TST: speed up env resolution with uv #1125

	name: CI (bleeding edge)
	# this workflow is heavily inspired from pandas, see
	# https://github.com/pandas-dev/pandas/blob/master/.github/workflows/python-dev.yml

	# goals: check stability against
	# - dev version of Python, numpy, and matplotlib
	# - building with future pip default options

	on:
	push:
	branches:
	- main
	pull_request:
	paths:
	- .github/workflows/bleeding-edge.yaml
	schedule:
	# run this every Wednesday at 3 am UTC
	- cron: 0 3 * * 3
	workflow_dispatch:

	jobs:
	build:
	runs-on: ubuntu-latest
	name: Dev upstream
	timeout-minutes: 60

	steps:
	- uses: actions/checkout@v4
	with:
	fetch-depth: 0

	- name: Set up Python Dev Version
	uses: actions/setup-python@v5
	with:
	python-version: 3.12-dev
	- uses: yezz123/setup-uv@v4
	with:
	uv-version: 0.2.18
	uv-venv: .venv

	- name: Install dependencies
	run: \|
	uv pip install --upgrade setuptools wheel
	uv pip install --pre --only-binary ":all:" numpy matplotlib \
	--extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple

	- name: Build library
	run: \|
	uv pip install . --no-build-isolation
	uv pip install --requirement requirements/tests.txt

	- name: Run test suite
	run: \|
	pytest --color yes --mpl-results-path=test_results

	- uses: actions/upload-artifact@v4
	if: failure()
	with:
	name: test_results
	path: test_results/

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