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Kappes Marques Rodrigo authoredKappes Marques Rodrigo authored
individu.py 4.58 KiB
from RotTable import RotTable
from Traj3D import Traj3D
import numpy as np
from math import sqrt, inf
from random import random
P1 = 0.015
class Individu():
def __init__(self, table):
self.table = table
lineList = [line.rstrip('\n') for line in open("plasmid_8k.fasta")]
self.brin = ''.join(lineList[1:])
#self.brin = "AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA"
self.score = self.evaluate()
def evaluate(self):
traj = Traj3D()
numb_ajout = 3
fisrt_seq = self.brin[0:numb_ajout]
last_seq = self.brin[-numb_ajout:]
traj.compute(last_seq + self.brin + fisrt_seq, self.table)
traj_array = np.array(traj.getTraj())
list_distance = []
for i in range(numb_ajout):
first_nuc_coordonate = traj_array[numb_ajout+i, 0:3]
first_nuc_coordonate_compute = traj_array[-(numb_ajout-i), 0:3]
last_nuc_coordonate = traj_array[-(2*numb_ajout-i), 0:3]
last_nuc_coordonate_compute = traj_array[i, 0:3]
distance_first_nuc = np.linalg.norm(first_nuc_coordonate - first_nuc_coordonate_compute, ord=2)
distance_last_nuc = np.linalg.norm(last_nuc_coordonate - last_nuc_coordonate_compute, ord=2)
list_distance += [distance_first_nuc, distance_last_nuc]
self.score = max(list_distance)
return max(list_distance)
def mutation(self, proba = P1):
table_rotations = self.table.rot_table
for doublet in table_rotations :
for coord in range(3):
tir = random()
if tir < proba :
table_rotations[doublet][coord] =np.random.uniform(low = self.table.orta()[doublet][coord] - self.table.orta()[doublet][coord + 3], high = self.table.orta()[doublet][coord] + self.table.orta()[doublet][coord + 3])
doublet2 = self.table.corr()[doublet]
if coord == 0 or coord == 1 :
table_rotations[doublet2][coord] = table_rotations[doublet][coord]
else :
#sur l'axe z il y a un moins
table_rotations[doublet2][coord] = - table_rotations[doublet][coord]
def mutation_with_numbers(self, proba = P1, number_of_mutations = 5):
table_rotations = self.table.rot_table
for i in range(0,number_of_mutations):
tir = random()
if tir < proba :
doubletNumber = randrange(0,8)
counter = 0
for doublet in table_rotations:
if counter==doubletNumber:
break
counter+=1
for coord in range(3):
table_rotations[doublet][coord] =np.random.uniform(low = self.table.orta()[doublet][coord] - self.table.orta()[doublet][coord + 3], high = self.table.orta()[doublet][coord] + self.table.orta()[doublet][coord + 3])
doublet2 = self.table.corr()[doublet]
if coord == 0 or coord == 1 :
table_rotations[doublet2][coord] = table_rotations[doublet][coord]
else :
#sur l'axe z il y a un moins
table_rotations[doublet2][coord] = - table_rotations[doublet][coord]
# individu1 = Individu(RotTable())
# print(individu1.table.rot_table)
# individu1.mutation()
# table = RotTable()
# test = Individu(table)
# test.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
# print(test.score)
# qqun=Individu(RotTable())
# qqun.table.rot_table={'AA': [35.576558502141, 7.433901511509349, -154], 'AC': [33.22048222654215, 5.25191751302917, 143], 'AG': [26.446029097301288, 6.052240462237622, -2], 'AT': [30.47045254036881, 1.333716025628036, 0], 'CA': [34.00734209585039, 33.70710613604862, -64], 'CC': [33.61019622767888, 3.713127032109607, -57], 'CG': [29.664061041382677, 6.725155507162601, 0], 'CT': [26.446029097301288, 6.052240462237622, 2], 'GA': [36.655773481637176, 10.45337581740701, 120], 'GC': [42.26984493493484, 3.5310453395352823, 180], 'GG': [33.61019622767888, 3.713127032109607, -57], 'GT': [33.22048222654215, 5.25191751302917, 143], 'TA': [36.951508786388914, -2.5174751178033303, 0], 'TC': [36.655773481637176, 10.45337581740701, -120], 'TG': [34.00734209585039, 33.70710613604862, -64], 'TT': [35.576558502141, 7.433901511509349, -154]}
# qqun.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
# print(qqun.score)