Skip to content

BUG: Fix segfault on dir of a DataFrame with a unicode surrogate character in the column name #32701

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 6 commits into from
Mar 19, 2020
Merged

BUG: Fix segfault on dir of a DataFrame with a unicode surrogate character in the column name #32701

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
bf5d59e
Fix segfault on dir of a DataFrame with an unicode surrogate characte…
roberthdevries Mar 11, 2020
611cca9
Fix failing test, the separator in the data is actually a tab, not a …
roberthdevries Mar 14, 2020
6a3e986
Pushed the fix a bit higher up in the call chain to prevent unneeded …
roberthdevries Mar 15, 2020
27da130
Fix linting error
roberthdevries Mar 15, 2020
a52e59c
Performance fix
roberthdevries Mar 18, 2020
b2593bd
Remove nogil on PyErr_Clear()
roberthdevries Mar 18, 2020
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
1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.1.0.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -402,6 +402,7 @@ Other
- Fixed :func:`pandas.testing.assert_series_equal` to correctly raise if left object is a different subclass with ``check_series_type=True`` (:issue:`32670`).
- :meth:`IntegerArray.astype` now supports ``datetime64`` dtype (:issue:32538`)
- Fixed bug in :func:`pandas.testing.assert_series_equal` where dtypes were checked for ``Interval`` and ``ExtensionArray`` operands when ``check_dtype`` was ``False`` (:issue:`32747`)
- Bug in :meth:`DataFrame.__dir__` caused a segfault when using unicode surrogates in a column name (:issue:`25509`)

.. ---------------------------------------------------------------------------

Expand Down
6 changes: 6 additions & 0 deletions pandas/_libs/hashtable_class_helper.pxi.in
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,9 @@ WARNING: DO NOT edit .pxi FILE directly, .pxi is generated from .pxi.in
from pandas._libs.tslibs.util cimport get_c_string
from pandas._libs.missing cimport C_NA

cdef extern from "Python.h":
void PyErr_Clear()

{{py:

# name, dtype, c_type
Expand Down Expand Up @@ -790,6 +793,9 @@ cdef class StringHashTable(HashTable):
else:
# if ignore_na is False, we also stringify NaN/None/etc.
v = get_c_string(<str>val)
if v == NULL:
PyErr_Clear()
v = get_c_string(<str>repr(val))
vecs[i] = v

# compute
Expand Down
8 changes: 8 additions & 0 deletions pandas/tests/frame/test_api.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,6 +127,14 @@ def test_not_hashable(self):
with pytest.raises(TypeError, match=msg):
hash(empty_frame)

def test_column_name_contains_unicode_surrogate(self):
# GH 25509
colname = "\ud83d"
df = DataFrame({colname: []})
# this should not crash
assert colname not in dir(df)
assert df.columns[0] == colname

def test_new_empty_index(self):
df1 = DataFrame(np.random.randn(0, 3))
df2 = DataFrame(np.random.randn(0, 3))
Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/io/parser/test_dtypes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -192,7 +192,7 @@ def test_categorical_dtype_utf16(all_parsers, csv_dir_path):
pth = os.path.join(csv_dir_path, "utf16_ex.txt")
parser = all_parsers
encoding = "utf-16"
sep = ","
sep = "\t"
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

why did this change?

Copy link
Contributor Author

@roberthdevries roberthdevries Mar 17, 2020 •
edited
Loading

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This test failed for some reason. So when I investigated this I noticed that the separator in this file is a tab rather than a ,. So I changed this and the test passed. I am not sure what caused the failure, but I think that the test was wrong to begin with and there is some weird feature interaction that caused the failure.

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Hmm yea very strange. I guess since there isn't a comma in this file at all it just reads every line into a single column....


expected = parser.read_csv(pth, sep=sep, encoding=encoding)
expected = expected.apply(Categorical)
Expand Down