cours-m1-eea/455-Codage_Sources/algo_code/huffman2.py

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#!/usr/bin/env python3
import subprocess
class Noeud(object):
def __init__(self,p=0,left=None,right=None,code='',name=''):
self.left = left
self.right= right
if left != None and right != None :
self.p = left.p + right.p
self.name =left.name+right.name
else:
self.p = p
self.name = name
self.code = code
def __lt__(self,other):
return self.p<other.p
def __repr__(self):
return self.name
def create_tree(table_noeud):
queue = table_noeud.copy()
while len(queue) > 2:
queue.sort()
print(queue)
l=queue.pop(0)
r=queue.pop(0)
queue.append(Noeud(left=l,right=r))
root= Noeud(left=queue[0],right=queue[1])
return root
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def gen_code(node,prefix=''):
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def gen_code_rec(node,prefix=''):
if node.left != None:
node.code = prefix
t_1 = gen_code(node.left,prefix+'0')
t_2 = gen_code(node.right,prefix+'1')
return [*t_1,*t_2]
else:
node.code = prefix
return (node.name,node.code)
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x = gen_code_rec(node,prefix)
return x
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def draw_tree(node):
if len(node.name) == 1: # feuille
desc ='N{} [label="{}:{}", fontcolor=blue, fontsize=16, width=2, shape=box];\n'.format(node.code, node.name, node.code)
else:
desc = 'N{} [label="{}"];\n'.format(node.code,node.code)
desc += draw_tree(node.left)
desc += draw_tree(node.right)
desc += 'N{}:n -> N{}:e;\n'.format(node.code,node.left.code)
desc += 'N{}:s -> N{}:e;\n'.format(node.code,node.right.code)
return desc
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def make_tree():
with open('graph.dot','w') as f:
f.write('digraph G {\n ')
f.write(' splines=ortho \n')
f.write('rankdir=RL;\n')
f.write(draw_tree(root_node))
f.write('{rank =same; N' + '; N'.join([n.code for n in table_noeud]) +';}\n')
f.write('}')
subprocess.call('dot -Tpng graph.dot -o graph.png', shell=True)
def decode_huffman(reverse, code):
res =""
while code:
for k in reverse:
if text.startswith(k):
res +=reverse[k]
text = text[len(k):]
return res
table = [('A', 25),('B', 20),('C', 15),('D', 12),
('E', 10),('F', 8),('G', 5),('H', 5)]
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table_noeud = [Noeud(name=x[0],p=x[1]) for x in table]
root_node= create_tree(table_noeud)
x= gen_code(root_node)
reverse_huffman = {x[i+1]:x[i] for i in range(0,len(x)-1,2)}
print(table_huffman)