Install dask[dataframe] explicitly to fix upstream error #64

	name: Build NumPy 2

	on:
	push:
	pull_request:

	jobs:
	build:
	# Scheduled runs only on the origin org
	if: (github.event_name == 'schedule' && github.repository_owner == 'sgkit-dev') \|\| (github.event_name != 'schedule')
	runs-on: ubuntu-latest
	strategy:
	matrix:
	python-version: ["3.10", "3.11", "3.12"]

	steps:
	- uses: actions/checkout@v2
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements-numpy2.txt -r requirements-numpy2-dev.txt
	# update bio2zarr for NumPy 2, see https://github.com/sgkit-dev/bio2zarr/issues/256
	pip install -U 'numpy<2.1' -U git+https://github.com/sgkit-dev/bio2zarr.git
	# - name: Run pre-commit
	# uses: pre-commit/[email protected]
	- name: Test with pytest (numba jit disabled)
	env:
	NUMBA_DISABLE_JIT: 1
	run: \|
	# avoid guvectorized functions #1194
	pytest -v sgkit/tests/test_pedigree.py
	- name: Test with pytest and coverage
	run: \|
	pytest -v --cov=sgkit --cov-report=term-missing

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