fix bug for partial_fit when the number of batch samples is less than n_comp #493

	name: Benchmark

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

	jobs:
	benchmark:
	runs-on: ${{ matrix.os }}
	defaults:
	run:
	shell: bash -e {0} # -e to fail on error

	strategy:
	fail-fast: false
	matrix:
	python: ["3.12"]
	os: [ubuntu-latest]

	env:
	OS: ${{ matrix.os }}
	PYTHON: ${{ matrix.python }}
	ASV_DIR: "./benchmarks"

	steps:
	- uses: actions/checkout@v4
	with:
	fetch-depth: 0
	filter: blob:none

	- name: Fetch main branch for `asv run`’s hash
	run: git fetch origin main:main
	if: ${{ github.ref_name != 'main' }}

	- name: Set up Python ${{ matrix.python }}
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python }}
	cache: 'pip'

	- name: Cache datasets
	uses: actions/cache@v4
	with:
	path: \|
	~/.cache
	key: benchmark-state-${{ hashFiles('benchmarks/**') }}

	- name: Install dependencies
	# TODO: revert once this PR is merged: https://github.com/airspeed-velocity/asv/pull/1397
	run: pip install 'asv @ git+https://github.com/ivirshup/asv@fix-conda-usage'

	- name: Configure ASV
	working-directory: ${{ env.ASV_DIR }}
	run: asv machine --yes

	- name: Quick benchmark run
	working-directory: ${{ env.ASV_DIR }}
	run: asv run --dry-run --quick --show-stderr --verbose HEAD^!

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