float(pc.split()[1]))
ymax = max(float(pa.split()[1]), float(pb.split()[1]),
float(pc.split()[1]))
if ((xmin < float(nodes.split()[0]) < xmax)
and (ymin < float(nodes.split()[1]) < ymax)):
#coordList = Point([float(nodes.split()[0]), float(nodes.split()[1])]) # check if the lidar point is inside the rectangal
x1 = cut_element[0][0]
y1 = cut_element[0][1]
x2 = cut_element[1][0]
y2 = cut_element[1][1]
x3 = cut_element[2][0]
y3 = cut_element[2][1]
xsi, eta = inside(float(nodes.split()[0]),
float(nodes.split()[1]), x1, y1, x2,
y2, x3, y3)
# here we try to find if the the point is inside the element
#if element.contains(coordList) is True:
if (0.0 < xsi < 1.0 and 0.0 < eta < 1.0):
d1 = math.sqrt(eta**2 + xsi**2)
d2 = math.sqrt((eta - 1.0)**2 + xsi**2)
d3 = math.sqrt((xsi - 1.0)**2 + (eta**2))
if min(d1, d2, d3) > math.sqrt(
2
) / 10.0: # WE WANT TO AVOID OF COLLECTING POINTS WHICH ARE NEAR THE VERTICES
xnew = float(nodes.split()[0])
ynew = float(nodes.split()[1])
# "A" is a list which contains all the lidar points inside th element
# We want to interpolate H for the Lidar point located in the element
def ORIGINAL_FUNCTION(lidar,new_points):
with open ('parameters.txt','r') as f:
for x, line in enumerate(f):
if x == 0:
water_depth = line
water_depth = water_depth.replace("\n","")
#if x == 1:
# topology = line
# topology = topology.replace("\n","")
if x == 2:
epsilon = float(line)
if x == 3:
alpha = float(line)
#if x == 4:
# new_points = line
# print("epsilon",)
#READ VECTOR SOLUTION (either eta or H)
with open(water_depth, 'r') as f1:
for x, line in enumerate(f1): #with enumerate function we make a relationship between 2 parameeters of (x and line). x is the number of the line, and line is the content of each line
if "EndHeader" in line:
num1 = x # x is the number of the line which coordinate with start
with open(water_depth, 'r') as f1:
for x, line in enumerate(f1):
if "NodeCount" in line:
num2 = x
with open(water_depth, 'r') as f:
for x, line in enumerate(f):
if x == num2: # we want to find when the connectivities start and when they are finished
total_nodes = float(line.split()[1]) # THIS IS THE TOTAL NUMBER OF NODES
# READ ALL COORDINATES X, Y and the solution variable (eta or H)
with open('coordinate','w') as f3:
with open(water_depth, "r") as f2:
for x, line in enumerate(f2):
if num1-2 < x <= (total_nodes +num1):
f3.write(line)
with open('coordinate', "r") as f:
for x, line in enumerate(f):
if x>=0:
points = f.readlines()
print(points[1])
#we want to extract the connectivities of the elements
with open("log_file2.txt","r") as f:
csvfile = csv.reader(f, delimiter =' ') # Try to read old connectivities
with open('log_file3.txt','a') as flog:
flog.write("epsilon=")
flog.write(str(epsilon))
flog.write("\n")
flog.write("alpha=")
flog.write(str(alpha))
flog.write("\n")
total_number_newpoints = 0
for x, line in enumerate(csvfile):
if x>=0:
with open('log_file3.txt', 'a') as flog:
flog.write("processing element=")
flog.write(str(int(x-total_nodes-num1)))
flog.write("\n")
#a ,b,c are node numbers
a = line[0]
b = line[1]
c = line[2]
# pa,pb,pc are the nodes represented by x,y, eta or H
pa = points[int(a)]
pb = points[int(b)]
pc = points[int(c)]
cut_element = []
# first find if the element is wet, dry, or cut elemets
cut_element = check_element(pa, pb, pc)
# cut_element contains [(x1,y1),(x2,y2),(x3,y3),(x1,y1)] for defining the polygon
with open('log_file3.txt', 'a') as flog:
flog.write("cut_element=")
flog.write(str(cut_element))
flog.write("\n")
if cut_element != []:
#element = Polygon(cut_element)
#we should do the loop for cut-elements only
#we want to check all the lidar points to see if they are in the cut element
A = []
for nodes in lidar:
# now we reduce the lidar nodes which we want to check for each element to the min(x1,x2,x3) and min(y1,y2,y3) till max(x1,x2,x3) and max(y1,y2,y3)
xmin = min(float(pa.split()[0]),float(pb.split()[0]),float(pc.split()[0]))
xmax = max(float(pa.split()[0]),float(pb.split()[0]),float(pc.split()[0]))
ymin = min(float(pa.split()[1]),float(pb.split()[1]),float(pc.split()[1]))
ymax = max(float(pa.split()[1]),float(pb.split()[1]),float(pc.split()[1]))
if ((xmin<float(nodes.split()[0])<xmax) and
(ymin<float(nodes.split()[1]) < ymax)):
#coordList = Point([float(nodes.split()[0]), float(nodes.split()[1])]) # check if the lidar point is inside the rectangal
x1 = cut_element[0][0]
y1 = cut_element[0][1]
x2 = cut_element[1][0]
y2 = cut_element[1][1]
x3 = cut_element[2][0]
y3 = cut_element[2][1]
xsi, eta = inside(float(nodes.split()[0]),float(nodes.split()[1]),x1,y1,x2,y2,x3,y3)
# here we try to find if the the point is inside the element
#if element.contains(coordList) is True:
if (0.0 < xsi < 1.0 and 0.0 < eta < 1.0):
d1 = math.sqrt(eta**2 + xsi**2)
d2 = math.sqrt((eta-1.0)**2 + xsi**2)
d3 = math.sqrt((xsi-1.0)**2+(eta**2))
if min(d1, d2, d3) > math.sqrt(2)/10.0: # WE WANT TO AVOID OF COLLECTING POINTS WHICH ARE NEAR THE VERTICES
xnew = float(nodes.split()[0])
ynew = float(nodes.split()[1])
# "A" is a list which contains all the lidar points inside th element
# We want to interpolate H for the Lidar point located in the element
Hnew = interpol(float(pa.split()[0]),float(pa.split()[1]),float(pa.split()[2]),float(pb.split()[0]),float(pb.split()[1]),float(pb.split()[2]),float(pc.split()[0]),float(pc.split()[1]),float(pc.split()[2]),xnew,ynew)
if Hnew < alpha*epsilon: # We changed abs(Hnew) with Hnew
A = A+ [(xnew,ynew,float(nodes.split()[2]))]
# done for the current element
if A!=[]:
with open(new_points, "a") as feta:
# we are trying to find the points which are making bump(max of z) or valley(min of z)
feta.write(str(max(A,key=itemgetter(2))))
feta.write("\n")
total_number_newpoints= total_number_newpoints + 1
if max(A,key=itemgetter(2)) != min(A,key=itemgetter(2)):
feta.write(str(min(A,key=itemgetter(2))))
feta.write("\n")
total_number_newpoints = total_number_newpoints + 1
with open('log_file3.txt', 'a') as flog:
flog.write("done with this cut_element=")
flog.write(str(cut_element))
flog.write("\n")
cut_element = []
with open('log_file3.txt', 'a') as flog:
flog.write("processing element done")
flog.write("\n")
flog.write("total number points = ")
flog.write(str(total_number_newpoints))
flog.write("\n")
