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API: consistent NaN treatment for pyarrow dtypes #24298

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API: consistent NaN treatment for pyarrow dtypes

API: consistent NaN treatment for pyarrow dtypes #24298

Triggered via pull request July 6, 2025 21:33
@jbrockmendeljbrockmendel
synchronize #61732
jbrockmendel:poc-arrow-nans
Status Failure
Total duration 46m 35s
Artifacts 1

unit-tests.yml

on: pull_request
Linux-32-bit
18m 31s
Linux-32-bit
Linux-Musl
15m 54s
Linux-Musl
Pyodide build
23m 39s
Pyodide build
Matrix: macos-windows
Matrix: python-dev
Matrix: ubuntu
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3 errors and 3 warnings
Pyarrow Nightly
Process completed with exit code 1.
Minimum Versions
Failed to CreateArtifact: Received non-retryable error: Failed request: (409) Conflict: an artifact with this name already exists on the workflow run
Minimum Versions
Process completed with exit code 1.
Pyodide build
Failed to save: reserveCache failed: Cache service responded with 503
Pyodide build
No cached files found at path "/home/runner/work/pandas/pandas/emsdk-cache" - downloading and caching emsdk.
Pyodide build
Failed to restore: getCacheEntry failed: Cache service responded with 503

Artifacts

Produced during runtime
Name Size Digest
Test results
1.44 MB
sha256:2738666ae6a42538c2c4881ec9ac6ea7543630779fa0a004a8cb3b9bcd32b097