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Implement a testing environment for PyCLM dry runs
Experiment planning and testing should not always require access to a microscope. The test microscope environment should allow users to dry run a multi-experiment from a directory, and evaluate:
- Whether the directory is set up correctly
- How data flow will reach their custom pattern/segmentation models
- When and which commands will be sent to the microscope
- How their custom pattern/segmentation models will respond to inputs and generate outputs
This test environment can be used without access to a microscope or a working MicroManager configuration.
The MicroscopeProcess will interface with a dummy core, but all other processes will behave as usual.
A user should be able to provide mock data for the microscope to substitute for actual acquisition.
@jgubbens is leading this feature branch.
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