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[Snyk] Security upgrade numpy from 1.15.3 to 1.22.2 #12

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@snyk-bot snyk-bot commented Feb 4, 2022

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:
    • pip-sample/requirements.txt
⚠️ Warning
pandas 0.23.3 requires numpy, which is not installed.
matplotlib 2.2.2 requires numpy, which is not installed.
ipython 7.31.1 has requirement jedi>=0.16, but you have jedi 0.12.1.

Vulnerabilities that will be fixed

By pinning:
Severity Priority Score (*) Issue Upgrade Breaking Change Exploit Maturity
low severity 506/1000
Why? Proof of Concept exploit, Has a fix available, CVSS 3.7
NULL Pointer Dereference
SNYK-PYTHON-NUMPY-2321964
numpy:
1.15.3 -> 1.22.2
No Proof of Concept

(*) 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 effected 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

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic

The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-NUMPY-2321964
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