Support training for latency based anomalies specifically for perf-anomaly #1231

	name: Coverage

	on:
	push:
	branches: [ "main" ]
	pull_request:
	branches: [ "main" ]

	jobs:
	build:
	name: Codecov
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.9"]

	steps:
	- uses: actions/checkout@v3

	- name: Install poetry
	run: pipx install poetry==1.6.1

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

	- name: Install dependencies
	run: \|
	poetry env use ${{ matrix.python-version }}
	poetry install --all-extras --with dev
	poetry run pip install "torch<3.0" -i https://download.pytorch.org/whl/cpu
	poetry run pip install "pytorch-lightning<3.0"

	- name: Run Coverage
	run: \|
	poetry run pytest --cov-report=xml --cov=numalogic --cov-config .coveragerc tests/ -sq

	- name: Upload Coverage
	uses: codecov/codecov-action@v4
	with:
	token: ${{ secrets.CODECOV_TOKEN }}
	files: ./coverage.xml
	fail_ci_if_error: true
	verbose: true

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