Add ZeroMQ as a First-Class Communication Backend in concore

[saksham-gera]

This PR implements ZeroMQ-based communication as a first-class feature in concore, alongside the existing file-sharing and shared-memory communication mechanisms.

Key Contributions:

• Implemented ZeroMQ-based edges in concore to enable seamless communication between programs.
• Introduced a consistent labeling scheme for ZeroMQ edges:
• All ZeroMQ edges start with 0 in their labels, followed by a hexadecimal port, and then an underscore.
• Example: 0x1234_Y assigns logical Y to port 1234, 0xabcd_U assigns logical U to port abcd.
• Enabled studies with ZeroMQ edges to appear as single directed hypergraphs in the concore editor, ensuring that ZeroMQ edges are visible and integrated instead of forming separate forests.
• Achieved seamless execution across local and distributed environments, removing the need to run each hypergraph separately.
• Ensured interoperability with existing communication approaches (file-sharing and shared-memory), providing a unified experience for users.
• Demonstrated the feasibility of distributed studies through ZeroMQ message queues.

Additional Notes:

• Implementation was inspired by the previous osparc-control–based experiment but removes the dependency on osparc-control.
• Code structure aligns with existing concore communication backends for consistency and maintainability.
• Primary implementation in Python, with possible extensions for Matlab and C++ in future contributions.

Outcome:
This PR fulfills the expected outcomes of the GSoC project “Making ZeroMQ a first-class feature of concore” by:

• Establishing ZeroMQ as a native communication backend.
• Promoting distributed usability of concore studies.
• Unifying communication modes under a consistent interface in the concore editor.