91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# IMPORTS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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import functools;
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from code.core.log import *;
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from code.display.display import *;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# CLASSES
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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class OneShot(object):
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state: bool;
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def __init__(self):
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self.state = True;
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def reload(self):
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self.state = True;
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def trigger(self):
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self.state = False;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# DECORATORS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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## Trigger, der das fancy Zeug bei verschachtelten Algorithmen verhindert
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nonnestedAlgorithms = OneShot();
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def algorithmInfos(
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name: str,
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checks: bool = True,
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metrics: bool = None,
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outputnames: Union[str, Tuple[str]] = 'result',
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preChecks: Any = None,
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postChecks: Any = None
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):
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'''
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Decorator für Algorthmen, der Folgendes macht:
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- Zeigt vorm Start Console-Messages mit Namen des Algorithmus + Inputs.
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- Zeit am Ende optional Metriken (bspw. Zeitkosten).
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- Zeigt am Ende Console-Messages von Output/s.
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- Prüft optional vor und nach Ausführung des Algorithmus, dass die Inputs/Outputs stimmen.
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Bei rekursiven Definitionen werden die o. s. Punkte nur bei dem äußersten Aufruf gemacht.
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'''
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def func_decorator(func):
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## Trigger, der das fancy Zeug bei verschachtelten Aufrufen verhindert
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nonnestedRecursion = OneShot();
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@functools.wraps(func)
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def func_wrapper(**inputs):
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try:
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state = nonnestedRecursion.state and nonnestedAlgorithms.state;
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if state:
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# Initialisierung
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DisplayStartOfAlgorithm(name.title(), **inputs);
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RestartCounter();
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# Prechecks
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if checks and callable(preChecks):
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preChecks(**inputs);
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# Ausführung des Algorithmus:
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nonnestedRecursion.trigger();
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nonnestedAlgorithms.trigger();
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outputs = func(*[], **inputs);
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nonnestedAlgorithms.reload();
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nonnestedRecursion.reload();
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if state:
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# benenne Outputs:
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outputs_ = outputs if isinstance(outputs, tuple) else tuple([outputs]);
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outputnames_ = outputnames if isinstance(outputnames, tuple) else tuple([outputnames]);
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outputsNamed = { outputnames_[k]: value for k, value in enumerate(outputs_) };
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# Postchecks
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if checks and callable(postChecks):
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postChecks(**inputs, **outputsNamed);
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# Letzte Messages
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if metrics:
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DisplayMetrics();
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DisplayEndOfAlgorithm(**outputsNamed);
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except Exception as e:
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_switch.reload();
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raise e;
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return outputs;
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return func_wrapper;
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return func_decorator;
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