Addressed situation when assign_default_confidence() returns only dataframe with all NaN confidence values #2133

	name: sssom-py QC

	on:
	push:
	branches: [ master ]
	pull_request:
	branches: [ master ]

	jobs:
	build:
	runs-on: ${{ matrix.os }}
	strategy:
	matrix:
	os: [ubuntu-latest, windows-latest]
	python-version: [ "3.8", "3.9", "3.10" ]

	steps:
	- uses: actions/[email protected]

	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}

	#----------------------------------------------
	# install & configure poetry
	#----------------------------------------------
	- name: Install Poetry
	uses: snok/install-poetry@v1
	with:
	version: 1.6.1

	- name: Windows specific step.
	if: matrix.os == 'windows-latest'
	run: echo "${HOME}/.local/bin" \| Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append

	#----------------------------------------------
	# install dependencies if cache does not exist
	#----------------------------------------------
	- name: Install dependencies
	run: \|
	poetry add setuptools@latest
	poetry install --no-interaction

	- name: Check code quality with flake8
	run: poetry run tox -e flake8

	- name: Check static typing with MyPy
	run: poetry run tox -e mypy

	- name: Test with pytest and generate coverage file
	run: poetry run tox -e py

	#-----------------------------------------------------
	# QC with pandas 1.x.x
	# Note: The lock file will always have pandas > 2.0.0
	#-----------------------------------------------------
	- name: Test with pandas<2.0.0
	run: \|
	poetry add "pandas<2.0.0"
	poetry run tox -e py

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