test_cloud_optimize fails with TypeError: 'int' object is not iterable

[hendrikmakait]

CI Run: https://github.com/coiled/benchmarks/actions/runs/11800653821/job/32872068359#step:9:60 based on git-tip
Cluster:
This still works on the baseline (https://github.com/coiled/benchmarks/actions/runs/11801205071/job/32873962659#step:8:54)

________________________ test_cloud_optimize[execution] ________________________
[gw1] linux -- Python 3.10.15 /home/runner/miniconda3/envs/test/bin/python3.10

scale = 'small', s3 = <s3fs.core.S3FileSystem object at 0x7f30be934a[60](https://github.com/coiled/benchmarks/actions/runs/11800653821/job/32872068359#step:9:61)>
s3_url = 's3://coiled-runtime-ci/test-scratch/test_cloud_optimize-46aa3420d8b24a36a882d633311ba030'
setup_benchmark = <function setup_benchmark.<locals>._ at 0x7f30bcf952d0>
cluster_kwargs = ***'region': 'us-west-2', 'workspace': 'dask-benchmarks'***
scale_kwargs = ***'large': ***'n_workers': 200***, 'medium': ***'n_workers': 100***, 'small': ***'n_workers': 10***

    def test_cloud_optimize(
        scale,
        s3,
        s3_url,
        setup_benchmark,
        cluster_kwargs=***
            "workspace": "dask-benchmarks",
            "region": "us-west-2",
        ***,
        scale_kwargs=***
            "small": ***"n_workers": 10***,
            "medium": ***"n_workers": 100***,
            "large": ***"n_workers": 200***,
        ***,
    ):
        with setup_benchmark(
            **scale_kwargs[scale], **cluster_kwargs
        ) as benchmark:  # noqa: F841
>           benchmark(cloud_optimize, scale, s3fs=s3, storage_url=s3_url)

tests/geospatial/test_cloud_optimize.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/geospatial/conftest.py:73: in benchmark_execution
    func(*args, **kwargs).compute()
tests/geospatial/workloads/cloud_optimize.py:[72](https://github.com/coiled/benchmarks/actions/runs/11800653821/job/32872068359#step:9:73): in cloud_optimize
    ds = xr.open_mfdataset(
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/api.py:1539: in open_mfdataset
    paths = _find_absolute_paths(paths, engine=engine, **kwargs)
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:148: in _find_absolute_paths
    return _normalize_path_list(paths)
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:139: in _normalize_path_list
    return [
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:143: in <listcomp>
    else _normalize_path_list(p)
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:139: in _normalize_path_list
    return [
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:143: in <listcomp>
    else _normalize_path_list(p)
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:139: in _normalize_path_list
    return [
../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:143: in <listcomp>
    else _normalize_path_list(p)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

lpaths = 137

    def _normalize_path_list(
        lpaths: NestedSequence[str | os.PathLike],
    ) -> NestedSequence[str]:
>       return [
            (
                _normalize_path(p)
                if isinstance(p, str | os.PathLike)
                else _normalize_path_list(p)
            )
            for p in lpaths
        ]
E       TypeError: 'int' object is not iterable

../../../miniconda3/envs/test/lib/python3.10/site-packages/xarray/backends/common.py:139: TypeError

[phofl]

pydata/xarray#9784

[phofl]

PR opened here: pydata/xarray#9785