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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #384 +/- ##
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Coverage 97.90% 97.90%
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Files 27 27
Lines 1572 1572
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Hits 1539 1539
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jmafoster1
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May 1, 2026
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Should this file be committed? Is it needed for the tutorial or could it be in the .gitignore?
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May 1, 2026
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Thanks, that was much more straightforward than I thought too!
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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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Closes issue #376 and #383.
This pull request updates the project to drop support for Python 3.10 and add support for Python 3.14, while also updating dependencies and configuration files to align with the new supported Python versions. It also includes minor code improvements and test adjustments for better compatibility and accuracy.
Python version support and configuration updates:
Updated all documentation, CI workflows (
.github/workflows/ci-tests.yaml,.github/workflows/ci-tests-drafts.yaml,.github/workflows/publish-to-pypi.yaml,.github/workflows/publish-to-dafni.yaml), and thepyproject.tomland.pre-commit-config.yamlfiles to support Python 3.11–3.14 instead of 3.10–3.13. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10]Updated dependency versions in
pyproject.tomlto use more recent and compatible versions, and simplified conditional dependency logic.Code and test improvements:
causal_testing/estimation/linear_regression_estimator.pyto usepd.api.types.is_numeric_dtype, making the code more robust.causal_testing/estimation/ipcw_estimator.pyfor resetting indices.tests/testing_tests/test_causal_test_adequacy.pyto useassertAlmostEqualwith a tolerance, improving reliability across platforms and Pandas versions. [1] [2]tests/testing_tests/test_causal_test_adequacy.py.Tutorial and result data updates:
docs/source/tutorials/vaccinating_elderly/causal_test_results.jsonfor improved numerical precision. [1] [2]