mirror of
https://github.com/samsledje/D-SCRIPT.git
synced 2026-06-07 00:24:21 +08:00
75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
"""
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D-SCRIPT: Structure Aware PPI Prediction
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"""
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import argparse # command line run
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import os # manages operating system (system software)
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import sys
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from typing import Union
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from .commands.embed import EmbeddingArguments
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from .commands.evaluate import EvaluateArguments
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from .commands.predict import PredictionArguments
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from .commands.train import TrainArguments
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DScriptArguments = Union[
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EmbeddingArguments, EvaluateArguments, PredictionArguments, TrainArguments
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]
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# CLASS prints citation (from initial file)
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class CitationAction(argparse.Action):
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def __init__(self, option_strings, dest, **kwargs):
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super(CitationAction, self).__init__(option_strings, dest, **kwargs)
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def __call__(self, parser, namespace, values, option_string=None):
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from . import __citation__
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print(__citation__)
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setattr(namespace, self.dest, values)
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sys.exit(0)
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# Compiles a summary of the dscript information: version, citation, commdands, modules
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def main():
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# print("Hello World!")
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from . import __version__
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"-v", "--version", action="version", version="D-SCRIPT " + __version__
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)
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parser.add_argument(
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"-c",
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"--citation",
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action=CitationAction,
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nargs=0,
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help="show program's citation and exit",
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)
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subparsers = parser.add_subparsers(title="D-SCRIPT Commands", dest="cmd")
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subparsers.required = True
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from .commands import train, embed, evaluate, predict
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from .processing import process
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modules = {
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"train": train,
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"embed": embed,
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"evaluate": evaluate,
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"predict": predict,
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"process": process,
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}
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for name, module in modules.items():
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sp = subparsers.add_parser(name, description=module.__doc__)
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module.add_args(sp)
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sp.set_defaults(func=module.main)
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args: DScriptArguments = parser.parse_args()
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args.func(args)
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if __name__ == "__main__":
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main()
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