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bemcdonnell avatar bemcdonnell commented on September 4, 2024 2

@lassiterdc i have no doubt that this would be useful. And I think we’d invite this feature in with open arms if you would be open to contributing it! I looked at doing this years ago and it’s honestly more complicated considering how swmm parses and validates numbers inside the same function. It would take quite a bit of efforts to document all the steps that take place from parse to validate. If you’d be willing to help, I think we could handing the coding aspects of it. Does that sound reasonable to you?

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bemcdonnell avatar bemcdonnell commented on September 4, 2024 2

You should check out python package SWMMIO, a close friend of Pyswmm.

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dickinsonre avatar dickinsonre commented on September 4, 2024

I will say at one time I modified the Delphi code of SWMM to randomly generate parameters n a bunch off files but found it is better to have guided rather than random parameters.

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lassiterdc avatar lassiterdc commented on September 4, 2024

@bemcdonnell just to be clear, all I'm interested in doing is programmatically adjusting .inp files so it shouldn't be necessary to get inside the SWMM code at all. It's really just a matter of reading and editing a text file. It's definitely something I'd be interested in contributing, but right now I'm just trying to knock out a class project lol. I found another R library called swmmr that seems to have what I'm looking for, though I'm having some issues with that as well.

@dickinsonre I appreciate the suggestion. A monte carlo approach is certainly not the most efficient sampling scheme. I'll look into others once I have the basic framework in place.

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