InversePDE / data /PDE2D /BoundaryShape /circlewithelectrodes.py
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import drjit as dr
import numpy as np
from PDE2D.Coefficient import *
from PDE2D.BoundaryShape import *
from PDE2D.utils import *
from PDE2D import ArrayXb, ArrayXu
from mitsuba import Point2i
import scipy
class CircleWithElectrodes(CircleShape):
def __init__(self, origin = [0.0, 0.0], radius = 1.0, name = "electrodeCircle", epsilon = 1e-5,
num_electrodes = 16, is_delta = False, electrode_length = 0.01,
injection_confs = [[0,1]], injected_current = 1.0, electrode_potentials = None,
offset_angle = 0.0, centered = False, fileset = None, injection_set = None, delete_injection = True):
self.name = name
super().__init__(origin, radius, dirichlet_map = np.array([False]), epsilon = epsilon, name = self.name)
if fileset is not None:
mat = scipy.io.loadmat(fileset)
range_exp = self.get_injection_range_file_all(fileset=fileset, injection_sets=injection_set)
self.measured_current = True
self.voltages_first = mat["Uel"].T[range_exp]
self.num_confs = self.voltages_first.shape[0]
self.num_electrodes = self.voltages_first.shape[1]
self.voltages_first = np.hstack([np.zeros([self.num_confs,1]), self.voltages_first])
self.voltages_first = self.voltages_first.cumsum(axis = 1)[:, :16]
self.currents = mat["CurrentPattern"].T[range_exp]
nonzeros = np.nonzero(self.currents)
if delete_injection:
self.voltages = self.voltages_first
self.voltages[self.currents!=0] = 0
self.voltages = self.voltages - (np.sum(self.voltages, axis = 1))[:,np.newaxis] / (num_electrodes - 2)
self.voltages[self.currents!=0] = 0
else:
self.voltages = self.voltages_first
self.voltages = self.voltages - (np.mean(self.voltages, axis = 1))[:,np.newaxis]
#self.voltages = self.voltages.astype(np.float32)
self.voltages_std = np.zeros(num_electrodes)
positive_inj = nonzeros[1][np.nonzero((self.currents[nonzeros] > 0).astype(np.int16) )]
negative_inj = nonzeros[1][np.nonzero((self.currents[nonzeros] < 0).astype(np.int16) )]
current_confs = np.vstack([positive_inj, negative_inj]).T
self.electrode_length = 0.025
self.injected_current = np.abs(self.currents[nonzeros][0])
self.injections = current_confs
self.injection_confs = Point2i(current_confs.T)
else:
self.num_electrodes = num_electrodes
if injection_set is None:
if injection_confs is not None:
self.injections = injection_confs
else:
raise Exception("Either specify an injection set or injection configuration.")
else:
self.injections = self.create_injection_set_all(injection_set, num_electrodes)
self.num_confs = len(self.injections)
self.injection_confs = Point2i(np.array(self.injections).T) # The first one is injected, the second one is received.
self.injected_current = injected_current
self.voltages = electrode_potentials
self.electrode_length = electrode_length
self.is_delta = is_delta
self.has_delta = is_delta
self.NEE = NEE.Special
self.has_continuous_neumann = not is_delta
self.el_diff_angle = 2 * dr.pi / self.num_electrodes
self.el_center_angles = correct_angle(offset_angle + dr.arange(Float, self.num_electrodes) * self.el_diff_angle)
self.normal_ders = {}
if not is_delta:
self.el_angle = self.electrode_length / self.radius
if not centered:
self.el_center_angles += self.el_angle/2
self.el_center_angles = correct_angle(self.el_center_angles)
el_ending1 = correct_angle(self.el_center_angles - self.el_angle/2)
el_ending2 = correct_angle(self.el_center_angles + self.el_angle/2)
self.el_endings = Point2f(el_ending1, el_ending2)
dr.make_opaque(self.el_endings)
dr.make_opaque(self.el_center_angles)
self.num_conf_n = self.num_confs
def create_injection_set_all(self, injection_sets, num_electrodes):
sets = injection_sets.split("-")
final_set = []
for set in sets:
final_set.extend(self.create_injection_set(set, num_electrodes))
return final_set
def create_injection_set(self, injection_set, num_electrodes):
if injection_set == "adjacent":
set = [[i, (i + 1) % num_electrodes] for i in range(num_electrodes)]
elif injection_set[:4] == "skip":
try:
skip = int(injection_set[4:])
except:
print("You need to specify a number after skip.")
set = [[i, (i + skip + 1) % num_electrodes] for i in range(num_electrodes)]
elif injection_set[:7] == "against":
try:
against = int(injection_set[7:])
except:
print("You need to specify a number after against.")
set = [[against, (against + i) % num_electrodes] for i in range(num_electrodes - 1)]
else:
raise Exception("There is no such injection set.")
return set
def get_injection_range_file_all(self, fileset, injection_sets):
sets = injection_sets.split("-")
range_all = []
for set in sets:
range_all.extend(self.get_injection_range_file(fileset, set))
return range_all
def get_injection_range_file(self, fileset, injection_set : str):
if injection_set == "adjacent":
range_exp = [i for i in range(0, 16)]
elif injection_set == "skip1":
range_exp = [i for i in range(16, 32)]
elif injection_set == "skip2":
range_exp = [i for i in range(32, 48)]
elif injection_set == "skip3":
range_exp = [i for i in range(48, 64)]
elif injection_set == "against1":
range_exp = [i for i in range(64, 79)]
elif injection_set == "all":
range_exp = [i for i in range(0, 79)]
else:
raise Exception("There is no such injection!")
return range_exp
def get_injection_confs(self, allsets : str, vis_set, num_electrodes : int):
sets = allsets.split("-")
range_all = []
begin = 0
end = 0
found = False
for set in sets:
if set == vis_set:
set = self.create_injection_set(set, num_electrodes)
found = True
begin = len(range_all)
end = begin + len(set)
else:
range_all.extend(self.create_injection_set(set, num_electrodes))
if not found:
raise Exception("Such set does not exist")
else:
return [dr.opaque(UInt32, i, shape = (1)) for i in range(begin, end)]
@dr.syntax
def sampleNEE(self, bi : BoundaryInfo, sample : Float, conf_number : UInt32) -> tuple[Float, Float, Float, Point2f]:
d, n, pdf_r, sampled = (Float(0), Float(0), Float(0), Point2f(0))
if dr.hint(self.has_continuous_neumann, mode = 'scalar'):
d, n, pdf_r, sampled = (Float(0), Float(0), Float(0) , Point2f(0))
if sample < 0.5:
sample *= 2
d, n, pdf_r, sampled = self.sample_electrode(bi, sample, conf_number, injected = True)
else:
sample = 2 * (sample - 0.5)
d, n, pdf_r, sampled = self.sample_electrode(bi, sample, conf_number, injected = False)
return d, n, pdf_r/2, sampled
def get_point_neumann(self, bi : BoundaryInfo, conf_number : UInt32) -> tuple[list[Float], list[Float], list[Float], list[Point2f]]:
if self.has_delta:
d1, n1, pdf1_r, sampled1 = self.sample_electrode(bi, Float(0), conf_number, injected = True)
d2, n2, pdf2_r, sampled2 = self.sample_electrode(bi, Float(0), conf_number, injected = False)
return [d1, d2], [n1, n2], [pdf1_r, pdf2_r], [sampled1, sampled2]
def sample_electrode(self, bi : BoundaryInfo, sample : Float, conf_number : UInt32 , injected = True):
sign = 1 if injected else -1
electrode_num = 0 if injected else 1
# This function assumes there is only 2 electrode injection
current_conf = dr.gather(Point2i, self.injection_confs, conf_number)
diff1 = bi.x1 - self.origin
diff2 = bi.x2 - self.origin
star_angle1 = correct_angle(dr.atan2(diff1[0], diff1[1]))
star_angle2 = correct_angle(dr.atan2(diff2[0], diff2[1]))
if self.is_delta:
s = dr.gather(Float, self.el_center_angles, current_conf[electrode_num])
valid = self.inside_range(star_angle1, star_angle2, s)
neumann = dr.select(valid & bi.is_star, self.injected_current, 0) * sign
sampled_point = self.origin + self.radius * Point2f(dr.sin(s), dr.cos(s))
distance = dr.norm(sampled_point - bi.origin)
pdf_r = 2 * dr.pi * distance # actual pdf is "1", we multiply everything by 2 pi r, (cancels out Green's function computation)
else: # either one of the electrode ends are inside the star or the whole electrode covers the star.
el_end1 = dr.gather(Float, self.el_endings[0], current_conf[electrode_num])
el_end2 = dr.gather(Float, self.el_endings[1], current_conf[electrode_num])
el_end1_inside = self.inside_range(star_angle1, star_angle2, el_end1)
el_end2_inside = self.inside_range(star_angle1, star_angle2, el_end2)
el_active = bi.is_star & (el_end1_inside | el_end2_inside | self.inside_range(el_end1, el_end2, star_angle1))
sample_range1 = dr.select(el_end1_inside, el_end1, star_angle1)
sample_range2 = dr.select(el_end2_inside, el_end2, star_angle2)
current_flux = self.injected_current / self.electrode_length
neumann = dr.select(el_active, current_flux, 0) * sign
# We are going to sample an angle from the star center! So we find the range of angles first
sample_p_range1 = self.origin + self.radius * Point2f(dr.sin(sample_range1), dr.cos(sample_range1))
sample_p_range2 = self.origin + self.radius * Point2f(dr.sin(sample_range2), dr.cos(sample_range2))
range_vec1 = sample_p_range1 - bi.origin
range_vec2 = sample_p_range2 - bi.origin
angle1 = correct_angle(dr.atan2(range_vec1[0], range_vec1[1]))
angle2 = correct_angle(dr.atan2(range_vec2[0], range_vec2[1]))
bi.update_angles(angle1, angle2)
# We also need to change on_boundary value. We sample as if we are on the boundary only
# if the star origin is on the boundary and inside electrode!
angle_n = correct_angle(dr.atan2(bi.bn[0], bi.bn[1]))
star_origin_angle = correct_angle(angle_n + dr.pi)
on_boundary_electrode = bi.on_boundary & self.inside_range(el_end1, el_end2, star_origin_angle)
direction, pdf = bi.sample_neumann(sample, on_boundary_electrode)
# distance, sampled_point, normals = self.ray_intersect(bi.origin, direction, bi.on_boundary)
ri = self.ray_intersect(bi, direction)
pdf_r = pdf * dr.abs(dr.dot(direction, ri.normal)) * 2 * dr.pi # pdf with respect to area and also multiplied with 2 pi r
distance = ri.t
sampled_point = ri.intersected
return distance, neumann, pdf_r, sampled_point
def inside_range(self, angle1, angle2, angle):
electrode_start = angle1 > angle2
normal_case = (angle1 < angle) & (angle2 > angle)
start_case = (angle1 < angle) | (angle2 > angle)
return dr.select(electrode_start, start_case, normal_case)
def create_neumann_function(self, conf_numbers : list[UInt32]):
if self.is_delta:
raise NotImplementedError
confs = []
for conf_number in conf_numbers:
params = {}
params["conf"] = conf_number
def neumann_val(point, params):
injections = dr.gather(Point2i, self.injection_confs, params["conf"])
el1_ending1 = dr.gather(Float, self.el_endings[0], injections[0])
el1_ending2 = dr.gather(Float, self.el_endings[1], injections[0])
el2_ending1 = dr.gather(Float, self.el_endings[0], injections[1])
el2_ending2 = dr.gather(Float, self.el_endings[1], injections[1])
diff = point - self.origin
angle_point = correct_angle(dr.atan2(diff[0], diff[1]))
inside_el1 = self.inside_range(el1_ending1, el1_ending2, angle_point)
inside_el2 = self.inside_range(el2_ending1, el2_ending2, angle_point)
neumann_val = self.injected_current / self.electrode_length
result = dr.select(inside_el1, neumann_val, 0)
result = dr.select(inside_el2, -neumann_val, result)
return result
neumann_coeff = FunctionCoefficient(f"neumann-{conf_number}", params, neumann_val)
confs.append(neumann_coeff)
return confs
def create_electrode_points(self, spe, conf_numbers : list[UInt32], delete_injection : bool = True):
angles = Float(self.el_center_angles)
points = self.origin + self.radius * Point2f(dr.sin(angles), dr.cos(angles))
dr.make_opaque(points)
points = dr.repeat(points, spe)
electrode_nums = dr.zeros(ArrayXu, shape = (len(conf_numbers), self.num_electrodes))
active_confs = dr.zeros(ArrayXb, shape=(len(conf_numbers), self.num_electrodes))
for i, conf_number in enumerate(conf_numbers):
electrode_num = np.arange(self.num_electrodes)
active_conf = np.zeros(self.num_electrodes, dtype = bool)
if delete_injection:
current_conf = dr.gather(Point2i, self.injection_confs, conf_number)
electrode_num = np.delete(electrode_num, current_conf.numpy())
active_conf[electrode_num] = True
electrode_nums[i] = UInt32(electrode_num)
active_confs[i] = Bool(active_conf)
dr.make_opaque(active_confs)
active_confs = dr.repeat(active_confs, spe)
dr.make_opaque(electrode_nums)
return points, active_confs, electrode_nums
def sketch(self, ax, bbox, resolution, colors = ["orange", "green"], lw = 3, e_size = None):
origin_s = point2sketch(self.origin, bbox, resolution)
origin_s = np.array([origin_s[0][0], origin_s[1][0]])
radius_x, radius_y, radius = dist2sketch(self.radius, bbox, resolution)
radius_x = radius_x.numpy()[0]
radius_y = radius_y.numpy()[0]
sphere = patches.Ellipse(origin_s, radius_x * 2, radius_y * 2, linewidth= lw,
fill = False, color = colors[0], label = self.name)
ax.add_patch(sphere)
origin_s = point2sketch(self.origin, bbox, resolution)
origin_s = np.array([origin_s[0][0] - 0.5, origin_s[1][0] - 0.5])
radius_x, radius_y, radius = dist2sketch(self.radius, bbox, resolution)
radius_x = radius_x.numpy()[0]
radius_y = radius_y.numpy()[0]
if self.is_delta:
el_points = point2sketch(self.origin + self.radius * Point2f(dr.sin(self.el_center_angles), dr.cos(self.el_center_angles)),
bbox, resolution).numpy().squeeze()
if e_size is None:
ax.scatter(el_points[0,:] -0.5, el_points[1,:]-0.5, color = colors[1])
else:
ax.scatter(el_points[0,:] -0.5, el_points[1,:]-0.5, color = colors[1], s = e_size)
else:
angles1 = self.el_endings.numpy()[0, :] * 180 / np.pi
angles2 = self.el_endings.numpy()[1, :] * 180 / np.pi
for angle1, angle2 in zip(angles1, angles2):
neumann_arc = patches.Arc(origin_s, 2 * radius_x, 2 * radius_y, angle = -90, theta1=angle1,
theta2=angle2, linewidth = lw, color = colors[1])
ax.add_patch(neumann_arc)
def sketch_electrode_input(self, ax, bbox, resolution, conf_number = UInt32(0), color = "red"):
current_conf = dr.gather(Point2i, self.injection_confs, conf_number)
angle1 = dr.gather(Float, self.el_center_angles, current_conf[0])
angle2 = dr.gather(Float, self.el_center_angles, current_conf[1])
point1_start = point2sketch(self.origin + self.radius * 1.1 * Point2f(dr.sin(angle1), dr.cos(angle1)), bbox, resolution).numpy().squeeze()
point1_diff = dir2sketch(-0.08 * self.radius * Point2f(dr.sin(angle1), dr.cos(angle1)), bbox, resolution).numpy().squeeze()
point2_start = point2sketch(self.origin + self.radius * 1.02 * Point2f(dr.sin(angle2), dr.cos(angle2)), bbox, resolution).numpy().squeeze()
point2_diff = dir2sketch(self.radius * 0.08 * Point2f(dr.sin(angle2), dr.cos(angle2)), bbox, resolution).numpy().squeeze()
arrow_1 = patches.FancyArrow(point1_start[0] - 0.5, point1_start[1] - 0.5, point1_diff[0], point1_diff[1],
width=2 / 512 * resolution[0], length_includes_head=True, color = color)
arrow_2 = patches.FancyArrow(point2_start[0] - 0.5, point2_start[1] - 0.5, point2_diff[0], point2_diff[1],
width=2 / 512 * resolution[0], length_includes_head=True, color = color)
ax.add_patch(arrow_1)
ax.add_patch(arrow_2)