ci/scripts/integration_dask.sh

#!/usr/bin/env bash
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set -e

# check that optional pyarrow modules are available
# because pytest would just skip the dask tests
python -c "import pyarrow.orc"
python -c "import pyarrow.parquet"

# check that dask.dataframe is correctly installed
python -c "import dask.dataframe"

# TODO(kszucs): the following tests are also uses pyarrow
# pytest -sv --pyargs dask.bytes.tests.test_hdfs
# pytest -sv --pyargs dask.bytes.tests.test_local

# The "skip_with_pyarrow_strings" marker is meant to skip automatically, but that doesn't work with --pyargs, so de-selecting manually
# - The 'test_categorize_info' test is failing because of change in StringArray's nbytes and
#   an upstream fix (https://github.com/apache/arrow/issues/39028)
# - The 'test_describe_empty' test is flakey
#   upstream issue: https://github.com/dask/dask/issues/10672
# - The 'test_view' fails because we are not using the dev version of pandas
#   where pd.Series.view is deprecated (https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.view.html)
pytest -v --pyargs dask.dataframe.tests.test_dataframe -m "not skip_with_pyarrow_strings" \
  -k "not test_categorize_info and not test_describe_empty and not test_view"
pytest -v --pyargs dask.dataframe.io.tests.test_orc
pytest -v --pyargs dask.dataframe.io.tests.test_parquet \
  -m "not skip_with_pyarrow_strings and not xfail_with_pyarrow_strings"
# this file contains parquet tests that use S3 filesystem
pytest -v --pyargs dask.bytes.tests.test_s3