Source: sklearn-pandas
Version: 2.2.0-4
Severity: serious
Justification: FTBFS
Tags: trixie sid ftbfs
User: lucas@debian.org
Usertags: ftbfs-20250414 ftbfs-trixie

Hi,

During a rebuild of all packages in testing (trixie), your package failed
to build on i386.


Relevant part (hopefully):

debian/rules binary
dh binary --buildsystem=pybuild
dh_update_autotools_config -O--buildsystem=pybuild
dh_autoreconf -O--buildsystem=pybuild
dh_auto_configure -O--buildsystem=pybuild
pybuild --configure -i python{version} -p 3.13
I: pybuild base:311: python3.13 setup.py config /build/reproducible-path/sklearn-pandas-2.2.0/setup.py:5: SetuptoolsDeprecationWarning: The test command is disabled and references to it are deprecated.
!!

********************************************************************************
Please remove any references to `setuptools.command.test` in all supported versions of the affected package.

This deprecation is overdue, please update your project and remove deprecated
calls to avoid build errors in the future.
********************************************************************************

!!
from setuptools.command.test import test as TestCommand /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'tests_require'
warnings.warn(msg)
running config
dh_auto_build -O--buildsystem=pybuild
pybuild --build -i python{version} -p 3.13
I: pybuild base:311: /usr/bin/python3 setup.py build /build/reproducible-path/sklearn-pandas-2.2.0/setup.py:5: SetuptoolsDeprecationWarning: The test command is disabled and references to it are deprecated.
!!

********************************************************************************
Please remove any references to `setuptools.command.test` in all supported versions of the affected package.

This deprecation is overdue, please update your project and remove deprecated
calls to avoid build errors in the future.
********************************************************************************

!!
from setuptools.command.test import test as TestCommand /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'tests_require'
warnings.warn(msg)
running build
running build_py
creating /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/pipeline.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/dataframe_mapper.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/cross_validation.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/transformers.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/features_generator.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
copying sklearn_pandas/__init__.py -> /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas
dh_auto_test -O--buildsystem=pybuild
pybuild --test --test-pytest -i python{version} -p 3.13
I: pybuild base:311: cd /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build; python3.13 -m pytest ; cd /build/reproducible-path/sklearn-pandas-2.2.0; python3.13 -m doctest -v README.rst
============================= test session starts ==============================
platform linux -- Python 3.13.2, pytest-8.3.5, pluggy-1.5.0
rootdir: /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build
configfile: pytest.ini
plugins: typeguard-4.4.2
collected 69 items

tests/test_dataframe_mapper.py ......................................... [ 59%]
.................. [ 85%]
tests/test_features_generator.py .... [ 91%]
tests/test_pipeline.py .... [ 97%]
tests/test_transformers.py .. [100%]

=============================== warnings summary ===============================
tests/test_dataframe_mapper.py::test_sparse_features
/build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/tests/test_dataframe_mapper.py:820: DeprecationWarning: Please import `csr_matrix` from the `scipy.sparse` namespace; the `scipy.sparse.csr` namespace is

deprecated and will be removed in SciPy 2.0.0.

assert type(dmatrix) == sparse.csr.csr_matrix

tests/test_dataframe_mapper.py::test_sparse_off
/build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/tests/test_dataframe_mapper.py:834: DeprecationWarning: Please import `csr_matrix` from the `scipy.sparse` namespace; the `scipy.sparse.csr` namespace is

deprecated and will be removed in SciPy 2.0.0.

assert type(dmatrix) != sparse.csr.csr_matrix

tests/test_transformers.py::test_common_numerical_transformer tests/test_transformers.py::test_numerical_transformer_serialization
/build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build/sklearn_pandas/transformers.py:35: DeprecationWarning:
NumericalTransformer will be deprecated in 3.0 version.
Please use Sklearn.base.TransformerMixin to write
customer transformers

warnings.warn("""

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ======================== 69 passed, 4 warnings in 8.10s ========================
Trying:
from sklearn_pandas import DataFrameMapper
Expecting nothing
ok
Trying:
import pandas as pd
Expecting nothing
ok
Trying:
import numpy as np
Expecting nothing
ok
Trying:
import sklearn.preprocessing, sklearn.decomposition, \
sklearn.linear_model, sklearn.pipeline, sklearn.metrics, \
sklearn.compose
Expecting nothing
ok
Trying:
from sklearn.feature_extraction.text import CountVectorizer
Expecting nothing
ok
Trying:
data = pd.DataFrame({'pet': ['cat', 'dog', 'dog', 'fish', 'cat', 'dog', 'cat', 'fish'],
'children': [4., 6, 3, 3, 2, 3, 5, 4],
'salary': [90., 24, 44, 27, 32, 59, 36, 27]}) Expecting nothing
ok
Trying:
mapper = DataFrameMapper([
('pet', sklearn.preprocessing.LabelBinarizer()),
(['children'], sklearn.preprocessing.StandardScaler())
])
Expecting nothing
ok
Trying:
data['children'].shape
Expecting:
(8,)
ok
Trying:
data[['children']].shape
Expecting:
(8, 1)
ok
Trying:
np.round(mapper.fit_transform(data.copy()), 2)
Expecting:
array([[ 1. , 0. , 0. , 0.21],
[ 0. , 1. , 0. , 1.88],
[ 0. , 1. , 0. , -0.63],
[ 0. , 0. , 1. , -0.63],
[ 1. , 0. , 0. , -1.46],
[ 0. , 1. , 0. , -0.63],
[ 1. , 0. , 0. , 1.04],
[ 0. , 0. , 1. , 0.21]])
ok
Trying:
sample = pd.DataFrame({'pet': ['cat'], 'children': [5.]})
Expecting nothing
ok
Trying:
np.round(mapper.transform(sample), 2)
Expecting:
array([[1. , 0. , 0. , 1.04]])
ok
Trying:
mapper.transformed_names_
Expecting:
['pet_cat', 'pet_dog', 'pet_fish', 'children']
ok
Trying:
mapper_alias = DataFrameMapper([
(['children'], sklearn.preprocessing.StandardScaler(),
{'alias': 'children_scaled'})
])
Expecting nothing
ok
Trying:
_ = mapper_alias.fit_transform(data.copy())
Expecting nothing
ok
Trying:
mapper_alias.transformed_names_
Expecting:
['children_scaled']
ok
Trying:
mapper_alias = DataFrameMapper([
(['children'], sklearn.preprocessing.StandardScaler(), {'prefix': 'standard_scaled_'}),
(['children'], sklearn.preprocessing.StandardScaler(), {'suffix': '_raw'})
])
Expecting nothing
ok
Trying:
_ = mapper_alias.fit_transform(data.copy())
Expecting nothing
ok
Trying:
mapper_alias.transformed_names_
Expecting:
['standard_scaled_children', 'children_raw']
ok
Trying:
class GetColumnsStartingWith:
def __init__(self, start_str):
self.pattern = start_str

def __call__(self, X:pd.DataFrame=None):
return [c for c in X.columns if c.startswith(self.pattern)]
Expecting nothing
ok
Trying:
df = pd.DataFrame({
'sepal length (cm)': [1.0, 2.0, 3.0],
'sepal width (cm)': [1.0, 2.0, 3.0],
'petal length (cm)': [1.0, 2.0, 3.0],
'petal width (cm)': [1.0, 2.0, 3.0]
})
Expecting nothing
ok
Trying:
t = DataFrameMapper([
(
sklearn.compose.make_column_selector(dtype_include=float),
sklearn.preprocessing.StandardScaler(),
{'alias': 'x'}
),
(
GetColumnsStartingWith('petal'),
None,
{'alias': 'petal'}
)], df_out=True, default=False)
Expecting nothing
ok
Trying:
t.fit(df).transform(df).shape
Expecting:
(3, 6)
ok
Trying:
t.transformed_names_
Expecting:
['x_0', 'x_1', 'x_2', 'x_3', 'petal_0', 'petal_1']
ok
Trying:
from sklearn.base import TransformerMixin
Expecting nothing
ok
Trying:
class DateEncoder(TransformerMixin):
def fit(self, X, y=None):
return self

def transform(self, X):
dt = X.dt
return pd.concat([dt.year, dt.month, dt.day], axis=1)
Expecting nothing
ok
Trying:
dates_df = pd.DataFrame(
{'dates': pd.date_range('2015-10-30', '2015-11-02')})
Expecting nothing
ok
Trying:
mapper_dates = DataFrameMapper([
('dates', DateEncoder())
], input_df=True)
Expecting nothing
ok
Trying:
mapper_dates.fit_transform(dates_df)
Expecting:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]], dtype=int32) **********************************************************************
File "README.rst", line 228, in README.rst
Failed example:
mapper_dates.fit_transform(dates_df)
Expected:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]], dtype=int32)
Got:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]])
Trying:
mapper_dates = DataFrameMapper([
('dates', DateEncoder(), {'input_df': True})
])
Expecting nothing
ok
Trying:
mapper_dates.fit_transform(dates_df)
Expecting:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]], dtype=int32) **********************************************************************
File "README.rst", line 240, in README.rst
Failed example:
mapper_dates.fit_transform(dates_df)
Expected:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]], dtype=int32)
Got:
array([[2015, 10, 30],
[2015, 10, 31],
[2015, 11, 1],
[2015, 11, 2]])
Trying:
mapper_df = DataFrameMapper([
('pet', sklearn.preprocessing.LabelBinarizer()),
(['children'], sklearn.preprocessing.StandardScaler())
], df_out=True)
Expecting nothing
ok
Trying:
np.round(mapper_df.fit_transform(data.copy()), 2)
Expecting:
pet_cat pet_dog pet_fish children
0 1 0 0 0.21
1 0 1 0 1.88
2 0 1 0 -0.63
3 0 0 1 -0.63
4 1 0 0 -1.46
5 0 1 0 -0.63
6 1 0 0 1.04
7 0 0 1 0.21
ok
Trying:
mapper_df = DataFrameMapper([
('pet', sklearn.preprocessing.LabelBinarizer()),
(['children'], sklearn.preprocessing.StandardScaler())
], drop_cols=['salary'])
Expecting nothing
ok
Trying:
np.round(mapper_df.fit_transform(data.copy()), 1)
Expecting:
array([[ 1. , 0. , 0. , 0.2],
[ 0. , 1. , 0. , 1.9],
[ 0. , 1. , 0. , -0.6],
[ 0. , 0. , 1. , -0.6],
[ 1. , 0. , 0. , -1.5],
[ 0. , 1. , 0. , -0.6],
[ 1. , 0. , 0. , 1. ],
[ 0. , 0. , 1. , 0.2]])
ok
Trying:
mapper2 = DataFrameMapper([
(['children', 'salary'], sklearn.decomposition.PCA(1))
])
Expecting nothing
ok
Trying:
np.round(mapper2.fit_transform(data.copy()), 1)
Expecting:
array([[ 47.6],
[-18.4],
[ 1.6],
[-15.4],
[-10.4],
[ 16.6],
[ -6.4],
[-15.4]])
ok
Trying:
from sklearn.impute import SimpleImputer
Expecting nothing
ok
Trying:
mapper3 = DataFrameMapper([
(['age'], [SimpleImputer(),
sklearn.preprocessing.StandardScaler()])])
Expecting nothing
ok
Trying:
data_3 = pd.DataFrame({'age': [1, np.nan, 3]})
Expecting nothing
ok
Trying:
mapper3.fit_transform(data_3)
Expecting:
array([[-1.22474487],
[ 0. ],
[ 1.22474487]])
ok
Trying:
mapper3 = DataFrameMapper([
('pet', sklearn.preprocessing.LabelBinarizer()),
('children', None)
])
Expecting nothing
ok
Trying:
np.round(mapper3.fit_transform(data.copy()))
Expecting:
array([[1., 0., 0., 4.],
[0., 1., 0., 6.],
[0., 1., 0., 3.],
[0., 0., 1., 3.],
[1., 0., 0., 2.],
[0., 1., 0., 3.],
[1., 0., 0., 5.],
[0., 0., 1., 4.]])
ok
Trying:
mapper4 = DataFrameMapper([
('pet', sklearn.preprocessing.LabelBinarizer()),
('children', None)
], default=sklearn.preprocessing.StandardScaler())
Expecting nothing
ok
Trying:
np.round(mapper4.fit_transform(data.copy()), 1)
Expecting:
array([[ 1. , 0. , 0. , 4. , 2.3],
[ 0. , 1. , 0. , 6. , -0.9],
[ 0. , 1. , 0. , 3. , 0.1],
[ 0. , 0. , 1. , 3. , -0.7],
[ 1. , 0. , 0. , 2. , -0.5],
[ 0. , 1. , 0. , 3. , 0.8],
[ 1. , 0. , 0. , 5. , -0.3],
[ 0. , 0. , 1. , 4. , -0.7]])
ok
Trying:
from sklearn_pandas import gen_features
Expecting nothing
ok
Trying:
feature_def = gen_features(
columns=['col1', 'col2', 'col3'],
classes=[sklearn.preprocessing.LabelEncoder]
)
Expecting nothing
ok
Trying:
feature_def
Expecting:
[('col1', [LabelEncoder()], {}), ('col2', [LabelEncoder()], {}), ('col3', [LabelEncoder()], {})]
ok
Trying:
mapper5 = DataFrameMapper(feature_def)
Expecting nothing
ok
Trying:
data5 = pd.DataFrame({
'col1': ['yes', 'no', 'yes'],
'col2': [True, False, False],
'col3': ['one', 'two', 'three']
})
Expecting nothing
ok
Trying:
mapper5.fit_transform(data5)
Expecting:
array([[1, 1, 0],
[0, 0, 2],
[1, 0, 1]])
ok
Trying:
from sklearn.impute import SimpleImputer
Expecting nothing
ok
Trying:
import numpy as np
Expecting nothing
ok
Trying:
feature_def = gen_features(
columns=[['col1'], ['col2'], ['col3']],
classes=[{'class': SimpleImputer, 'strategy':'most_frequent'}]
)
Expecting nothing
ok
Trying:
mapper6 = DataFrameMapper(feature_def)
Expecting nothing
ok
Trying:
data6 = pd.DataFrame({
'col1': [np.nan, 1, 1, 2, 3],
'col2': [True, False, np.nan, np.nan, True],
'col3': [0, 0, 0, np.nan, np.nan]
})
Expecting nothing
ok
Trying:
mapper6.fit_transform(data6)
Expecting:
array([[1.0, True, 0.0],
[1.0, False, 0.0],
[1.0, True, 0.0],
[2.0, True, 0.0],
[3.0, True, 0.0]], dtype=object)
ok
Trying:
feature_def = gen_features(
columns=['col1', 'col2', 'col3'],
classes=[sklearn.preprocessing.LabelEncoder],
prefix="lblencoder_"
)
Expecting nothing
ok
Trying:
mapper5 = DataFrameMapper(feature_def)
Expecting nothing
ok
Trying:
data5 = pd.DataFrame({
'col1': ['yes', 'no', 'yes'],
'col2': [True, False, False],
'col3': ['one', 'two', 'three']
})
Expecting nothing
ok
Trying:
_ = mapper5.fit_transform(data5)
Expecting nothing
ok
Trying:
mapper5.transformed_names_
Expecting:
['lblencoder_col1', 'lblencoder_col2', 'lblencoder_col3']
ok
Trying:
from sklearn.feature_selection import SelectKBest, chi2
Expecting nothing
ok
Trying:
mapper_fs = DataFrameMapper([(['children','salary'], SelectKBest(chi2, k=1))])
Expecting nothing
ok
Trying:
mapper_fs.fit_transform(data[['children','salary']], data['pet']) Expecting:
array([[90.],
[24.],
[44.],
[27.],
[32.],
[59.],
[36.],
[27.]])
ok
Trying:
mapper5 = DataFrameMapper([
('pet', CountVectorizer()),
], sparse=True)
Expecting nothing
ok
Trying:
type(mapper5.fit_transform(data))
Expecting:
<class 'scipy.sparse._csr.csr_matrix'>
ok
Trying:
from sklearn_pandas import NumericalTransformer
Expecting nothing
ok
Trying:
mapper5 = DataFrameMapper([
('children', NumericalTransformer('log')),
])
Expecting nothing
ok
Trying:
mapper5.fit_transform(data)
Expecting:
array([[1.38629436],
[1.79175947],
[1.09861229],
[1.09861229],
[0.69314718],
[1.09861229],
[1.60943791],
[1.38629436]])
ok
Trying:
import logging
Expecting nothing
ok
Trying:
logging.getLogger('sklearn_pandas').setLevel(logging.INFO)
Expecting nothing
ok
**********************************************************************
1 item had failures:
2 of 72 in README.rst
72 tests in 1 item.
70 passed and 2 failed.
***Test Failed*** 2 failures.
E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd /build/reproducible-path/sklearn-pandas-2.2.0/.pybuild/cpython3_3.13_sklearn-pandas/build; python3.13 -m pytest ; cd {dir}; python{version} -m doctest -v README.rst
rm -fr -- /tmp/dh-xdg-rundir-pdmJDH4k
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.13 returned exit code 13

The full build log is available from: http://qa-logs.debian.net/2025/04/14/sklearn-pandas_2.2.0-4_testing-i386.log

All bugs filed during this archive rebuild are listed at: https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20250414;users=lucas@debian.org
or: https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20250414&fusertaguser=lucas@debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results

A list of current common problems and possible solutions is available at http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!

If you reassign this bug to another package, please mark it as 'affects'-ing this package. See https://www.debian.org/Bugs/server-control#affects

If you fail to reproduce this, please provide a build log and diff it with mine so that we can identify if something relevant changed in the meantime.

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Your message dated Fri, 16 May 2025 10:49:05 +0000
with message-id <E1uFscj-006rPE-1Y@fasolo.debian.org>
and subject line Bug#1103099: fixed in sklearn-pandas 2.2.0-5
has caused the Debian Bug report #1103099,
regarding sklearn-pandas: FTBFS in testing/i386: dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.13 returned exit code 13
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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--
1103099: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1103099
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems

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