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from RotTable import RotTable
from random import random
P1 = 0.015
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))
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()