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aa7c983e99
Author | SHA1 | Date | |
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aa7c983e99 | |||
85bd7d4f41 | |||
2693b6768c | |||
c8868d5bf4 |
@ -41,8 +41,8 @@ Python version 3.x.x (idealerweise zumindest 3.9.5) plus folgende Module:
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Diese lassen sich mittels
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```bash
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python3 -m pip install {name des Moduls} # linux, osx
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py -3 -m pip install {name des Moduls} # Windows
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python3 -m pip install {name des Moduls}; # linux, osx
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py -3 -m pip install {name des Moduls}; # Windows
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```
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installieren.
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Man kann auch die Version mittels etwa `{name}==1.2.3` oder `{name}>=1.2.3` spezifizieren.
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@ -61,3 +61,5 @@ chmod +x run.sh; # nur einmalig nötig
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./run.sh
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```
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aus.
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Der Befehl `[python3 | py -3] code/main.py -h` zeigt die Gebrauchsanleitung an.
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90
code/algorithms/methods.py
Normal file
90
code/algorithms/methods.py
Normal file
@ -0,0 +1,90 @@
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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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@ -9,6 +9,7 @@ from local.maths import *;
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from local.typing import *;
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from code.core.log import *;
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from code.algorithms.methods import *;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# GLOBAL VARIABLES/CONSTANTS
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@ -16,10 +17,24 @@ from code.core.log import *;
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#
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# CHECKS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def preChecks(L: List[int], **_):
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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return;
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def postChecks(L: List[int], x: int, index: int, **_):
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value = L[index] if index >= 0 else None;
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assert value == x, 'Der Algorithmus hat versagt.';
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# ALGORITHM binary search
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@algorithmInfos(name='Binärsuchalgorithmus', outputnames='index', checks=True, metrics=True, preChecks=preChecks, postChecks=postChecks)
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def BinarySearch(L: List[int], x: int) -> int:
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'''
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Inputs: L = Liste von Zahlen, x = Zahl.
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@ -36,9 +51,9 @@ def BinarySearch(L: List[int], x: int) -> int:
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return m;
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elif x < L[m]:
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logDebug('Suche in L[0], L[1], ..., L[m] fortsetzen, m = {}.'.format(m));
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index = BinarySearch(L[:m], x);
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index = BinarySearch(L=L[:m], x=x);
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return index;
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else: # x > L[m]
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logDebug('Suche in L[m+1], L[m+2], ..., L[len(L)-1] fortsetzen, m = {}.'.format(m));
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index = BinarySearch(L[m+1:], x);
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index = BinarySearch(L=L[m+1:], x=x);
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return (m + 1) + index; # NOTE: muss Indexwert kompensieren
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@ -9,6 +9,7 @@ from local.maths import *;
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from local.typing import *;
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from code.core.log import *;
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from code.algorithms.methods import *;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# GLOBAL VARIABLES/CONSTANTS
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@ -16,10 +17,24 @@ from code.core.log import *;
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#
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# CHECKS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def preChecks(L: List[int], **_):
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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return;
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def postChecks(L: List[int], x: int, p: int, **_):
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value = L[p] if p >= 0 else None;
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assert value == x, 'Der Algorithmus hat versagt.';
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# ALGORITHM interpolation
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@algorithmInfos(name='Interpolationssuchalgorithmus', outputnames='p', checks=True, metrics=True, preChecks=preChecks, postChecks=postChecks)
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def InterpolationSearch(L: List[int], x: int, u: int, v: int) -> int:
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'''
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Inputs: L = Liste von Zahlen, x = Zahl, [u, v] = Suchinterval.
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@ -10,6 +10,7 @@ from local.typing import *;
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from code.core.log import *;
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from code.algorithms.search.sequential import SequentialSearch;
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from code.algorithms.methods import *;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# GLOBAL VARIABLES/CONSTANTS
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@ -17,10 +18,25 @@ from code.algorithms.search.sequential import SequentialSearch;
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#
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# CHECKS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def preChecks(L: List[int], **_):
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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assert L == list(sorted(set(L))), 'Ungültiger Input: L darf keine Duplikate enthalten!';
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return;
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def postChecks(L: List[int], x: int, index: int, **_):
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value = L[index] if index >= 0 else None;
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assert value == x, 'Der Algorithmus hat versagt.';
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# ALGORITHM jump search
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@algorithmInfos(name='Sprungsuche', outputnames='index', checks=True, metrics=True, preChecks=preChecks, postChecks=postChecks)
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def JumpSearchLinear(L: List[int], x: int, m: int) -> int:
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'''
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Inputs: L = Liste von Zahlen, x = Zahl, [u, v] = Suchinterval.
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@ -37,7 +53,7 @@ def JumpSearchLinear(L: List[int], x: int, m: int) -> int:
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elementAfterBlock = block[-1] + 1;
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if x < elementAfterBlock:
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logDebug('Element muss sich im Block {} befinden.'.format(i));
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index = SequentialSearch(block, x);
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index = SequentialSearch(L=block, x=x);
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return offset + index; # NOTE: muss wegen Offset kompensieren
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logDebug('Element befindet sich nicht im Block {}.'.format(i));
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i += 1;
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@ -9,6 +9,7 @@ from local.maths import *;
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from local.typing import *;
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from code.core.log import *;
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from code.algorithms.methods import *;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# GLOBAL VARIABLES/CONSTANTS
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@ -16,10 +17,24 @@ from code.core.log import *;
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#
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# CHECKS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def preChecks(L: List[int], **_):
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# Keine Checks!
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return;
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def postChecks(L: List[int], x: int, index: int, **_):
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value = L[index] if index >= 0 else None;
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assert value == x, 'Der Algorithmus hat versagt.';
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# ALGORITHM sequential search
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@algorithmInfos(name='Sequenziellsuchalgorithmus', outputnames='index', checks=True, metrics=True, preChecks=preChecks, postChecks=postChecks)
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def SequentialSearch(L: List[int], x: int) -> int:
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'''
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Inputs: L = Liste von Zahlen, x = Zahl.
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@ -22,21 +22,30 @@ def DisplayCase(name: Any):
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# METHODS display algorithm start/end
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def DisplayStartOfAlgorithm(name: str, **inputs: Any):
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logInfo('Ausführung vom Algorithmus: \033[92;1m{}\033[0m'.format(name))
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logInfo('INPUTS');
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def DisplayStartOfAlgorithm(name: str, *_: Any, **inputs: Any):
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DisplayBar(80);
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logPlain('Ausführung vom Algorithmus: \033[92;1m{}\033[0m'.format(name));
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logPlain('INPUTS');
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for varname, value in inputs.items():
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logPlain(' - {} = {}'.format(varname, value))
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return;
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def DisplayEndOfAlgorithm(**outputs: Any):
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logInfo('OUTPUTS:')
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def DisplayEndOfAlgorithm(*_: Any, **outputs: Any):
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logPlain('OUTPUTS:')
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for varname, value in outputs.items():
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logPlain(' - {} = {}'.format(varname, value))
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DisplayMetrics()
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DisplayBar(80);
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return;
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def DisplayMetrics():
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logInfo('Dauer der Ausführung: t = \033[2m{}\033[0m'.format(TimeElapsed()))
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logInfo('Anzahl der Schritte: T(n) = \033[1m{}\033[0m'.format(NumberOfSteps()))
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logPlain('Dauer der Ausführung: t = \033[2m{}\033[0m'.format(TimeElapsed()));
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logPlain('Anzahl der Schritte: T(n) = \033[1m{}\033[0m'.format(NumberOfSteps()));
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# METHODS Verschiedenes
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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def DisplayBar(n: int = 80):
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logPlain('+{}+'.format('-'*n));
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return;
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57
code/main.py
57
code/main.py
@ -51,51 +51,20 @@ def LoopThroughCases(path: str):
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command = GetAttribute(case, 'command', expectedtype=str, default='');
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inputs = GetAttribute(case, 'inputs', expectedtype=dict, default={});
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checks = GetAttribute(case, 'check', expectedtype=bool, default=True);
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RestartCounter();
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if command == 'algorithm-search-sequential':
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L, x = inputs['L'], inputs['x'];
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DisplayStartOfAlgorithm('Sequenziellsuche', L=L, x=x);
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p = SequentialSearch(L=L, x=x);
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value = L[p] if p >= 0 else None;
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if checks:
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assert value == x, 'Der Algorithmus hat versagt.';
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DisplayEndOfAlgorithm(p = p);
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elif command == 'algorithm-search-binary':
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L, x = inputs['L'], inputs['x'];
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DisplayStartOfAlgorithm('Binärsuche', L=L, x=x);
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if checks:
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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p = BinarySearch(L=L, x=x);
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value = L[p] if p >= 0 else None;
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if checks:
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assert value == x, 'Der Algorithmus hat versagt.';
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DisplayEndOfAlgorithm(p = p);
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elif command == 'algorithm-search-interpolation':
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L, x = inputs['L'], inputs['x'];
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u, v = 0, len(L)-1;
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DisplayStartOfAlgorithm('Interpolationssuche', L=L, x=x, u=u, v=v);
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if checks:
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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p = InterpolationSearch(L=L, x=x, u=u, v=v);
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value = L[p] if p >= 0 else None;
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if checks:
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assert value == x, 'Der Algorithmus hat versagt.';
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DisplayEndOfAlgorithm(p = p);
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elif command == 'algorithm-search-jump':
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L, x, m = inputs['L'], inputs['x'], inputs['m'];
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DisplayStartOfAlgorithm('SprungSuche', L=L, x=x, m=m);
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if checks:
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assert L == sorted(L), 'Ungültiger Input: L muss aufsteigend sortiert sein!';
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assert L == list(sorted(set(L))), 'Ungültiger Input: L darf keine Duplikate enthalten!';
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p = JumpSearchLinear(L=L, x=x, m=m);
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value = L[p] if p >= 0 else None;
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if checks:
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assert value == x, 'Der Algorithmus hat versagt.';
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DisplayEndOfAlgorithm(p = p);
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else:
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raise ValueError('Command \033[1m{}\033[0m nicht erkannt'.format(command));
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try:
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if command == 'algorithm-search-sequential':
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SequentialSearch(L=inputs['L'], x=inputs['x']);
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elif command == 'algorithm-search-binary':
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BinarySearch(L=inputs['L'], x=inputs['x']);
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elif command == 'algorithm-search-interpolation':
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InterpolationSearch(L=inputs['L'], x=inputs['x'], u=0, v=len(inputs['L'])-1);
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elif command == 'algorithm-search-jump':
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JumpSearchLinear(L=inputs['L'], x=inputs['x'], m=inputs['m']);
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else:
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raise ValueError('Command \033[1m{}\033[0m nicht erkannt'.format(command));
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except Exception as e:
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logError(e);
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return;
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Loading…
x
Reference in New Issue
Block a user