[Snyk] Fix for 13 vulnerabilities

[turian]

This PR was automatically created by Snyk using the credentials of a real user.

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • requirements.txt

⚠️ Warning

torch 1.13.1 requires nvidia-cuda-nvrtc-cu11, which is not installed.
torch 1.13.1 requires nvidia-cudnn-cu11, which is not installed.
torch 1.13.1 requires nvidia-cublas-cu11, which is not installed.
torch 1.13.1 requires nvidia-cuda-runtime-cu11, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
librosa 0.10.1 requires scipy, which is not installed.
librosa 0.10.1 has requirement numba>=0.51.0, but you have numba 0.48.0.
dcase-util 0.2.20 requires scipy, which is not installed.
botocore 1.33.13 has requirement urllib3<1.27,>=1.25.4; python_version < "3.10", but you have urllib3 2.0.7.

Vulnerabilities that will be fixed

By pinning:

Severity	Priority Score (*)	Issue	Upgrade	Breaking Change	Exploit Maturity
	554/1000 Why? Has a fix available, CVSS 6.8	Insufficient Verification of Data Authenticity SNYK-PYTHON-CERTIFI-3164749	certifi: 2021.10.8 -> 2023.7.22	No	No Known Exploit
	704/1000 Why? Has a fix available, CVSS 9.8	Improper Following of a Certificate's Chain of Trust SNYK-PYTHON-CERTIFI-5805047	certifi: 2021.10.8 -> 2023.7.22	No	No Known Exploit
	811/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 9.8	Arbitrary Code Execution SNYK-PYTHON-JOBLIB-3027033	joblib: 0.14.1 -> 1.1.1	No	Proof of Concept
	506/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 3.7	NULL Pointer Dereference SNYK-PYTHON-NUMPY-2321964	numpy: 1.16.6 -> 1.22.2	No	Proof of Concept
	399/1000 Why? Has a fix available, CVSS 3.7	Buffer Overflow SNYK-PYTHON-NUMPY-2321966	numpy: 1.16.6 -> 1.22.2	No	No Known Exploit
	506/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 3.7	Buffer Overflow SNYK-PYTHON-NUMPY-2321969	numpy: 1.16.6 -> 1.22.2	No	Proof of Concept
	506/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 3.7	Denial of Service (DoS) SNYK-PYTHON-NUMPY-2321970	numpy: 1.16.6 -> 1.22.2	No	Proof of Concept
	519/1000 Why? Has a fix available, CVSS 6.1	Information Exposure SNYK-PYTHON-REQUESTS-5595532	requests: 2.27.1 -> 2.31.0	No	No Known Exploit
	506/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 3.7	Regular Expression Denial of Service (ReDoS) SNYK-PYTHON-SCIKITLEARN-1079100	scikit-learn: 0.20.4 -> 0.24.2	No	Proof of Concept
	586/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 5.3	Regular Expression Denial of Service (ReDoS) SNYK-PYTHON-SCIKITLEARN-3186293	scikit-learn: 0.20.4 -> 0.24.2	No	Proof of Concept
	489/1000 Why? Has a fix available, CVSS 5.5	Denial of Service (DoS) SNYK-PYTHON-SCIPY-5756497	scipy: 1.2.3 -> 1.10.0rc1	No	No Known Exploit
	686/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 7.3	Use After Free SNYK-PYTHON-SCIPY-5759266	scipy: 1.2.3 -> 1.10.0rc1	No	Proof of Concept
	509/1000 Why? Has a fix available, CVSS 5.9	Regular Expression Denial of Service (ReDoS) SNYK-PYTHON-SETUPTOOLS-3180412	setuptools: 39.0.1 -> 65.5.1	No	No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

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