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[GradedAxes] Simplify dual graded unit range slicing (#1583) #357

[GradedAxes] Simplify dual graded unit range slicing (#1583)

[GradedAxes] Simplify dual graded unit range slicing (#1583) #357

name: Run ITensors base tests (macOS and Windows)
on:
push:
branches:
- main
jobs:
test:
name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ matrix.threads }} thread(s)
runs-on: ${{ matrix.os }}
env:
JULIA_NUM_THREADS: ${{ matrix.threads }}
strategy:
matrix:
version:
- 'lts'
- '1'
os:
# - windows-latest # windows tests are failing for an unknow reason, disable for now
- macOS-latest
threads:
- '2'
arch:
- x64
exclude:
# MacOS not available on x86
- {os: 'macOS-latest', arch: 'x86'}
steps:
- uses: actions/checkout@v4
- uses: julia-actions/setup-julia@latest
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- name: Install Julia dependencies and run tests
shell: julia {0}
run: |
using Pkg;
Pkg.activate(temp=true);
Pkg.develop(path="./NDTensors");
Pkg.develop(path=".");
Pkg.test("ITensors"; coverage=true, test_args=["base"]);
- uses: julia-actions/julia-uploadcodecov@latest
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}