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Author SHA1 Message Date
Theophile Terraz eae1f83a73 remove GL doublons 2023-12-20 14:53:18 +01:00
Theophile Terraz a738bf3679 merge 2023-12-20 14:10:33 +01:00
Theophile Terraz 888002cd10 another purge criterion 2023-10-03 13:13:52 +02:00
Theophile Terraz e1880c6549 work on purge 2023-09-28 17:09:40 +02:00
Theophile Terraz 9f0caaaa69 Merge branch 'master' into mesh 2023-09-27 10:16:02 +02:00
Theophile Terraz fa35d49a42 add purge 2023-07-06 11:33:59 +02:00
Theophile Terraz 4935069864 add a basic st_to_m method 2023-07-05 15:49:30 +02:00
Theophile Terraz 6438d23304 begin interpolation 2023-06-28 15:32:24 +02:00
4 changed files with 398 additions and 1 deletions

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+53 -1
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@@ -16,7 +16,7 @@
# -*- coding: utf-8 -*-
from math import dist
from math import dist, sqrt, acos
import numpy as np
from Model.Tools.PamhyrDB import SQLSubModel
@@ -204,3 +204,55 @@ class PointXYZ(Point, SQLSubModel):
Euclidean distance between the two points
"""
return dist((p1.x, p1.y, p1.z), (p2.x, p2.y, p2.z))
@staticmethod
def angle(p1, p2, p3):
"""angle p1 p2 p3.
Args:
p1: A XYZ Point
p2: A XYZ Point
p3: A XYZ Point
Returns:
angle p1 p2 p3
"""
a = PointXYZ.distance(p1, p2)
b = PointXYZ.distance(p2, p3)
c = PointXYZ.distance(p1, p3)
return acos((a**2 + b**2 - c**2) / (2 * a * b))
@staticmethod
def triangle_height(p1, p2, p3):
"""triangle p1 p2 p3 height starting at p2.
Args:
p1: A XYZ Point
p2: A XYZ Point
p3: A XYZ Point
Returns:
triangle height starting at p2
"""
a = PointXYZ.distance(p1, p2)
b = PointXYZ.distance(p2, p3)
c = PointXYZ.distance(p1, p3)
h2 = a**2 - ((c**2 - b**2 + a**2) / 2*c)**2
return sqrt(h2)
@staticmethod
def triangle_area(p1, p2, p3):
"""triangle p1 p2 p3 area.
Args:
p1: A XYZ Point
p2: A XYZ Point
p3: A XYZ Point
Returns:
triangle height starting at p2
"""
h = PointXYZ.triangle_height(p1, p2, p3)
d = PointXYZ.distance(p1, p3)
return h*d/2
+14
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@@ -214,6 +214,20 @@ class Profile(object):
self.points.insert(index, point)
self._status.modified()
def add_point(self, point:Point):
"""append point at end of profile.
Args:
point: The point.
Returns:
Nothing.
"""
self._points.append(point)
self._status.modified()
def delete_i(self, indexes: list):
self._points = list(
map(
+71
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@@ -440,6 +440,77 @@ class ProfileXYZ(Profile, SQLSubModel):
return list(map(lambda s: s - constant, station))
@timer
def length(self) -> list:
l = []
x = self.x()
y = self.y()
z = self.z()
for i in range(len(self.points)-1):
dx = x[i+1] - x[i]
dy = y[i+1] - y[i]
dz = z[i+1] - z[i]
l.append( np.sqrt(dx*dx + dy*dy + dz*dz) )
return l
@timer
def cumul_length(self) -> list:
lcum = []
lc = 0.0
l = self.length()
for i in l:
lc = lc + i
lcum.append(lc)
return lcum
@timer
def purge1(self, np) -> list:
points = self.points
if (self.number_points <= np): return points
while len(points) > np:
x1 = [point.x() for point in points]
y1 = [point.y() for point in points]
z1 = [point.z() for point in points]
l = [(x*x+y*y+z*z) for (x,y,z) in zip(x1,y1,z1)]
l2 = [(x + y) for (x, y) in zip(l[:-1], l[1:])]
imin = np.argmin(l2)+1
points.pop(imin)
return points
@timer
def purge2(self, np) -> list:
points = self.points
if (self.number_points <= np): return points
while len(points) > np:
l2 = []
for i in range(len(points)-2):
l2.append(PointXYZ.angle(points(i),points(i+1),points(i+2)))
imax = np.argmax(l2)+1
points.pop(imax)
return points
@timer
def purge3(self, np) -> list:
points = self.points
if (self.number_points <= np): return points
while len(points) > np:
l2 = []
for i in range(len(points)-2):
l2.append(PointXYZ.triangle_area(points(i),points(i+1),points(i+2)))
imin = np.argmin(l2)+1
points.pop(imin)
return points
def width_approximation(self):
rg = self.get_point_by_name("rg")
rd = self.get_point_by_name("rd")
+260
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@@ -579,6 +579,266 @@ class Reach(SQLSubModel):
file_st.write(" 999.9990 999.9990 999.9990")
file_st.write("\n")
# Interpolate
@timer
def interpolate_step(self, lim: list, guideline1: str, guideline2: str, step: float, longmi: int, linear: bool):
"""interpolate with a given step between profile lim[0] and profile lim[1]
Args:
lim: index of profiles for interpolation
guideline1: first guideline for distance
guideline2: second guideline for distance
step: interpolation step
longmi: 1 if distance computed on min(dist(guideline1),dist(guideline2))
2 if distance computed on max(dist(guideline1),dist(guideline2))
else: distance computed on (dist(guideline1)+dist(guideline2))/2
linear: true if linear interpolation, false if spline interpolation
Returns:
List of profiles including old profiles and interpolated profiles.
"""
if len(lim) != 2:
print('TODO: CRITICAL ERROR!') # error for now, only one interval
if lim[0] < 0 or lim[0] >= lim[1] or lim[1] >= self.number_profiles:
print('TODO: CRITICAL ERROR!')
if lim[1] < 0 or lim[0] > lim[1]:
print('TODO: CRITICAL ERROR!')
comp, inconmp = self.compute_guidelines()
if not guideline1 in comp:
print('TODO: CRITICAL ERROR!')
if not guideline2 in comp:
print('TODO: CRITICAL ERROR!')
nbsti = [] # number of profiles to add between self._profile[i] and self._profile[i+1]
for i in range(lim[0]):
nbsti.append(0)
for i in range(lim[0],lim[1]-1):
points = self.profile(i).points
point11 = next(filter(lambda p: p.name == guideline1, points))
point12 = next(filter(lambda p: p.name == guideline2, points))
points = self.profile(i+1).points
point21 = next(filter(lambda p: p.name == guideline1, points))
point22 = next(filter(lambda p: p.name == guideline2, points))
d1 = point11.dist(point21)
d2 = point12.dist(point22) # warning: 3D distance
if (longmi == 1):
d = max(d1, d2)
elif (longmi == 2):
d = min(d1, d2)
else:
d = 0.5*(d1 + d2)
nbsti[i] = nint(d / pas) - 1
if(nbsti[i] < 0): nbsti[i] = 0
for i in range(lim[1]-1,self.number_profiles-1):
nbsti.append(0)
return self.interpolate_nprof(nbsti, lineaire)
@timer
def interpolate_nprof(self, nbsti: List[int], linear: bool):
"""add nbsti[i] profiles between self._profile[i] and self._profile[i+1]
Args:
nbsti: number of profiles to add between self._profile[i] and self._profile[i+1]
linear: true if linear interpolation, false if spline interpolation
Returns:
List of profiles including old profiles and interpolated profiles.
"""
if(lineaire):
return self.interpolate_linear(nbsti)
else:
# we might add the spline interpolation later
print('TODO: CRITICAL ERROR!')
@timer
def interpolate_linear(self, nbsti: List[int]):
"""add nbsti[i] profiles between self._profile[i] and self._profile[i+1]
Args:
nbsti: number of profiles to add between self._profile[i] and self._profile[i+1]
Returns:
List of profiles including old profiles and interpolated profiles.
"""
if len(nbsti) != self.number_profiles()-1:
print('TODO: CRITICAL ERROR!') # error for now, only one interval
sections_out = []
kps = self.get_kp()
for isect_in in range(len(nbsti)):
sections_out.append(self.profiles(isect_in))
dkp = kps[isect_in + 1] - kps[isect_in]
sect_in1 = self.profiles(isect_in)
sect_in2 = self.profiles(isect_in+1)
for isect_loc in range(nbsti[isect_in]):
# RATIO entre les deux sections initiales
d=float(isect_loc)/float(nbsti(isect_in)+1)
x1 = sect_in1.x()
y1 = sect_in1.y()
z1 = sect_in1.z()
x2 = sect_in2.x()
y2 = sect_in2.y()
z2 = sect_in2.z()
tags = sect_in1.names()
section_out.append(ProfileXYZ(kp = kps[isect_in] + d*dkp,
reach = self))
for i in range(len(x1)): # can do better...
# add the points to the created section
sections_out[-1].add_point(PointXYZ(x = x1[i] + d*(x2[i] - x1[i]),
y = y1[i] + d*(y2[i] - y1[i]),
z = z1[i] + d*(z2[i] - z1[i]),
name = tags[i]))
# don't forget the last one:
sections_out.append(self.profiles[self.number_profiles-1])
return sections_out
@timer
def st_to_m(self):
"""convert a ST bief to a M bief (same number of points on every section)
Args:
nbsti: number of profiles to add between self._profile[i] and self._profile[i+1]
Returns:
List of profiles including old profiles and interpolated profiles.
"""
isectmax = 0
npoint_max = 0
new_profiles = []
np = []
nprof = len(self.number_profiles)
# find the profile with more points
for isect in range(nprof):
new_profiles.append(self.profile(isect))
points = new_profiles[isect].points
np.append(len(points))
if(npoint_max < len(points)):
npoint_max = len(points)
isectmax = isect
# let's go ! up from isectmax
for isect in range(isectmax+1,nprof):
# TODO case new_profiles[isect].length() = 0.0
# TODO case new_profiles[isect-1].length() = 0.0
l = new_profiles[isect-1].length() # length of each segment
lcum = new_profiles[isect-1].cumul_length() # lcum[-1] is length
alpha = [i/lcum[-1] for i in lcum]
l = new_profiles[isect].length()
lcum = new_profiles[isect].cumul_length()
beta = [i/lcum[-1] for i in lcum]
for i in range(np[isect], npoints_max):
beta.append(1.0)
for k in range(np[isect]): # boucle sur les points à rajouter
trouve = False
for j0 in range(np[isect]-1):
if(trouve):break
undeplus=True
for j1 in range(j0, np[isect]-1):
if(undeplus):
if(beta[j1].le.alpha[j1]):
undeplus=False
break
if (undeplus):
if (j0 == np[isect]-2):
trouve=True
else:
j1=j0+1
if (beta[j0]-alpha[j0] > alpha[j1]-beta[j0]): # beta(j0) > (alpha(j1)+alpha(j2))/2
trouve = True
if (trouve):
# on rajoute un point
ratio=(alpha[j0]-beta[j0-1])/(beta[j0]-beta[j0-1])
if (ratio < 0.0):
# on double le point a gauche
new_profiles[isect].insert_point(j0,new_profiles[isect].points[j0])
beta[j0]=beta[j0-1]
new_profiles[isect].points[j0+1].name('')
else:
p = PointXYZ(x = (1.0-ratio)*new_profiles[isect].points[j0].x + ratio*new_profiles[isect].points[j0].x,
y = (1.0-ratio)*new_profiles[isect].points[j0].y + ratio*new_profiles[isect].points[j0].y,
z = (1.0-ratio)*new_profiles[isect].points[j0].z + ratio*new_profiles[isect].points[j0].z
)
new_profiles[isect].insert_point(j0,p)
n = len(new_profiles[isect].points)
if n <= npoint_max: # we add the missing points at the end of the profile
for k in range(n,npoints_max): new_profiles[isect].add_point(new_profiles[isect].points[-1])
# let's go ! down from isectmax
for isect in range(isectmax-1,-1,-1):
# TODO case new_profiles[isect].length() = 0.0
# TODO case new_profiles[isect-1].length() = 0.0
l = new_profiles[isect+1].length() # length of each segment
lcum = new_profiles[isect+1].cumul_length() # lcum[-1] is length
alpha = [i/lcum[-1] for i in lcum]
l = new_profiles[isect].length()
lcum = new_profiles[isect].cumul_length()
beta = [i/lcum[-1] for i in lcum]
for i in range(np[isect], npoints_max):
beta.append(1.0)
for k in range(np[isect]): # boucle sur les points à rajouter
trouve = False
for j0 in range(np[isect]-1):
if(trouve):break
undeplus=True
for j1 in range(j0, np[isect]-1):
if(undeplus):
if(beta[j1].le.alpha[j1]):
undeplus=False
break
if (undeplus):
if (j0 == np[isect]-2):
trouve=True
else:
j1=j0+1
if (beta[j0]-alpha[j0] > alpha[j1]-beta[j0]): # beta(j0) > (alpha(j1)+alpha(j2))/2
trouve = True
if (trouve):
# on rajoute un point
ratio=(alpha[j0]-beta[j0-1])/(beta[j0]-beta[j0-1])
if (ratio < 0.0):
# on double le point a gauche
new_profiles[isect].insert_point(j0,new_profiles[isect].points[j0])
new_profiles[isect].points[j0+1].name('')
beta[j0]=beta[j0-1]
else:
p = PointXYZ(x = (1.0-ratio)*new_profiles[isect].points[j0].x + ratio*new_profiles[isect].points[j0].x,
y = (1.0-ratio)*new_profiles[isect].points[j0].y + ratio*new_profiles[isect].points[j0].y,
z = (1.0-ratio)*new_profiles[isect].points[j0].z + ratio*new_profiles[isect].points[j0].z,
)
new_profiles[isect].insert_point(j0,p)
n = len(new_profiles[isect].points)
if n <= npoint_max: # we add the missing points at the end of the profile
for k in range(n,npoints_max): new_profiles[isect].add_point(new_profiles[isect].points[-1])
@timer
def purge(self, np: int) -> list:
profiles = []
for profile in self.profiles():
points = profile.purge2(np)
profiles.append(ProfileXYZ())
profiles[-1].import_points(points)
return profiles
def get_incline(self):
first = self.profile(0)
last = self.profile(len(self) - 1)