[Snyk] Security upgrade python from 3.9-slim to 3.13.0a4-slim

[snyk-io]

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

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

Changes included in this PR

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

We recommend upgrading to python:3.13.0a4-slim, as this image has only 47 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity	Priority Score / 1000	Issue	Exploit Maturity
	182	Out-of-Bounds SNYK-DEBIAN12-GLIBC-1547196	No Known Exploit
	182	Out-of-Bounds SNYK-DEBIAN12-GLIBC-1547196	No Known Exploit
	178	Improper Certificate Validation SNYK-DEBIAN12-PERL-5489184	No Known Exploit
	182	CVE-2005-2541 SNYK-DEBIAN12-TAR-1560620	No Known Exploit
	264	Integer Overflow or Wraparound SNYK-DEBIAN12-ZLIB-6008963	No Known Exploit

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