feat: Replace ambigous types with required type arguments #164

	name: CI

	on:
	push:
	branches: [main]
	pull_request:

	jobs:
	build:
	name: GHC ${{ matrix.ghc }}
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	ghc: ["9.6.7", "9.8.4", "9.10.3", "9.12.2"]

	steps:
	- uses: actions/checkout@v4

	- uses: haskell-actions/setup@v2
	id: setup
	with:
	ghc-version: ${{ matrix.ghc }}
	cabal-version: latest

	# dataframe-fusion's DataFusion crate links against bzip2, xz and zlib;
	# the default ubuntu-latest image doesn't ship the -dev packages.
	- name: Install system C libraries for dataframe-fusion
	run: \|
	sudo apt-get update
	sudo apt-get install -y --no-install-recommends \
	libbz2-dev liblzma-dev zlib1g-dev

	- name: Set LIBTORCH_HOME
	run: echo "LIBTORCH_HOME=$HOME/.cache/libtorch" >> $GITHUB_ENV

	# The repo's cabal.project already lists every satellite
	# (dataframe-core, dataframe-parsing, dataframe-operations,
	# dataframe-csv, dataframe-json, dataframe-parquet, dataframe-th,
	# dataframe-csv-th, dataframe-parquet-th, dataframe-viz,
	# dataframe-learn, dataframe-lazy) plus the meta package, examples,
	# and the pre-existing satellites. No regeneration needed.

	- name: Freeze
	run: cabal freeze

	- name: Cache
	uses: actions/cache@v4
	with:
	path: \|
	${{ steps.setup.outputs.cabal-store }}
	${{ env.LIBTORCH_HOME }}
	key: ${{ runner.os }}-ghc-${{ matrix.ghc }}-${{ hashFiles('cabal.project.freeze') }}
	restore-keys: ${{ runner.os }}-ghc-${{ matrix.ghc }}-

	- name: Build all packages
	run: \|
	./examples/setup_torch.sh
	cabal build all

	- name: Test all packages
	run: cabal test all

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