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
```
tensorflow 2.11.0 requires keras, which is not installed.
tensorflow 2.11.0 requires tensorflow-io-gcs-filesystem, which is not installed.
tensorflow 2.11.0 has requirement numpy>=1.20, but you have numpy 1.19.2.
tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 40.5.0.
scikit-learn 1.0.2 requires scipy, which is not installed.
python-daemon 3.0.1 has requirement setuptools>=62.4.0, but you have setuptools 40.5.0.
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.
librosa 0.10.1 has requirement numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3, but you have numpy 1.19.2.
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
:-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:-------------------------
 | **776/1000** **Why?** Recently disclosed, Has a fix available, CVSS 9.8 | Code Injection [SNYK-PYTHON-KERAS-6615954](https://snyk.io/vuln/SNYK-PYTHON-KERAS-6615954) | `keras:` `2.11.0 -> 2.13.1rc0` | 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.
------------
**Note:** *You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.*
For more information:
🧐 [View latest project report](https://app.snyk.io/org/turian/project/2aba81c8-825f-4c77-a482-9b3457f4e187?utm_source=github&utm_medium=referral&page=fix-pr)
🛠 [Adjust project settings](https://app.snyk.io/org/turian/project/2aba81c8-825f-4c77-a482-9b3457f4e187?utm_source=github&utm_medium=referral&page=fix-pr/settings)
📚 [Read more about Snyk's upgrade and patch logic](https://support.snyk.io/hc/en-us/articles/360003891078-Snyk-patches-to-fix-vulnerabilities)
[//]: # (snyk:metadata:{"prId":"ab2e9fbf-72f5-44dd-a0dd-f36366286599","prPublicId":"ab2e9fbf-72f5-44dd-a0dd-f36366286599","dependencies":[{"name":"keras","from":"2.11.0","to":"2.13.1rc0"}],"packageManager":"pip","projectPublicId":"2aba81c8-825f-4c77-a482-9b3457f4e187","projectUrl":"https://app.snyk.io/org/turian/project/2aba81c8-825f-4c77-a482-9b3457f4e187?utm_source=github&utm_medium=referral&page=fix-pr","type":"auto","patch":[],"vulns":["SNYK-PYTHON-KERAS-6615954"],"upgrade":[],"isBreakingChange":false,"env":"prod","prType":"backlog","templateVariants":["updated-fix-title","pr-warning-shown","priorityScore"],"priorityScoreList":[776],"remediationStrategy":"vuln"})
---
**Learn how to fix vulnerabilities with free interactive lessons:**
🦉 [Code Injection](https://learn.snyk.io/lesson/malicious-code-injection/?loc=fix-pr)
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
``` tensorflow 2.11.0 requires keras, which is not installed. tensorflow 2.11.0 requires tensorflow-io-gcs-filesystem, which is not installed. tensorflow 2.11.0 has requirement numpy>=1.20, but you have numpy 1.19.2. tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 40.5.0. scikit-learn 1.0.2 requires scipy, which is not installed. python-daemon 3.0.1 has requirement setuptools>=62.4.0, but you have setuptools 40.5.0. 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. librosa 0.10.1 has requirement numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3, but you have numpy 1.19.2. 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. ```**Why?** Recently disclosed, Has a fix available, CVSS 9.8 | Code Injection
[SNYK-PYTHON-KERAS-6615954](https://snyk.io/vuln/SNYK-PYTHON-KERAS-6615954) | `keras:`
`2.11.0 -> 2.13.1rc0`
| 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. ------------ **Note:** *You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.* For more information: