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1 change: 1 addition & 0 deletions pytest.ini
Original file line number Diff line number Diff line change
Expand Up @@ -8,3 +8,4 @@ testpaths =
markers =
gpu: marks tests that require GPUs (skipped by default, run with '--rungpu')
queries: marks tests that run test queries (skipped by default, run with '--runqueries')
xfail_strict=true
5 changes: 1 addition & 4 deletions tests/integration/test_create.py
Original file line number Diff line number Diff line change
Expand Up @@ -159,10 +159,7 @@ def test_create_from_query(c, df):
False,
pytest.param(
True,
marks=(
pytest.mark.gpu,
pytest.mark.xfail(reason="to_pandas() changes int precision"),
),
marks=pytest.mark.gpu,
),
],
)
Expand Down
5 changes: 0 additions & 5 deletions tests/integration/test_model.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,5 @@
import os
import pickle
import sys

import joblib
import pandas as pd
Expand Down Expand Up @@ -576,10 +575,6 @@ def test_mlflow_export(c, training_df, tmpdir):


# TODO - many ML tests fail on clusters without sklearn - can we avoid this?
@pytest.mark.xfail(
sys.platform == "win32",
reason="Windows is not officially supported for dask/xgboost",
)
@skip_if_external_scheduler
def test_mlflow_export_xgboost(c, client, training_df, tmpdir):
# Test only when mlflow & xgboost was installed
Expand Down
5 changes: 0 additions & 5 deletions tests/unit/test_queries.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@
import pytest

XFAIL_QUERIES = (
2,
4,
5,
6,
Expand All @@ -15,7 +14,6 @@
13,
14,
16,
17,
18,
20,
21,
Expand All @@ -32,7 +30,6 @@
39,
40,
41,
43,
44,
45,
47,
Expand All @@ -45,7 +42,6 @@
58,
59,
62,
64,
66,
67,
69,
Expand All @@ -54,7 +50,6 @@
73,
74,
75,
76,
77,
78,
80,
Expand Down