Skip to content

TST: Remove leftover file in test_compression #62695

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 14, 2025
Merged

TST: Remove leftover file in test_compression #62695

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 7 additions & 3 deletions pandas/tests/io/test_parquet.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -198,6 +198,8 @@ def check_round_trip(
repeat: int, optional
How many times to repeat the test
"""
if not isinstance(temp_file, pathlib.Path):
raise ValueError("temp_file must be a pathlib.Path")
write_kwargs = write_kwargs or {"compression": None}
read_kwargs = read_kwargs or {}

Expand Down Expand Up @@ -396,9 +398,11 @@ def test_columns_dtypes(self, engine, temp_file):
check_round_trip(df, temp_file, engine)

@pytest.mark.parametrize("compression", [None, "gzip", "snappy", "brotli"])
def test_compression(self, engine, compression):
def test_compression(self, engine, compression, temp_file):
df = pd.DataFrame({"A": [1, 2, 3]})
check_round_trip(df, engine, write_kwargs={"compression": compression})
check_round_trip(
df, temp_file, engine, write_kwargs={"compression": compression}
)

def test_read_columns(self, engine, temp_file):
# GH18154
Expand All @@ -424,8 +428,8 @@ def test_read_filters(self, engine, tmp_path):
expected = pd.DataFrame({"int": [0, 1]})
check_round_trip(
df,
tmp_path,
engine,
path=tmp_path,
expected=expected,
write_kwargs={"partition_cols": ["part"]},
read_kwargs={"filters": [("part", "==", "a")], "columns": ["int"]},
Expand Down
Loading