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test_huffman.py
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test_huffman.py
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import unittest
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from src.Sommets import *
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from src.Arbre import *
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from src.fonctions.encode import *
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from src.fonctions.decode import *
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from src.fonctions.occurence import *
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#
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# Sam Hadow - Huffman-py
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# Copyright (C) 2023
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# pour lancer les tests utilisez:
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import unittest
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from huffman_py.Node import *
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from huffman_py.Tree import *
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from huffman_py.functions.encode import *
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from huffman_py.functions.decode import *
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from huffman_py.functions.occurence import *
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# Tu run unit tests:
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# python -m unittest discover
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class TestUtils(unittest.TestCase):
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def test_Arbre_id(self):
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a = Sommets(10, 'a')
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b = Sommets(8,'b')
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r1 = Sommets(18,'',left=b,right=a)
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def test_Tree_id(self):
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a = Node(10, 'a')
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b = Node(8,'b')
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r1 = Node(18,'',left=b,right=a)
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arbre1 = Arbre(r1)
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tree1 = Tree(r1)
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# vérification affectation d'un identifiant unique en créant l'arbre
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liste_id = []
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verification_id = True
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for elem in arbre1.sommets:
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liste_id.append(elem.identifiant)
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if len(liste_id) > len(set(liste_id)):
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verification_id = False
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# unique identifier check
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id_list = []
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check_id = True
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for elem in tree1.nodes:
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id_list.append(elem.identifier)
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if len(id_list) > len(set(id_list)):
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check_id = False
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self.assertTrue(verification_id)
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self.assertTrue(check_id)
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def test_Arbre_fusion(self):
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# fusion des arbres
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# on doit retrouver les éléments des 2 arbres + une nouvelle racine
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# les identifiants doivent toujours être uniques
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a = Sommets(10, 'a')
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b = Sommets(8,'b')
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r1 = Sommets(18,'',left=b,right=a)
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c = Sommets(15, 'c')
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d = Sommets(20,'d')
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r2 = Sommets(18,'',left=d,right=c)
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def test_Tree_fusion(self):
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# tree merge
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# we must find elements in initial trees + a root
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# identifiers must be unique
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a = Node(10, 'a')
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b = Node(8,'b')
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r1 = Node(18,'',left=b,right=a)
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c = Node(15, 'c')
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d = Node(20,'d')
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r2 = Node(18,'',left=d,right=c)
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arbre1 = Arbre(r1)
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arbre2 = Arbre(r2)
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tree1 = Tree(r1)
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tree2 = Tree(r2)
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l1 = len(arbre1.sommets)
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l2 = len(arbre2.sommets)
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arbre1 += arbre2
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verification_fusion = True
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if l1+l2+1 != len(arbre1.sommets):
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verification_fusion = False
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l1 = len(tree1.nodes)
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l2 = len(tree2.nodes)
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tree1 += tree2
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check_fusion = True
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if l1+l2+1 != len(tree1.nodes):
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check_fusion = False
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liste_id2 = []
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verification_id2 = True
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for elem in arbre1.sommets:
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liste_id2.append(elem.identifiant)
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if len(liste_id2) > len(set(liste_id2)):
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verification_id2 = False
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id_list2 = []
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check_id2 = True
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for elem in tree1.nodes:
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id_list2.append(elem.identifier)
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if len(id_list2) > len(set(id_list2)):
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check_id2 = False
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self.assertTrue(verification_fusion)
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self.assertTrue(verification_id2)
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self.assertTrue(check_fusion)
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self.assertTrue(check_id2)
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def test_Arbre_recherche(self):
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# recherche de sommet
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a = Sommets(10, 'a')
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b = Sommets(8,'b')
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r1 = Sommets(18,'',left=b,right=a)
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def test_Tree_seek(self):
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# seek a node
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a = Node(10, 'a')
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b = Node(8,'b')
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r1 = Node(18,'',left=b,right=a)
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arbre1 = Arbre(r1)
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tree1 = Tree(r1)
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self.assertEqual(arbre1.recherche(a),a)
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self.assertNotEqual(arbre1.recherche(b),a)
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self.assertEqual(tree1.seek(a),a)
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self.assertNotEqual(tree1.seek(b),a)
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def test_Arbre_suppression(self):
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a = Sommets(10, 'a')
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b = Sommets(8,'b')
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r1 = Sommets(18,'',left=b,right=a)
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r2 = Sommets(18,'',left=None,right=r1)
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def test_Tree_delete(self):
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a = Node(10, 'a')
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b = Node(8,'b')
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r1 = Node(18,'',left=b,right=a)
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r2 = Node(18,'',left=None,right=r1)
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arbre1 = Arbre(r2)
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tree1 = Tree(r2)
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arbre1 -= r1
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self.assertEqual(arbre1.recherche(a),None)
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self.assertEqual(arbre1.recherche(b),None)
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self.assertEqual(arbre1.recherche(r1),None)
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self.assertEqual(arbre1.recherche(r2),r2)
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tree1 -= r1
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self.assertEqual(tree1.seek(a),None)
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self.assertEqual(tree1.seek(b),None)
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self.assertEqual(tree1.seek(r1),None)
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self.assertEqual(tree1.seek(r2),r2)
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def test_occurences(self):
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o1 = calcul_occurence('aaabcc')
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o2 = calcul_occurence('bacaac')
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# dans les 2 cas on doit avoir le même dictionnaire
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# 3 pour a, 2 pour c, 1 pour b
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# Same dictionary in both case
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# 3 for a, 2 for c, 1 for b
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self.assertEqual(o1,o2)
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self.assertEqual(o1['c'],2)
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self.assertEqual(o1['b'],1)
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self.assertEqual(o1['a'],3)
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def test_encodage_huffman(self):
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string = 'mouton'
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string2 = 'vache'
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(encodedOutput, racine, huffmanEncoding) = huffman_encode(string)
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(encodedOutput2, racine2, huffmanEncoding2) = huffman_encode(string2)
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# l'encodage doit être différent (les dictionnaires et arbres aussi)
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def test_huffman_encode(self):
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string = 'sheep'
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string2 = 'cow'
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(encodedOutput, root, huffmanEncoding) = huffman_encode(string)
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(encodedOutput2, root2, huffmanEncoding2) = huffman_encode(string2)
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# encoding must be different
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self.assertNotEqual(huffmanEncoding, huffmanEncoding2)
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self.assertNotEqual(encodedOutput, encodedOutput2)
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self.assertNotEqual(Arbre(racine),Arbre(racine2))
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self.assertNotEqual(Tree(root),Tree(root2))
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def test_decodage_huffman(self):
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string = 'chèvre'
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(encodedOutput, racine, huffmanEncoding) = huffman_encode(string)
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# on doit être capable de décoder avec la racine de l'arbre ou avec le dictionnaire
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self.assertEqual(string,huffman_decode(encodedOutput,racine))
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self.assertEqual(string,decode_from_dico(encodedOutput,huffmanEncoding))
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string = 'chicken'
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(encodedOutput, root, huffmanEncoding) = huffman_encode(string)
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# We must be able to decode a binary from its tree root/dict
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self.assertEqual(string,huffman_decode(encodedOutput,root))
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self.assertEqual(string,decode_from_dict(encodedOutput,huffmanEncoding))
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# on doit être capable de détecter si le dictionnaire/arbre n'est pas celui correspondant à un texte encodé
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string2 = 'poule'
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(encodedOutput2, racine2, huffmanEncoding2) = huffman_encode(string2)
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# we must be able to detect if tree/dict isn't the correct one to decode a binary
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string2 = 'pig'
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(encodedOutput2, root2, huffmanEncoding2) = huffman_encode(string2)
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with self.assertRaises(ValueError):
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decode_from_dico(encodedOutput2,huffmanEncoding)
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decode_from_dict(encodedOutput2,huffmanEncoding)
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with self.assertRaises(ValueError):
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huffman_decode(encodedOutput2,racine)
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huffman_decode(encodedOutput2,root)
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if __name__ == '__main__':
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