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# Authors
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- Juergen Buechel
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- Carla Strassburger
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- Jan Wild
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- Simon Schurti
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# License
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MIT
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# Purpose
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Time management optimisation tool.
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# Procedure
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## User input
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- Ask user for subjects and study priority as well as available time to study per day. (days/hours)
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- optional deadline for subjects
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## Processing
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- Use cake cutting algorithm to calculate timetable based on subject priorites and available time.
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- output in ical format
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components = {
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"U1": ("0Ohm", "10V", "IU1"),
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"R1": ("1e3Ohm", "UR1", "IR1"),
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"R2": ("5e3Ohm", "UR2", "IR2"),
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}
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nodes = {"n1", "n2"}
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connections = {
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"U1": ["n1"],
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"n1": ["R1", "R2"],
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"R1": ["n2"],
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"R2": ["n2"],
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"n2": ["U1"],
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}
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nodeCoeffs = {}
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for n in nodes:
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nodeCoeffs[n] = [
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f"-{components[k][2]}" if n in v else f"{components[x][2]}"
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for k, v in connections.items()
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for x in v
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if k == n or n in v
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]
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print(nodeCoeffs)
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