[Snyk] Security upgrade python from 3.9-slim to 3.13.0b2-slim

[WontonSam]

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


Snyk has created this PR to fix 4 vulnerabilities in the dockerfile dependencies of this project.

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Snyk changed the following file(s):

• sdks/python/apache_beam/examples/ml-orchestration/kfp/components/ingestion/Dockerfile

We recommend upgrading to python:3.13.0b2-slim, as this image has only 43 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	Integer Overflow or Wraparound SNYK-DEBIAN12-ZLIB-6008963	264
	Out-of-Bounds SNYK-DEBIAN12-GLIBC-1547196	182
	Out-of-Bounds SNYK-DEBIAN12-GLIBC-1547196	182
	CVE-2005-2541 SNYK-DEBIAN12-TAR-1560620	182
	Improper Certificate Validation SNYK-DEBIAN12-PERL-5489184	167

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Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

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[github-actions]

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[github-actions]

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