEMU; the real Linux x86_64 wheels come from CircleCI.Differs from upstream
GITHUB_REFset inCIBW_ENVIRONMENT-meson.buildreads the version tag from it, but the container starts with no envMatrix: cp312/cp313 only - scikit-learn and statsmodels (both runtime deps) have riscv64 wheels on pypi.riseproject.dev only for those two interpreters
Testing
test_max_dur/test_subsequent_contexts- timing-based (0.5s window), flake under loadtest_pipeline_predict_inverse_transform[True-True-X0-pipeline6]- numpy>=2.5 hands back a read-onlyconf_intsarray thatpipeline.pyassigns into in place; reproduces on macOS/arm64 too, not riscv64-specificLicense: OK
Built on cp312; 445 passed, 3 deselected.