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October 25, 2022 04:16
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Análisis y Métodos Numéricos - Projecto Navier Stokes
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import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib import cm | |
from PIL import Image | |
class Utils(): | |
@staticmethod | |
def getX(punto: str): | |
aux = punto.split(',') | |
return int(aux[0]) | |
@staticmethod | |
def getY(punto: str): | |
aux = punto.split(',') | |
return int(aux[1]) | |
class DiferenciasFinitas(): | |
def __init__(self, paso: float, v0x: float, tamaño_malla: tuple): | |
self.v0x = v0x | |
self.paso = paso | |
self.tamaño_malla = tamaño_malla | |
def __condicion(self, x, y): | |
if x == 0: | |
return (self.v0x, "literal") | |
if y == 0 or y == self.tamaño_malla[1]-1 or x == self.tamaño_malla[0]-1: | |
return (0, "literal") | |
else: | |
return (1, str(x)+","+str(y)) | |
def terminos(self, px: int, py: int): | |
#terminos={"valores":[ ],"etiqueta":[]} | |
valores = [] | |
etiqueta = [] | |
lista = [lambda x, y: (self.__condicion(x+1, y)[0]/4, self.__condicion(x+1, y)[1]), | |
lambda x, y: (self.__condicion(x-1, y) | |
[0]/4, self.__condicion(x-1, y)[1]), | |
lambda x, y: (-1*self.__condicion(x, y+1) | |
[0]/4, self.__condicion(x, y+1)[1]), | |
lambda x, y: (-1*self.__condicion(x, y-1) | |
[0]/4, self.__condicion(x, y-1)[1]), | |
lambda x, y: (-1*self.v0x*self.paso*self.__condicion(x+1, y) | |
[0]/8, self.__condicion(x+1, y)[1]), | |
lambda x, y: (self.v0x*self.paso*self.__condicion(x+1, y)[0]/8, self.__condicion(x+1, y)[1])] | |
for p in lista: | |
# valor,etiqueta | |
val, et = p(px, py) | |
valores.append(val) | |
etiqueta.append(et) | |
return {"valores": valores, "etiquetas": etiqueta} | |
class Discretizacion(): | |
def __init__(self, tamaño_malla: tuple = (20, 15), v0x: float = 1, paso: float = 1/2): | |
self.tamaño_malla = tamaño_malla | |
self.v0x = v0x | |
self.paso = paso | |
def crearMatrizX(self): | |
a = [] | |
b = [] | |
dif = DiferenciasFinitas( | |
paso=self.paso, v0x=self.v0x, tamaño_malla=self.tamaño_malla) | |
for row in range(1, self.tamaño_malla[0]-1): | |
for column in range(1, self.tamaño_malla[1]-1): | |
discretizacion = dif.terminos(row, column) | |
size_row = (self.tamaño_malla[0]-1)*(self.tamaño_malla[1]-1) | |
new_row = np.zeros((size_row)) | |
literal = 0 | |
for val, et in zip(discretizacion["valores"], discretizacion["etiquetas"]): | |
if et == "literal": | |
literal += val | |
else: | |
aux_tam = self.tamaño_malla[0]-1 | |
posx = Utils.getX(et) | |
posy = Utils.getY(et) | |
new_row[((posy-1)*aux_tam)+posx] = val | |
literal *= -1 | |
a.append(new_row) | |
b.append(literal) | |
a = np.array(a) | |
b = np.array(b) | |
return (a, b) | |
dis = Discretizacion() | |
matriz = dis.crearMatrizX() | |
print(matriz[0]) | |
imagen = Image.fromarray(matriz[0]*256) | |
imagen.show() |
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