[StreamingDataLoader, 3/N] feat: implement StreamingDataSet and StreamingDataLoader #28

	# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
	# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python

	name: Python package

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

	jobs:
	build:
	runs-on: ubuntu-latest
	timeout-minutes: 10
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.11"]

	steps:
	- uses: actions/checkout@v4
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v3
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	python -m pip install flake8 pytest build pytest_asyncio
	python -m build --wheel
	pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
	pip install dist/*.whl
	- name: Lint with flake8
	run: \|
	# stop the build if there are Python syntax errors or undefined names
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
	# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
	flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
	- name: Test with pytest (TQ_ZERO_COPY_SERIALIZATION=False)
	run: \|
	pytest
	- name: Test with pytest (TQ_ZERO_COPY_SERIALIZATION=True)
	run: \|
	ray stop --force
	export TQ_ZERO_COPY_SERIALIZATION=True
	pytest

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