[Snyk] Security upgrade anyio from 3.7.1 to 4.4.0 #149
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This PR was automatically created by Snyk using the credentials of a real user.
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Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.
Snyk changed the following file(s):
requirements.txt
⚠️ Warning
``` xarray 0.20.2 has requirement pandas>=1.1, but you have pandas 0.23.4. statsmodels 0.13.5 has requirement scipy>=1.3; (python_version > "3.9" or platform_system != "Windows" or platform_machine != "x86") and python_version < "3.12", but you have scipy 1.1.0. statsmodels 0.13.5 has requirement scipy<1.8,>=1.3; python_version == "3.7", but you have scipy 1.1.0. statsmodels 0.13.5 has requirement pandas>=0.25, but you have pandas 0.23.4. spacy 3.7.5 requires thinc, which is not installed. spacy 3.7.5 has requirement tqdm<5.0.0,>=4.38.0, but you have tqdm 4.29.0. shap 0.29.3 requires scikit-image, which is not installed. scikit-survival 0.17.2 has requirement pandas>=0.25, but you have pandas 0.23.4. pymc3 3.11.6 has requirement scipy<1.8.0,>=1.7.3, but you have scipy 1.1.0. pymc3 3.11.6 has requirement pandas>=0.24.0, but you have pandas 0.23.4. PDPbox 0.2.1 requires sklearn, which is not installed. PDPbox 0.2.1 has requirement matplotlib==3.1.1, but you have matplotlib 3.0.2. notebook 6.5.7 has requirement jupyter-client<8,>=5.3.4, but you have jupyter-client 5.2.3. nbclient 0.7.4 has requirement jupyter-client>=6.1.12, but you have jupyter-client 5.2.3. modin 0.8.1.1 has requirement pandas==1.1.2, but you have pandas 0.23.4. lime 0.2.0.1 requires scikit-image, which is not installed. lifelines 0.27.8 has requirement scipy>=1.2.0, but you have scipy 1.1.0. lifelines 0.27.8 has requirement pandas>=1.0.0, but you have pandas 0.23.4. jupyter-server 1.24.0 has requirement jupyter-client>=6.1.12, but you have jupyter-client 5.2.3. formulaic 1.0.1 has requirement scipy>=1.6, but you have scipy 1.1.0. formulaic 1.0.1 has requirement pandas>=1.0, but you have pandas 0.23.4. DataSynthesizer 0.1.8 has requirement matplotlib>=3.2.2, but you have matplotlib 3.0.2. DataSynthesizer 0.1.8 has requirement seaborn>=0.10.1, but you have seaborn 0.9.0. DataSynthesizer 0.1.8 has requirement pandas>=1.0.5, but you have pandas 0.23.4. catboost 0.26 has requirement pandas>=0.24.0, but you have pandas 0.23.4. autograd-gamma 0.5.0 has requirement scipy>=1.2.0, but you have scipy 1.1.0. arviz 0.12.1 requires netcdf4, which is not installed.