BUG: Python crashes with bad function arguments

[labodyn]

Code Sample, a copy-pastable example if possible

import pandas as pd
s = pd.Series(range(10))
s.rolling(0).min()

Problem description

Python crashes instead of raising an Exception

Expected Output

raising an Exception

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-33-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: None
pip: 10.0.1
setuptools: 39.2.0
Cython: None
numpy: 1.15.0
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.2.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

[WillAyd]

Can you try on master? I got the following on macOS:

In [1]: import pandas as pd
   ...: s = pd.Series(range(10))
   ...: s.rolling(0).min()
   ...: 
Out[1]: 
0   NaN
1   NaN
2   NaN
3   NaN
4   NaN
5   NaN
6   NaN
7   NaN
8   NaN
9   NaN
dtype: float64

[labodyn]

Python crashes on master when executing code sample.

*** Error in `python': free(): invalid next size (fast): 0x000055ffdc1384b0 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f3bb9d8c7e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f3bb9d9537a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f3bb9d9953c]
/home/lander/pandas/pandas/_libs/window.cpython-37m-x86_64-linux-gnu.so(+0x26d28)[0x7f3b98d44d28]
/home/lander/pandas/pandas/_libs/window.cpython-37m-x86_64-linux-gnu.so(+0x71476)[0x7f3b98d8f476]
/home/lander/pandas/pandas/_libs/window.cpython-37m-x86_64-linux-gnu.so(+0x73316)[0x7f3b98d91316]
/home/lander/pandas/pandas/_libs/algos.cpython-37m-x86_64-linux-gnu.so(+0x4bce5)[0x7f3b9bab6ce5]

INSTALLED VERSIONS ------------------ commit: 1a12c41 python: 3.7.0.final.0 python-bits: 64 OS: Linux OS-release: 4.15.0-34-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.24.0.dev0+608.g1a12c41
pytest: None
pip: 10.0.1
setuptools: 40.2.0
Cython: 0.28.5
numpy: 1.15.1
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None

[labodyn]

I have the bug both locally and on AWS.

[TomAugspurger]

Did you install from our wheel on PyPI, or conda, or source?

[labodyn]

installed from source, followed the install from github

[TomAugspurger]

What's ldd --version and what version of gcc?

[labodyn]

ldd (Ubuntu GLIBC 2.23-0ubuntu10) 2.23
Copyright (C) 2016 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Written by Roland McGrath and Ulrich Drepper.

gcc (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

[simonjayhawkins]

Can you try on master? I got the following on macOS:

just dies on Windows also..

$ python
Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.25.0rc0+59.g0437f6899'
>>> s = pd.Series(range(10))
>>> s.rolling(0).min()
(pandas-dev)

[alimcmaster1]

I get the same on same on Linux:

python           : 3.7.2.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.4.0-142-generic
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_GB.UTF-8
LOCALE           : en_GB.UTF-8

Backtrace

*** Error in `python': free(): invalid next size (fast): 0x0000557805a6df60 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7fd0871397e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7fd08714237a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7fd08714653c]
/home/alistair/dev-proj/pandas/pandas/_libs/window/aggregations.cpython-37m-x86_64-linux-gnu.so(+0x25c08)[0x7fd076708c08]
/home/alistair/dev-proj/pandas/pandas/_libs/window/aggregations.cpython-37m-x86_64-linux-gnu.so(+0x26663)[0x7fd076709663]
python(PyCFunction_Call+0x65)[0x557803ef9ef5]
python(+0x21aef7)[0x557803fd8ef7]
python(_PyObject_FastCallKeywords+0x49b)[0x557803f3846b]
python(_PyEval_EvalFrameDefault+0x4b86)[0x557803f92646]
python(_PyEval_EvalCodeWithName+0xab9)[0x557803ed3899]
python(_PyFunction_FastCallKeywords+0x387)[0x557803f37157]
python(_PyEval_EvalFrameDefault+0x6e6)[0x557803f8e1a6]
python(_PyEval_EvalCodeWithName+0xab9)[0x557803ed3899]
python(_PyFunction_FastCallDict+0x3dc)[0x557803ed43bc]
python(_PyObject_Call_Prepend+0x63)[0x557803eeb473]
python(PyObject_Call+0x6e)[0x557803ee019e]
python(_PyEval_EvalFrameDefault+0x1f3f)[0x557803f8f9ff]
python(_PyEval_EvalCodeWithName+0x2f9)[0x557803ed30d9]
python(_PyFunction_FastCallDict+0x1d4)[0x557803ed41b4]
python(_PyObject_Call_Prepend+0x63)[0x557803eeb473]
python(PyObject_Call+0x6e)[0x557803ee019e]
python(_PyEval_EvalFrameDefault+0x1f3f)[0x557803f8f9ff]
python(_PyEval_EvalCodeWithName+0x5da)[0x557803ed33ba]
python(_PyFunction_FastCallKeywords+0x387)[0x557803f37157]
python(_PyEval_EvalFrameDefault+0x4aa1)[0x557803f92561]
python(_PyEval_EvalCodeWithName+0x2f9)[0x557803ed30d9]
python(PyEval_EvalCodeEx+0x44)[0x557803ed3fa4]
python(PyEval_EvalCode+0x1c)[0x557803ed3fcc]
python(+0x22f664)[0x557803fed664]
python(+0xf43ea)[0x557803eb23ea]
python(PyRun_InteractiveLoopFlags+0xf3)[0x557803eb25a0]
python(+0xf4640)[0x557803eb2640]
python(+0xf50f5)[0x557803eb30f5]
python(_Py_UnixMain+0x3c)[0x557803ff8c4c]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf0)[0x7fd0870e2830]
python(+0x1df982)[0x557803f9d982]

[mroeschke]

I think this may be fixed on master now. Tested on Google Colab (Linux) and worked okay

import pandas as pd
print(pd.__version__)
print(pd.Series(range(10)).rolling(0).min())
import platform; print(platform.uname())

1.1.2
0   NaN
1   NaN
2   NaN
3   NaN
4   NaN
5   NaN
6   NaN
7   NaN
8   NaN
9   NaN
dtype: float64
uname_result(system='Linux', node='4bdb5881c2e9', release='4.19.112+', version='#1 SMP Thu Jul 23 08:00:38 PDT 2020', machine='x86_64', processor='x86_64')

[Rasori]

I could not reproduce the error with latest master on linux.

import pandas as pd
print(pd.__version__)
print(pd.Series(range(10)).rolling(0).min())
import platform; print(platform.uname())

1.3.0.dev0+592.g9c33e5e4f
0   NaN
1   NaN
2   NaN
3   NaN
4   NaN
5   NaN
6   NaN
7   NaN
8   NaN
9   NaN
dtype: float64
uname_result(system='Linux', node='Tupsulakki', release='5.8.0-41-generic', version='#46-Ubuntu SMP Mon Jan 18 16:48:44 UTC 2021', machine='x86_64', processor='x86_64')

[JannickTie]

Works fine on Windows with latest master

import pandas as pd
print(pd.__version__)
print(pd.Series(range(10)).rolling(0).min())
import platform; print(platform.uname())

1.3.0.dev0+1501.g70352c2a23
0   NaN
1   NaN
2   NaN
3   NaN
4   NaN
5   NaN
6   NaN
7   NaN
8   NaN
9   NaN
dtype: float64
uname_result(system='Windows', node='Cube', release='10', version='10.0.19041', machine='AMD64', processor='Intel64 Family 6 Model 94 Stepping 3, GenuineIntel')