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[Snyk] Security upgrade numpy from 1.18.1 to 1.22.2

Omar Quimbaya requested to merge snyk-fix-2c5a7446b886b318b061ddf5dc861c3f into master

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

Changes included in this Merge Request

  • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
    • requirements.txt
⚠️ Warning 
virtualenv 20.16.5 requires distlib, which is not installed.
virtualenv 20.16.5 has requirement filelock<4,>=3.4.1, but you have filelock 3.0.12.
pandas 1.0.1 requires numpy, which is not installed.
black 19.10b0 requires regex, which is not installed.

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:
1.18.1 -> 1.22.2
No Proof of Concept
low severity 399/1000
Why? Has a fix available, CVSS 3.7		 Buffer Overflow
SNYK-PYTHON-NUMPY-2321966 		numpy:
1.18.1 -> 1.22.2
No No Known Exploit
low severity 506/1000
Why? Proof of Concept exploit, Has a fix available, CVSS 3.7		 Buffer Overflow
SNYK-PYTHON-NUMPY-2321969 		numpy:
1.18.1 -> 1.22.2
No Proof of Concept
low severity 506/1000
Why? Proof of Concept exploit, Has a fix available, CVSS 3.7		 Denial of Service (DoS)
SNYK-PYTHON-NUMPY-2321970 		numpy:
1.18.1 -> 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 affected dependencies could be upgraded.

Check the changes in this Merge Request 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.

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