Add setup_and_train helper and JSON-safe config serialization for flow reconstruction diffusion

[jiayi33c]

Description

This PR improves reproducibility for the flow reconstruction diffusion example.

Changes

• Add examples/cfd/flow_reconstruction_diffusion/setup_and_train.sh for one-command dependency setup + training.
• Update examples/cfd/flow_reconstruction_diffusion/README.md with usage and optional env vars.
• Fix JSON serialization in examples/cfd/flow_reconstruction_diffusion/train.py when logging/saving training options by converting config objects to JSON-safe types.

Notes

• Default helper script config is unconditional training (config_dfsr_train).
• Conditional runs are still supported via CONFIG_NAME=config_dfsr_cond_train.

[greptile-apps]

Greptile Summary

Improves reproducibility for flow reconstruction diffusion example by adding automation and fixing config serialization.

• Added setup_and_train.sh helper script that automates dependency installation and training with configurable environment variables (CONFIG_NAME, TRAIN_EXTRA_ARGS)
• Fixed JSON serialization errors when logging/saving training configs by introducing _to_json_serializable() helper that converts OmegaConf and EasyDict objects to JSON-compatible types
• Updated README with helper script usage instructions and examples for both unconditional and conditional training modes

Important Files Changed

Filename	Overview
examples/cfd/flow_reconstruction_diffusion/README.md	Added documentation for new setup_and_train.sh helper script with usage examples and environment variable options. Removed trailing whitespace.
examples/cfd/flow_reconstruction_diffusion/setup_and_train.sh	New bash script that automates dependency installation and training setup with configurable environment variables for reproducibility.
examples/cfd/flow_reconstruction_diffusion/train.py	Added _to_json_serializable helper to convert OmegaConf/EasyDict config objects to JSON-safe types for logging and file saving.

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