ajout code huffman et arithmétique

This commit is contained in:
Pierre-antoine Comby 2019-02-04 14:43:31 +01:00
parent 618f6bcc11
commit 930cfb8a90
4 changed files with 166 additions and 0 deletions

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#!/usr/bin/env python3
import numpy as np
p_s = [0.1,0.9]
P = np.random.rand(N)
X = [0 for p in P if p > p_s[0] else 1]
def binary(n,b=2,m):
"""
Convertie un nombre décimal en sa version binaire tronqué à m bits.
"""
return np.ceil(n*b**m)
def arithm(X):
l=[0]
h= [1]
for x in X:
if x == 0:
h.append(l[-1]+p_s[0]*(h[-1]-l[-1]))
l.append(l[-1])
else:
l.append(l[-1]+p_s[0]*(h[-1]-l[-1]))
h.append(h[-1])
lmb = (l[-1]+h[-1])/2
mu = int(-np.log2(h[-1]-l[-1]))+1

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 28 12:31:21 2019
@author: pac
"""
import numpy as np
P = [[0.8,0.1,0.1],[0.1,0.7,0.2],[0.1,0.2,0.7]]
def get_state(p,cump):
print(p, cump)
for i in range(len(cump)):
if p < cump[i]:
return i
def gen_markov1(N,P,init_state=0):
cumP = np.cumsum(P,1)
states = [init_state]
p = np.random.rand(N)
for k in range(N):
states.append(get_state(p[k],cumP[states[-1]]))
return states
print(gen_markov1(100,P,init_state=1))

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#!/usr/bin/python3
import numpy as np
def get_2min(l):
min1 = 0
min2 = 1
for k in range(1,len(l)):
if l[k]<=l[min1]:
min2 = min1
min1 = k
elif l[k]<=l[min2]:
min2 = k
return min1,min2
def huffman_rec(p):
if len(p) == 2:
C = ['1','0']
print(p,C)
return C
else:
min1,min2 = get_2min(p)
min1,min2 = min(min1,min2),max(min1,min2)
print(p,min1,min2)
p_save=p.pop(min2)
p[min1] = p[min1]+p_save
C = huffman_rec(p)
C.insert(min2,C[min1]+'1')
C[min1] +='0'
p.insert(min2,p_save)
p[min1] -= p_save
print(p,C)
return C
p = [25,20,15,12,10,8,5,5]
print(huffman_rec(p))

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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
table = [
('A', 25),
('B', 20),
('C', 15),
('D', 12),
('E', 10),
('F', 8),
('G', 5),
('H', 5)]
table_noeud = [Noeud(name=x[0],p=x[1]) for x in table]
#print(table_noeud)
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
root_node= create_tree(table_noeud)
print(root_node)
def gen_code(node,prefix=''):
if node.left != None:
node.code = prefix
gen_code(node.left,prefix+'0')
gen_code(node.right,prefix+'1')
else:
node.code = prefix
print(node.name,node.code)
gen_code(root_node)
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
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)
print('done')