Hello, Please note that this comment was generated automatically by https://pagure.io/releng/blob/main/f/scripts/ftbfs-fti/follow-policy.py If you feel that this output has mistakes, please open an issue at https://pagure.io/releng/ Your package (python-cro) Fails To Install in Fedora 39: can't install python3-cro: - nothing provides python3.11dist(numpy) >= 1.13.1 needed by python3-cro-0.0.5.0-5.fc38.noarch - nothing provides python3.11dist(pandas) >= 0.20.3 needed by python3-cro-0.0.5.0-5.fc38.noarch - nothing provides python3.11dist(scikit-learn) >= 0.18 needed by python3-cro-0.0.5.0-5.fc38.noarch - nothing provides python3.11dist(matplotlib) needed by python3-cro-0.0.5.0-5.fc38.noarch - nothing provides python(abi) = 3.11 needed by python3-cro-0.0.5.0-5.fc38.noarch - nothing provides python3.11dist(scipy) >= 0.19 needed by python3-cro-0.0.5.0-5.fc38.noarch If you know about this problem and are planning on fixing it, please acknowledge so by setting the bug status to ASSIGNED. If you don't have time to maintain this package, consider orphaning it, so maintainers of dependent packages realize the problem. If you don't react accordingly to the policy for FTBFS/FTI bugs (https://docs.fedoraproject.org/en-US/fesco/Fails_to_build_from_source_Fails_to_install/), your package may be orphaned in 8+ weeks. P.S. The data was generated solely from koji buildroot, so it might be newer than the latest compose or the content on mirrors. To reproduce, use the koji/local repo only, e.g. in mock: $ mock -r fedora-39-x86_64 --config-opts mirrored=False install python3-cro P.P.S. If this bug has been reported in the middle of upgrading multiple dependent packages, please consider using side tags: https://docs.fedoraproject.org/en-US/fesco/Updates_Policy/#updating-inter-dependent-packages Thanks!
Tests fail: Example I: feature selection Classification (max auc): 15.074397802352905 seconds. ['Q25' 'IQR' 'skew' 'centroid' 'meanfun' 'maxfun' 'mindom'] Traceback (most recent call last): File "/builddir/build/BUILD/cro-0.0.5.0/examples/example_advanced.py", line 84, in <module> dataset = datasets.load_boston() ^^^^^^^^^^^^^^^^^^^^ File "/usr/lib64/python3.12/site-packages/sklearn/datasets/__init__.py", line 157, in __getattr__ raise ImportError(msg) ImportError: `load_boston` has been removed from scikit-learn since version 1.2. The Boston housing prices dataset has an ethical problem: as investigated in [1], the authors of this dataset engineered a non-invertible variable "B" assuming that racial self-segregation had a positive impact on house prices [2]. Furthermore the goal of the research that led to the creation of this dataset was to study the impact of air quality but it did not give adequate demonstration of the validity of this assumption. The scikit-learn maintainers therefore strongly discourage the use of this dataset unless the purpose of the code is to study and educate about ethical issues in data science and machine learning. In this special case, you can fetch the dataset from the original source:: import pandas as pd import numpy as np data_url = "http://lib.stat.cmu.edu/datasets/boston" raw_df = pd.read_csv(data_url, sep="\s+", skiprows=22, header=None) data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]]) target = raw_df.values[1::2, 2] Alternative datasets include the California housing dataset and the Ames housing dataset. You can load the datasets as follows:: from sklearn.datasets import fetch_california_housing housing = fetch_california_housing() for the California housing dataset and:: from sklearn.datasets import fetch_openml housing = fetch_openml(name="house_prices", as_frame=True) for the Ames housing dataset. [1] M Carlisle. "Racist data destruction?" <https://medium.com/@docintangible/racist-data-destruction-113e3eff54a8> [2] Harrison Jr, David, and Daniel L. Rubinfeld. "Hedonic housing prices and the demand for clean air." Journal of environmental economics and management 5.1 (1978): 81-102. <https://www.researchgate.net/publication/4974606_Hedonic_housing_prices_and_the_demand_for_clean_air> error: Bad exit status from /var/tmp/rpm-tmp.ndxM0i (%check) Bad exit status from /var/tmp/rpm-tmp.ndxM0i (%check)
Upstream has removed the failing test and released an update: https://github.com/VictorPelaez/coral-reef-optimization-algorithm/issues/64 I canceled the Koji build. Will update the package to latest release and drop the patch.
Fixed by: https://src.fedoraproject.org/rpms/python-cro/pull-request/2
FEDORA-2023-088865b383 has been submitted as an update to Fedora 39. https://bodhi.fedoraproject.org/updates/FEDORA-2023-088865b383
FEDORA-2023-088865b383 has been pushed to the Fedora 39 stable repository. If problem still persists, please make note of it in this bug report.