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chore(deps): Bump gitpython from 3.1.50 to 3.1.52 #1120

chore(deps): Bump gitpython from 3.1.50 to 3.1.52

chore(deps): Bump gitpython from 3.1.50 to 3.1.52 #1120

Workflow file for this run

name: Test
on:
push:
branches: [main]
paths-ignore: ["examples/*.ipynb", "**/*.md", "docs/**", "dev_scripts/**"]
pull_request:
branches: [main]
paths-ignore: ["examples/*.ipynb", "**/*.md", "docs/**", "dev_scripts/**"]
workflow_dispatch:
inputs:
task:
type: choice
options: [test]
default: test
description: Trigger test manually.
workflow_call: # make this workflow reusable by release.yml
# Lock GITHUB_TOKEN to read-only by default. Individual jobs can opt in to
# extra scopes via their own ``permissions`` block if ever needed.
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
timeout-minutes: 45
container:
# MAVRL's docker container build on uv with LAMMPS with ML-GNNP and ML-SNAP.
# Required for testing the LAMMPS related methods.
image: docker.io/materialyzeai/lammps_gnnp
env:
PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python
PMG_MAPI_KEY: ${{ secrets.PMG_MAPI_KEY }}
steps:
- uses: actions/checkout@v5
- name: Install dependencies
run: |
apt-get update
apt-get install -y curl
pip install -e '.[ci]'
pip install "setuptools<82" # Required by maml (pkg_resources)
- name: pytest
run: pytest --cov=matcalc --cov-report=xml --cov-report=term-missing tests --color=yes
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
# Per-architecture smoke tests for the unified-name foundation potential
# registry in matcalc.utils. Each job installs only its own provider stack
# so the matrix shards stay light and a single broken provider does not
# block the others. Note that we are testing only the more widely used models.
# We will rely on the community to maintain the other models in the registry.
test-fp-loaders:
runs-on: ubuntu-latest
timeout-minutes: 20
strategy:
fail-fast: false
matrix:
include:
- name: matgl
extras: matgl
models: '["TensorNet-MatPES-PBE-2025.2", "TensorNet-MatPES-r2SCAN-2025.2"]'
- name: mace
extras: mace
models: '["MACE-MP-0-small", "MACE-MPA-0-medium", "MACE-MatPES-PBE-0"]'
- name: grace
extras: grace
models: '["GRACE-2L-OAM"]'
env:
PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python
steps:
- uses: actions/checkout@v5
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Cache HuggingFace models
uses: actions/cache@v4
with:
path: ~/.cache/huggingface
key: hf-models-${{ matrix.name }}
restore-keys: hf-models-
- name: Install matcalc + ${{ matrix.name }} provider
run: |
python -m pip install --upgrade pip
if [ "${{ matrix.name }}" = "matgl" ]; then
pip install -e '.[matgl]'
else
pip install -e '.[${{ matrix.extras }}]'
fi
- name: Load each canonical model
run: |
python - <<'PY'
import json, os
from matcalc import load_fp
from ase.calculators.calculator import Calculator
for name in json.loads(os.environ["MODELS"]):
calc = load_fp(name)
assert isinstance(calc, Calculator), f"{name}: got {type(calc)}"
print(f"OK: {name} -> {type(calc).__name__}")
PY
env:
MODELS: ${{ matrix.models }}