Add pd.DataFrame support, remove dataclass_wizard #12

	# 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: CI Test

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

	jobs:
	build:
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.9", "3.10", "3.11", "3.12"]

	steps:
	- uses: actions/checkout@v3
	- 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 poetry
	poetry install --with test
	- name: Lint with flake8
	run: \|
	# stop the build if there are Python syntax errors or undefined names
	poetry run flake8 . --count --per-file-ignores=vectors.py:F821 --select=E9,F63,F7,F82 --show-source --statistics
	# exit-zero treats all errors as warnings. Skip package import warnings.
	poetry run flake8 . --count --exit-zero --per-file-ignores=vectors.py:F821 --exclude=__init__.py --max-line-length=140 --statistics
	- name: Test with pytest
	env:
	TURBOPUFFER_API_KEY: ${{ secrets.TURBOPUFFER_TEST_API_KEY }}
	run: \|
	poetry run pytest

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