from RotTable import RotTable from Traj3D import * import numpy as np from math import sqrt from random import random P1 = 0.015 class Individu(): def __init__(self, table): self.table = table self.score = None def evaluate(self, brin): traj = Traj3D() traj.compute(brin, self.table) traj_array = np.array(traj.getTraj()) first_nucleotide = traj_array[0, :] last_nucleotide = traj_array[-1, :] distance = sqrt(sum((first_nucleotide - last_nucleotide) ** 2)) first_name = brin[0] last_name = brin[-1] rot_computed = self.table[last_name+first_name] rot_traj = first_name - last_name diff_angle = sum(abs(rot_computed - rot_traj)) self.score = 1/(distance + diff_angle) __ORIGINAL_ROT_TABLE = {\ "AA": [35.62, 7.2, -154, 0.06, 0.6, 0],\ "AC": [34.4, 1.1, 143, 1.3, 5, 0],\ "AG": [27.7, 8.4, 2, 1.5, 3, 0],\ "AT": [31.5, 2.6, 0, 1.1, 2, 0],\ "CA": [34.5, 3.5, -64, 0.9, 34, 0],\ "CC": [33.67, 2.1, -57, 0.07, 2.1, 0],\ "CG": [29.8, 6.7, 0, 1.1, 1.5, 0],\ "CT": [27.7, 8.4, -2, 1.5, 3, 0],\ "GA": [36.9, 5.3, 120, 0.9, 6, 0],\ "GC": [40, 5, 180, 1.2, 1.275, 0],\ "GG": [33.67, 2.1, 57, 0.07, 2.1, 0],\ "GT": [34.4, 1.1, -143, 1.3, 5, 0],\ "TA": [36, 0.9, 0, 1.1, 2, 0],\ "TC": [36.9, 5.3, -120, 0.9, 6, 0],\ "TG": [34.5, 3.5, 64, 0.9, 34, 0],\ "TT": [35.62, 7.2, -154, 0.06, 0.6, 0]\ } 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 : print("mutation", doublet, coord) print("table", table_rotations[doublet][coord]) table_rotations[doublet][coord] =np.random.uniform(low = Individu.__ORIGINAL_ROT_TABLE[doublet][coord] - Individu.__ORIGINAL_ROT_TABLE[doublet][coord + 3], high = Individu.__ORIGINAL_ROT_TABLE[doublet][coord] + Individu.__ORIGINAL_ROT_TABLE[doublet][coord + 3]) print("table", table_rotations[doublet][coord]) individu1 = Individu(RotTable()) print(individu1.table.rot_table) individu1.mutation()