Last feature list for release

[santiagocasas]

🚀 The feature, motivation and pitch

Release of code, with enough flexibility for DR1 analysis

Alternatives

No response

Additional context

• Run w0wa notebook with ext input files in CFP and check results same @santiagocasas
• Then copy DR1 specs into EC gitlab and run also the notebook above with DR1 and check @santiagocasas
• Split numbers to contain ngal and area and others for spectro (one sample), photo (lenses and sources) @santiagocasas
• Generalize the config.py, removing hardcoded numbers, moving them to their respective classes and provide optionality of passing them through the specs yaml @santiagocasas
• Do this bias generalization until Q-bias can be properly implemented @santiagocasas
• Point above, requires for instance to generalize the spectro .dat files into .yaml files
• Look into the config yaml files and how to install them in the package, create a configs module (folder) @Sefa76
• Look into data files like n(z) or lumratio, which are large. For instance users should download files themselves or we provide a small download script. Maybe even in python. @Sefa76
• For lumratio, make something like ignoring beta, if this download hasn't happened @Sefa76
• Test suite
• Reach 50% coverage