[FLINK-38258][model] support model args in ptf and add ml_predict builtin ptf

[lihaosky]

What is the purpose of the change

• Add model argument support in ptf
• Add ml_predict builtin ptf definition

Brief change log

• Add ModelSemantics in CallContext
• Add model in StaticArgument
• Add allowSystemArguments to control whether add uid and rowtime in ptf input/output
• Add ml_predict builtin ptf
• Add and update tests

Verifying this change

• Add unit test for ml_predict type inference
• Updated test for ml_predict function

Does this pull request potentially affect one of the following parts:

• Dependencies (does it add or upgrade a dependency): (no)
• The public API, i.e., is any changed class annotated with @Public(Evolving): (no)
• The serializers: (no)
• The runtime per-record code paths (performance sensitive): (no)
• Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (no)
• The S3 file system connector: (no)

Documentation

• Does this pull request introduce a new feature? (no)
• If yes, how is the feature documented? (JavaDocs)

[flinkbot]

CI report:

• ed213d6 Azure: SUCCESS

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[davidradl]

I am curious what the system arguments mean. Is this something that the user needs to be aware of? I do not see this phrase in the Flip and there is no more information in the Jira. I suggest including a description and motivation behind this piece. It appears to be a type of static arg that will be added if the boolean flag is on, but I am not sure when this would/should be used.