Bump jsonpickle upper bound.

[claudevdm]

Bump jsonpickle upper bound.

Version 4.0.0 + Uses decode(safe=True) by default which avoids eval during decoding, which is a breaking change.

https://github.com/jsonpickle/jsonpickle/blob/c3fa14e6c4a1099f7d1c8b0898b6bbf8aade5143/CHANGES.rst#v400.

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[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the jsonpickle dependency to allow versions up to 5.0.0. To accommodate the breaking change in jsonpickle 4.0.0, which introduced a more secure default decoding mode, the changes include logic to conditionally toggle the 'safe' decoding flag based on the pipeline's compatibility version. This ensures that existing artifacts remain readable while adopting secure defaults for newer pipelines.

Highlights

• Dependency Update: Updated the jsonpickle dependency upper bound from 4.0.0 to 5.0.0 to support newer versions.
• Security and Compatibility: Implemented conditional logic in MLTransform to handle jsonpickle's breaking change in 4.0.0, which defaults to safe decoding (disabling eval). Pipelines using compatibility versions prior to 2.75.0 will retain the legacy behavior (safe=False) for backward compatibility.
• Testing: Added a new test case to verify that the jsonpickle 'safe' flag correctly respects the pipeline compatibility version settings.

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[gemini-code-assist]

Code Review

This pull request updates MLTransform to conditionally decode attributes securely using jsonpickle's safe parameter, falling back to the older behavior (allowing eval-based decoding) for compatibility with pipelines pinned to versions prior to 2.75.0. It also bumps the upper bound of the jsonpickle dependency to <5.0.0 and adds corresponding unit tests. The review feedback correctly points out that because jsonpickle < 4.0.0 is still supported, calling jsonpickle.decode with the safe keyword argument will raise a TypeError on older versions. It is recommended to conditionally pass this argument in both the main code and the tests by inspecting the function signature.

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[github-actions]

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R: @shunping for label python.

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[github-actions]

Reminder, please take a look at this pr: @shunping