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clib.conversion._to_numpy: Add tests for pyarrow.array with date32/date64 dtype #5160

clib.conversion._to_numpy: Add tests for pyarrow.array with date32/date64 dtype

clib.conversion._to_numpy: Add tests for pyarrow.array with date32/date64 dtype #5160

Workflow file for this run

# Run performance benchmarks
#
# Continuous benchmarking using pytest-codspeed. Measures the execution speed of tests
# marked with @pytest.mark.benchmark decorator.
name: Benchmarks
on:
# Run on pushes to the main branch
push:
branches: [ main ]
paths:
- 'pygmt/**/*.py'
- '.github/workflows/benchmarks.yml'
# Run in PRs but only if the PR has the 'run/benchmark' label
pull_request:
types: [ opened, reopened, labeled, synchronize ]
# 'workflow_dispatch' allows CodSpeed to trigger backtest performance analysis
# in order to generate initial data.
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
jobs:
benchmarks:
runs-on: ubuntu-latest
if: github.repository == 'GenericMappingTools/pygmt' && (github.event_name != 'pull_request' || contains(github.event.pull_request.labels.*.name, 'run/benchmark'))
defaults:
run:
shell: bash -l {0}
steps:
# Checkout current git repository
- name: Checkout
uses: actions/[email protected]
with:
# fetch all history so that setuptools-scm works
fetch-depth: 0
- name: Get current week number of year
id: date
run: echo "date=$(date +%Y-W%W)" >> $GITHUB_OUTPUT # e.g., 2024-W19
# Install Micromamba with conda-forge dependencies
- name: Setup Micromamba
uses: mamba-org/[email protected]
with:
environment-name: pygmt
condarc: |
channels:
- conda-forge
- nodefaults
cache-downloads: false
cache-environment: true
# environment cache is persistent for one week.
cache-environment-key: micromamba-environment-${{ steps.date.outputs.date }}
create-args: >-
gmt=6.5.0
python=3.12
numpy
pandas
xarray
netCDF4
packaging
geopandas
pyarrow
pytest
pytest-codspeed
pytest-mpl
# Download cached remote files (artifacts) from GitHub
- name: Download remote data from GitHub
run: |
# Download cached files to ~/.gmt directory and list them
gh run download --name gmt-cache --dir ~/.gmt/
# Change modification times of the two files, so GMT won't refresh it
touch ~/.gmt/gmt_data_server.txt ~/.gmt/gmt_hash_server.txt
ls -lhR ~/.gmt
env:
GH_TOKEN: ${{ github.token }}
# Install the package that we want to test
- name: Install the package
run: make install
# Run the benchmark tests
- name: Run benchmarks
uses: CodSpeedHQ/[email protected]
with:
# 'bash -el -c' is needed to use the custom shell.
# See https://github.com/CodSpeedHQ/action/issues/65.
run: bash -el -c "python -c \"import pygmt; pygmt.show_versions()\"; PYGMT_USE_EXTERNAL_DISPLAY=false python -m pytest -r P --pyargs pygmt --codspeed"