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