From 9efbcc0a0650bb8f4ebef51b66251bd20a237584 Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Mon, 5 Oct 2026 13:06:23 +0100
Subject: [PATCH 01/13] Strip out model specific code

---
 .../Biophysics/BacterialModels/CLBacterium.cl | 1045 --------------
 .../Biophysics/BacterialModels/CLBacterium.py | 1254 -----------------
 .../Biophysics/BacterialModels/__init__.py    |    0
 .../GeneralModels/CLFixedPosition.py          |   88 --
 .../Biophysics/GeneralModels/__init__.py      |    0
 CellModeller/Biophysics/__init__.py           |    0
 .../Integration/CLCrankNicIntegrator.cl       |  329 -----
 .../Integration/CLCrankNicIntegrator.py       |  376 -----
 CellModeller/Integration/CLEulerIntegrator.cl |   35 -
 CellModeller/Integration/CLEulerIntegrator.py |  176 ---
 .../Integration/CLEulerSigIntegrator.cl       |  329 -----
 .../Integration/CLEulerSigIntegrator.py       |  351 -----
 CellModeller/Integration/__init__.py          |    0
 CellModeller/Signalling/GridDiffusion.py      |  163 ---
 CellModeller/Signalling/NeighbourDiffusion.py |  108 --
 CellModeller/Signalling/__init__.py           |    0
 16 files changed, 4254 deletions(-)
 delete mode 100644 CellModeller/Biophysics/BacterialModels/CLBacterium.cl
 delete mode 100644 CellModeller/Biophysics/BacterialModels/CLBacterium.py
 delete mode 100644 CellModeller/Biophysics/BacterialModels/__init__.py
 delete mode 100644 CellModeller/Biophysics/GeneralModels/CLFixedPosition.py
 delete mode 100644 CellModeller/Biophysics/GeneralModels/__init__.py
 delete mode 100644 CellModeller/Biophysics/__init__.py
 delete mode 100644 CellModeller/Integration/CLCrankNicIntegrator.cl
 delete mode 100644 CellModeller/Integration/CLCrankNicIntegrator.py
 delete mode 100644 CellModeller/Integration/CLEulerIntegrator.cl
 delete mode 100644 CellModeller/Integration/CLEulerIntegrator.py
 delete mode 100644 CellModeller/Integration/CLEulerSigIntegrator.cl
 delete mode 100644 CellModeller/Integration/CLEulerSigIntegrator.py
 delete mode 100644 CellModeller/Integration/__init__.py
 delete mode 100644 CellModeller/Signalling/GridDiffusion.py
 delete mode 100644 CellModeller/Signalling/NeighbourDiffusion.py
 delete mode 100644 CellModeller/Signalling/__init__.py

diff --git a/CellModeller/Biophysics/BacterialModels/CLBacterium.cl b/CellModeller/Biophysics/BacterialModels/CLBacterium.cl
deleted file mode 100644
index b121da0d..00000000
--- a/CellModeller/Biophysics/BacterialModels/CLBacterium.cl
+++ /dev/null
@@ -1,1045 +0,0 @@
-#define EPSILON 0.1f
-#define MARGIN 0.01f
-#define RHS_FRAC 1.f 
-#define ANG_LIMIT ((float)(5.f*3.14159f/180.f))
-#define ISQRT2 ((float)(1.f/sqrt(2.f)))
-#define POINT 0.01f
-
-// multiply a matrix and a vector
-//  m -- 4x4 matrix
-//  v -- 4-vector
-float4 matmul(float4 m[], float4 v) {
-  return m[0]*v.s0 + m[1]*v.s1 + m[2]*v.s2 + m[3]*v.s3;
-}
-
-
-// transpose a matrix
-//  m -- matrix to transpose (vector of columns)
-//  t -- result
-void transpose(float4 m[], float4 t[]) {
-  t[0].s0 = m[0].s0;
-  t[0].s1 = m[1].s0;
-  t[0].s2 = m[2].s0;
-  t[0].s3 = m[3].s0;
-  t[1].s0 = m[0].s1;
-  t[1].s1 = m[1].s1;
-  t[1].s2 = m[2].s1;
-  t[1].s3 = m[3].s1;
-  t[2].s0 = m[0].s2;
-  t[2].s1 = m[1].s2;
-  t[2].s2 = m[2].s2;
-  t[2].s3 = m[3].s2;
-  t[3].s0 = m[0].s3;
-  t[3].s1 = m[1].s3;
-  t[3].s2 = m[2].s3;
-  t[3].s3 = m[3].s3;
-}
-
-
-// multiply two 4x4 matrices
-//  a -- left matrix
-//  b -- right matrix
-//  r -- result
-// this is the naive way
-void matmulmat(float4 a[], float4 b[], float4 r[]) {
-  r[0].s0 = a[0].s0 * b[0].s0 + a[1].s0 * b[0].s1 + a[2].s0 * b[0].s2 + a[3].s0 * b[0].s3;
-  r[1].s0 = a[0].s0 * b[1].s0 + a[1].s0 * b[1].s1 + a[2].s0 * b[1].s2 + a[3].s0 * b[1].s3;
-  r[2].s0 = a[0].s0 * b[2].s0 + a[1].s0 * b[2].s1 + a[2].s0 * b[2].s2 + a[3].s0 * b[2].s3;
-  r[3].s0 = a[0].s0 * b[3].s0 + a[1].s0 * b[3].s1 + a[2].s0 * b[3].s2 + a[3].s0 * b[3].s3;
-  r[0].s1 = a[0].s1 * b[0].s0 + a[1].s1 * b[0].s1 + a[2].s1 * b[0].s2 + a[3].s1 * b[0].s3;
-  r[1].s1 = a[0].s1 * b[1].s0 + a[1].s1 * b[1].s1 + a[2].s1 * b[1].s2 + a[3].s1 * b[1].s3;
-  r[2].s1 = a[0].s1 * b[2].s0 + a[1].s1 * b[2].s1 + a[2].s1 * b[2].s2 + a[3].s1 * b[2].s3;
-  r[3].s1 = a[0].s1 * b[3].s0 + a[1].s1 * b[3].s1 + a[2].s1 * b[3].s2 + a[3].s1 * b[3].s3;
-  r[0].s2 = a[0].s2 * b[0].s0 + a[1].s2 * b[0].s1 + a[2].s2 * b[0].s2 + a[3].s2 * b[0].s3;
-  r[1].s2 = a[0].s2 * b[1].s0 + a[1].s2 * b[1].s1 + a[2].s2 * b[1].s2 + a[3].s2 * b[1].s3;
-  r[2].s2 = a[0].s2 * b[2].s0 + a[1].s2 * b[2].s1 + a[2].s2 * b[2].s2 + a[3].s2 * b[2].s3;
-  r[3].s2 = a[0].s2 * b[3].s0 + a[1].s2 * b[3].s1 + a[2].s2 * b[3].s2 + a[3].s2 * b[3].s3;
-  r[0].s3 = a[0].s3 * b[0].s0 + a[1].s3 * b[0].s1 + a[2].s3 * b[0].s2 + a[3].s3 * b[0].s3;
-  r[1].s3 = a[0].s3 * b[1].s0 + a[1].s3 * b[1].s1 + a[2].s3 * b[1].s2 + a[3].s3 * b[1].s3;
-  r[2].s3 = a[0].s3 * b[2].s0 + a[1].s3 * b[2].s1 + a[2].s3 * b[2].s2 + a[3].s3 * b[2].s3;
-  r[3].s3 = a[0].s3 * b[3].s0 + a[1].s3 * b[3].s1 + a[2].s3 * b[3].s2 + a[3].s3 * b[3].s3;
-}
-
-
-// return the inverse of a quaternion
-//  q -- a quaternion
-float4 quat_inv(float4 q) {
-  float l2 = dot(q, q);
-  if (l2==0.f)
-    return(q);
-  float4 inv = {-q.x/l2, -q.y/l2, -q.z/l2, q.w/l2};
-  return inv;
-}
-
-
-// multiply two quaternions
-//  a -- a quaternion
-//  b -- a quaternion
-float4 quat_prod(float4 a, float4 b) {
-  float4 res;
-  res.x =  a.x*b.w + a.y*b.z - a.z*b.y + a.w*b.x;
-  res.y = -a.x*b.z + a.y*b.w + a.z*b.x + a.w*b.y;
-  res.z =  a.x*b.y - a.y*b.x + a.z*b.w + a.w*b.z;
-  res.w = -a.x*b.x - a.y*b.y - a.z*b.z + a.w*b.w;
-  return res;
-}
-
-
-// rotate a vector using a quaternion
-//  q -- quaternion
-//  v -- vector, w ('real') component is ignored
-float4 quat_rot(float4 q, float4 v) {
-  v.w = 0.f;
-  float4 qi = quat_inv(q);
-  float4 v_prime = quat_prod(q, quat_prod(v, qi));
-  v_prime.w = 0.f;
-  return v_prime;
-}
-
-
-// rotate a vector
-//  axis -- axis about which to rotate
-//  angle -- amount to rotate (radians)
-//  v -- the vector to rotate
-float4 rot(float4 axis, float angle, float4 v) {
-  float4 q = axis*sin(angle/2.f);
-  q.w = cos(angle/2.f);
-  return quat_rot(q, v);
-}
-
-
-void print_matrix(float4* m) {
-  /*
-  printf("\
- % 3.3f  % 3.3f  % 3.3f (% 3.3f)\n\
- % 3.3f  % 3.3f  % 3.3f (% 3.3f)\n\
- % 3.3f  % 3.3f  % 3.3f (% 3.3f)\n\
-(% 3.3f)(% 3.3f)(% 3.3f)(% 3.3f)\n\n",
-         m[0].x, m[1].x, m[2].x, m[3].x,
-         m[0].y, m[1].y, m[2].y, m[3].y,
-         m[0].z, m[1].z, m[2].z, m[3].z,
-         m[0].w, m[1].w, m[2].w, m[3].w);
-  */
-}
-
-void cyl_inertia_tensor(float muA, float l, float4 axis, float4 res[]) {
-  // first find the inv inertia tensor for a capsule along the x axis
-  float diag = (muA*l*l*l) / 12.f;
-
-  // now find the matrix that transforms from the x-axis to the axis
-  float4 x_axis = {1.f, 0.f, 0.f, 0.f};
-  float4 y_axis = {0.f, 1.f, 0.f, 0.f};
-  float4 z_axis = {0.f, 0.f, 1.f, 0.f};
-  float rot_ang = acos(dot(x_axis, axis));
-
-  float4 empty = {0.f, 0.f, 0.f, 0.f};
-
-  float4 y_prime = y_axis;
-  float4 z_prime = z_axis;
-
-  if (rot_ang > EPSILON) {
-    y_prime = rot(z_prime, rot_ang, y_axis);
-    z_prime = normalize(cross(x_axis, axis));
-  }
-
-  float4 M[4];
-  M[0] = axis;
-  M[1] = y_prime;
-  M[2] = z_prime;
-  M[3] = empty;
-
-  float4 MT[4];
-  transpose(M, MT);
-
-  float4 I[4];
-  I[0] = empty;
-  I[1] = empty;
-  I[2] = empty;
-  I[3] = empty;
-  I[0].s0 = 0.f;
-  I[1].s1 = diag;
-  I[2].s2 = diag;
-  I[3].s3 = 0.f;
-
-  // M^T(I)M
-  float4 IM[4];
-  matmulmat(I, M, IM);
-  matmulmat(MT, IM, res);
-}
-
-void cyl_inv_inertia_tensor(float muA, float l, float4 axis, float4 res[]) {
-  // first find the inv inertia tensor for a capsule along the x axis
-  float diag = 12.f/(muA*l*l*l);
-
-  // now find the matrix that transforms from the x-axis to the axis
-  float4 x_axis = {1.f, 0.f, 0.f, 0.f};
-  float4 y_axis = {0.f, 1.f, 0.f, 0.f};
-  float4 z_axis = {0.f, 0.f, 1.f, 0.f};
-  float rot_ang = acos(dot(x_axis, axis));
-
-  float4 y_prime = y_axis;
-  float4 z_prime = z_axis;
-
-  if (rot_ang > EPSILON) {
-    y_prime = rot(z_prime, rot_ang, y_axis);
-    z_prime = normalize(cross(x_axis, axis));
-  }
-
-  float4 M[4];
-  M[0] = axis;
-  M[1] = y_prime;
-  M[2] = z_prime;
-  M[3] = 0.f;
-
-  float4 MD[4];
-  MD[0] = 0.f;
-  MD[1] = M[1]*diag;
-  MD[2] = M[2]*diag;
-  MD[3] = 0.f;
-
-  float4 MDT[4];
-  transpose(MD, MDT);
-
-  // I in the world is = M(I_D)M^T
-  matmulmat(M, MDT, res);
-}
-
-
-
-// Set the sq of each cell based on its position.
-__kernel void bin_cells(const int grid_x_min,
-                        const int grid_x_max,
-                        const int grid_y_min,
-                        const int grid_y_max,
-                        const float grid_spacing,
-                        __global const float4* centers,
-                        __global int* sqs)
-{
-  int i = get_global_id(0);
-  int x = (int)floor(centers[i].x / grid_spacing) - grid_x_min;
-  int y = (int)floor(centers[i].y / grid_spacing) - grid_y_min;
-  sqs[i] = y*(grid_x_max-grid_x_min) + x;
-}
-
-
-// find the closest points on two line segments
-void closest_points_on_segments(const float4 r_a,  // center of first segment
-                                const float4 r_b,  // center of second segment
-                                const float4 a,    // direction of first segment (unit)
-                                const float4 b,    // direction of second segment (unit)
-                                const float len_a, // length of first segment
-                                const float len_b, // length of second segment
-                                float4* p_a,       // (return) point on first segment
-                                float4* p_b,       // (return) point on second segment
-                                float4* p_a2,      // (return) 2nd point on first segment
-                                float4* p_b2,      // (return) 2nd point on second segment
-                                int* two_pts)      // (return) were two points picked?
-{
-  float hlen_a = len_a / 2.f;
-  float hlen_b = len_b / 2.f;
-  float4 r = r_b - r_a;
-  float a_dot_r = dot(a, r);
-  float b_dot_r = dot(b, r);
-  float a_dot_b = dot(a, b);
-  float denom = 1.f - a_dot_b * a_dot_b;
-
-  float t_a = 0.f;
-  float t_b = 0.f;
-
-  *two_pts = 0;
-  float t_a2 = 0.f;
-  float t_b2 = 0.f;
-
-  if (sqrt(denom) > EPSILON) {
-    // non-parallel lines
-
-    // closest points on the same lines if they were infinitely long
-    float t_a0 = (a_dot_r - b_dot_r * a_dot_b) / denom;
-    float t_b0 = (a_dot_r * a_dot_b - b_dot_r) / denom;
-
-    // there are a few different cases we have to handle...
-    bool on_a = fabs(t_a0) < hlen_a;
-    bool on_b = fabs(t_b0) < hlen_b;
-    if (!on_a && !on_b) {
-      // the corner
-      float c_a = copysign(hlen_a, t_a0);
-      float c_b = copysign(hlen_b, t_b0);
-
-      // signs of partials at the corner
-      float dd_dt_a = 2.f*(c_a - a_dot_b*c_b - a_dot_r);
-      float dd_dt_b = 2.f*(c_b - a_dot_b*c_a + b_dot_r);
-
-      if (sign(dd_dt_a) == sign(c_a)) {
-        // on the other edge
-        t_b = c_b;
-        t_a = clamp(t_b*a_dot_b + a_dot_r, -hlen_a, hlen_a);
-      } else {
-        t_a = c_a;
-        t_b = clamp(t_a*a_dot_b - b_dot_r, -hlen_b, hlen_b);
-      }
-    } else if (on_a && !on_b) {
-      t_b = copysign(hlen_b, t_b0);  // +/- end of b?
-      t_a = clamp(t_b*a_dot_b + a_dot_r, -hlen_a, hlen_a);
-    } else if (!on_a && on_b) {
-      t_a = copysign(hlen_a, t_a0);  // +/- end of a?
-      t_b = clamp(t_a*a_dot_b - b_dot_r, -hlen_b, hlen_b);
-    } else {
-      t_a = t_a0;
-      t_b = t_b0;
-    }
-  } else {
-    // lines are roughly parallel, this case is degenerate
-    // start off assuming the lines are in the same direction
-    // project a onto b
-
-    // use the same _dot_r for each for consistency
-    float x_dot_r = copysign(min(a_dot_r, b_dot_r), a_dot_r);
-
-    // project the ends of a into b coordinates
-    float a_l = -x_dot_r - hlen_a;
-    float a_r = -x_dot_r + hlen_a;
-
-    // find the intersection of the two on b
-    float i_l = max(a_l, -hlen_b);
-    float i_r = min(a_r, hlen_b);
-
-    if (i_l > i_r) {
-      // they don't intersect
-      if (a_l < -hlen_b) {
-        t_a = hlen_a;
-        t_b = -hlen_b;
-      } else {
-        t_a = -hlen_a;
-        t_b = hlen_b;
-      }
-    } else {
-      // the segments intersect, pick two points
-      *two_pts = 1;
-      t_b = i_l;
-      t_a = t_b + x_dot_r;
-      t_b2 = i_r;
-      t_a2 = t_b2 + x_dot_r;
-    }
-
-    // if they weren't in the same direction, negate
-    if (a_dot_b < 0.f) {
-      t_b = -t_b;
-      t_b2 = -t_b2;
-    }
-  }
-  *p_a = r_a + t_a*a;
-  *p_b = r_b + t_b*b;
-  if (two_pts) {
-    *p_a2 = r_a + t_a2*a;
-    *p_b2 = r_b + t_b2*b;
-  }
-}
-
-
-// intest distance from a point p to a plane passing through point v
-// with unit normal n
-float pt_to_plane_dist(float4 v, float4 n, float4 p)
-{
-  return dot((p-v), n);
-}
-
-// intest distance from a point p to a sphere at point v
-// with radius r
-float pt_to_sphere_dist(float4 v, float rad, float4 p)
-{
-  return length(p - v) - rad;
-}
-
-__kernel void find_sphere_contacts(const int max_cells,
-                                  const int max_contacts,
-                                  const int n_spheres,
-                                  __global const float4* sphere_pts,
-                                  __global const float* sphere_coeffs,
-                                  __global const float* sphere_rads,
-                                  __global const float* sphere_norms,
-                                  __global const float4* centers,
-                                  __global const float4* dirs,
-                                  __global const float* lens,
-                                  __global const float* rads,
-                                  __global int* n_cts,
-                                  __global int* frs,
-                                  __global int* tos,
-                                  __global float* dists,
-                                  __global float4* pts,
-                                  __global float4* norms,
-                                  __global float* reldists,
-                                  __global float* stiff)
-{
-  int i = get_global_id(0);
-
-  // collision count
-  int k = n_cts[i]; //keep existing contacts
-
-  float4 end1 = centers[i] - 0.5f*lens[i]*dirs[i]; // 'left' end of the cell
-  float4 end2 = centers[i] + 0.5f*lens[i]*dirs[i]; // 'right' end of the cell
-
-  for (int n = 0; n < n_spheres; n++) { // loop through all spheres
-    int to1 = -2*n - 1; // 'to' if left end has contact with sphere n
-    int to2 = to1 - 1;  // 'to' if right end has contact with sphere n
-
-    float dist1 = sphere_norms[n] * pt_to_sphere_dist(sphere_pts[n], sphere_rads[n], end1)-rads[i];
-    float dist2 = sphere_norms[n] * pt_to_sphere_dist(sphere_pts[n], sphere_rads[n], end2)-rads[i];
-
-    // check for old contacts with this sphere
-    int cti1 = -1;
-    int cti2 = -1;
-    for (int m = i*max_contacts; m < i*max_contacts+n_cts[i]; m++) {
-      if (tos[m] == to1) cti1 = m;
-      else if (tos[m] == to2) cti2 = m;
-    }
-
-    bool two_pts = ((cti1 >= 0) || (dist1<0.f) ) && ( (cti2 >= 0) || (dist2<0.f) );
-    float stiffness = two_pts*ISQRT2 + (!two_pts)*1.0;
-
-    // if we're in contact, or we were in contact, recompute
-    if ((cti1 >= 0) || (dist1<0.f) ){
-      // need to make a new contact
-      if (cti1 < 0) {
-        cti1 = i*max_contacts+k;
-        k++;
-      }
-
-      frs[cti1] = i;
-      tos[cti1] = to1;
-      dists[cti1] = dist1;
-      pts[cti1] = end1; // FIXME: not really the right point
-      norms[cti1] = sphere_norms[n] *  normalize(-end1 + sphere_pts[n]);
-      reldists[cti1] = stiffness*sphere_coeffs[n]*dist1;
-      stiff[cti1] = stiffness*sphere_coeffs[n];
-    }
-
-    if ( (cti2 >= 0) || (dist2<0.f) ){
-      if (cti2 < 0) {
-        cti2 = i*max_contacts+k;
-        k++;
-      }
-
-      frs[cti2] = i;
-      tos[cti2] = to2;
-      dists[cti2] = dist2;
-      pts[cti2] = end2;
-      norms[cti2] = sphere_norms[n] * normalize(-end2 + sphere_pts[n]);
-      reldists[cti2] = stiffness*sphere_coeffs[n]*dist2;
-      stiff[cti2] = stiffness*sphere_coeffs[n];
-    }
-  }
-  n_cts[i] = k;
-}
-
-
-__kernel void find_plane_contacts(const int max_cells,
-                                  const int max_contacts,
-                                  const int n_planes,
-                                  __global const float4* plane_pts,
-                                  __global const float4* plane_norms,
-                                  __global const float* plane_coeffs,
-                                  __global const float4* centers,
-                                  __global const float4* dirs,
-                                  __global const float* lens,
-                                  __global const float* rads,
-                                  __global int* n_cts,
-                                  __global int* frs,
-                                  __global int* tos,
-                                  __global float* dists,
-                                  __global float4* pts,
-                                  __global float4* norms,
-                                  __global float* reldists,
-                                  __global float* stiff)
-{
-  int i = get_global_id(0);
-
-  // collision count
-  int k = n_cts[i]; //keep existing contacts
-
-  float4 end1 = centers[i] - 0.5f*lens[i]*dirs[i]; // 'left' end of the cell
-  float4 end2 = centers[i] + 0.5f*lens[i]*dirs[i]; // 'right' end of the cell
-
-  for (int n = 0; n < n_planes; n++) { // loop through all planes
-    int to1 = -2*n - 1; // 'to' if left end has contact with plane n
-    int to2 = to1 - 1;  // 'to' if right end has contact with plane n
-
-    float dist1 = pt_to_plane_dist(plane_pts[n], plane_norms[n], end1)-rads[i];
-    float dist2 = pt_to_plane_dist(plane_pts[n], plane_norms[n], end2)-rads[i];
-
-    // check for old contacts with this plane
-    int cti1 = -1;
-    int cti2 = -1;
-    for (int m = i*max_contacts; m < i*max_contacts+n_cts[i]; m++) {
-      if (tos[m] == to1) cti1 = m;
-      else if (tos[m] == to2) cti2 = m;
-    }
-
-    // common to both ends
-    float4 norm = -plane_norms[n];
-
-    bool two_pts = ((cti1 >= 0) || (dist1<0.f) ) && ( (cti2 >= 0) || (dist2<0.f) );
-    float stiffness = two_pts*ISQRT2 + (!two_pts)*1.0;
-
-    // if we're in contact, or we were in contact, recompute
-    if ((cti1 >= 0) || (dist1<0.f) ){
-      // need to make a new contact
-      if (cti1 < 0) {
-        cti1 = i*max_contacts+k;
-        k++;
-      }
-
-      frs[cti1] = i;
-      tos[cti1] = to1;
-      dists[cti1] = dist1;
-      pts[cti1] = end1; // FIXME: not really the right point
-      norms[cti1] = norm;
-      reldists[cti1] = stiffness*plane_coeffs[n]*dist1;
-      stiff[cti1] = stiffness*plane_coeffs[n];
-    }
-
-    if ( (cti2 >= 0) || (dist2<0.f) ){
-      if (cti2 < 0) {
-        cti2 = i*max_contacts+k;
-        k++;
-      }
-
-      frs[cti2] = i;
-      tos[cti2] = to2;
-      dists[cti2] = dist2;
-      pts[cti2] = end2;
-      norms[cti2] = norm;
-      reldists[cti2] = stiffness*plane_coeffs[n]*dist2;
-      stiff[cti2] = stiffness*plane_coeffs[n];
-    }
-  }
-  n_cts[i] = k;
-}
-
-
-//
-__kernel void find_contacts(const int max_cells,
-                            const int n_cells,
-                            const int grid_x_min,
-                            const int grid_x_max,
-                            const int grid_y_min,
-                            const int grid_y_max,
-                            const int n_sqs,
-                            const int max_contacts,
-                            __global const float4* centers,
-                            __global const float4* dirs,
-                            __global const float* lens,
-                            __global const float* rads,
-                            __global const int* sqs,
-                            __global const int* sorted_ids,
-                            __global const int* sq_inds,
-                            __global int* n_cts,
-                            __global int* frs,
-                            __global int* tos,
-                            __global float* dists,
-                            __global float4* pts,
-                            __global float4* norms,
-                            __global float* reldists,
-                            __global float* stiff,
-                            __global float* overlap)
-{
-  // our id
-  int i = get_global_id(0);
-
-  // collision count
-  int k = n_cts[i]; //keep existing contacts
-
-  // what square are we in?
-  int grid_x_range = grid_x_max-grid_x_min;
-  int grid_y_range = grid_y_max-grid_y_min;
-  int sq_row = sqs[i] / grid_x_range; // square row
-  int sq_col = sqs[i] % grid_x_range; // square col
-
-  // loop through our square and the eight squares surrounding it
-  // (fewer squares if we're on an edge)
-  for (int row = max(0, sq_row-1); row < min((int)(sq_row+2), grid_y_range); row++) {
-    for (int col = max(0, sq_col-1); col < min((int)(sq_col+2), grid_x_range); col++) {
-
-      // what square is this?
-      int sq = row*grid_x_range + col;
-
-      // loop through all the cell ids in the current square (but
-      // don't go past the end of the list)
-      for (int n = sq_inds[sq]; n < (sq < n_sqs-1 ? sq_inds[sq+1] : n_cells); n++) {
-
-        int j = sorted_ids[n]; // the neighboring cell
-
-        if (j<=i) continue; // we can't collide with ourself, only find low -> hi contacts
-
-        // Look for any existing contacts, count them, and store idx's
-        int n_existing_cts=0;
-        int existing_cts_idx[2];
-        for (int m=i*max_contacts; m<i*max_contacts+n_cts[i]; m++)
-        {
-          if (tos[m]==j)
-          {
-             existing_cts_idx[n_existing_cts++] = m;
-          }
-        }
-
-        // Are we within possible touching distance, or is there an existing contact to update?
-        if (length(centers[i]-centers[j]) > 0.5*(lens[i]+lens[j])+rads[i]+rads[j]+MARGIN && n_existing_cts==0)
-        {
-          // if not...
-          continue;
-        }
-
-        // if so, find closest points
-        float4 pi, pj; // pi is point on our line seg, pj point on other
-        float4 pi2, pj2; // optional second points
-        int two_pts = 0; // are there two contacts?
-        closest_points_on_segments(centers[i], centers[j],
-                                   dirs[i], dirs[j],
-                                   lens[i], lens[j],
-                                   &pi, &pj, &pi2, &pj2, &two_pts);
-
-        float4 v_ij = pj-pi; // vector between closest points
-        float dist = length(v_ij) - (rads[i]+rads[j]);
-        float4 norm = normalize(v_ij); // normal on our cell at the contact
-        float4 pt = pi + rads[i]*norm; // point on the capsule surface
-          
-        int ct_i;
-        ct_i = i*max_contacts+k; // index of this contact
-
-        float stiffness = two_pts*ISQRT2 + (!two_pts)*1.0;
-        
-        float overlap_length = two_pts*fabs(dot(pi-pi2,dirs[i]))/(2*POINT) + (!two_pts)*1.0;
-          
-        if (dist < MARGIN)
-        {
-            if (n_existing_cts==0)
-            {
-              // make new contact and compute distance etc.
-              k++; // next contact
-              frs[ct_i] = i;
-              tos[ct_i] = j;
-              dists[ct_i] = dist;
-              pts[ct_i] = pt;
-              norms[ct_i] = norm;
-              reldists[ct_i] = stiffness*RHS_FRAC*dist;
-              stiff[ct_i] = stiffness;
-              overlap[ct_i] = overlap_length;
-            }
-	}
-        if(n_existing_cts>0){
-          // recompute dist etc. for existing contact
-          int idx = existing_cts_idx[0];
-          dists[idx] = dist;
-          pts[idx] = pt;
-          norms[idx] = norm;
-          reldists[idx] = stiffness*RHS_FRAC*dist;
-          stiff[idx] = stiffness;
-          overlap[idx]=overlap_length;
-        }
-
-
-        if (!two_pts){
-	  if(n_existing_cts>1){
-	    // Not parallel, but were before - how to deal with this?
-	    // Set stiffness and rhs (reldists) to zero so that this row has no effect
-	    int idx = existing_cts_idx[1];
-	    /*dists[idx] = 0.0;
-	    pts[idx] = pt;
-	    norms[idx] = norm;*/
-	    reldists[idx] = 0.0;
-            stiff[idx] = 0.0;
-          overlap[idx]=overlap_length;
-	  }
-	  continue;
-	}
-
-        // if we had two contacts, add the second point
-        v_ij = pj2-pi2;
-        dist = length(v_ij) - (rads[i]+rads[j]);
-        norm = normalize(v_ij);
-        pt = pi2 + rads[i]*norm;
-          
-	// Are cells moving together or penetrating?
-	if (dist < MARGIN)
-	{
-            if (n_existing_cts<2)
-            {
-              ct_i = i*max_contacts+k;
-              k++;
-              frs[ct_i] = i;
-              tos[ct_i] = j;
-              dists[ct_i] = dist;
-              pts[ct_i] = pt;
-              norms[ct_i] = norm;
-              reldists[ct_i] = stiffness*RHS_FRAC*dist;
-              stiff[ct_i] = stiffness;
-              overlap[ct_i]=overlap_length;
-            }
-	}
-        if(n_existing_cts>1){
-          // recompute dist etc. for existing contact
-          int idx = existing_cts_idx[1];
-          dists[idx] = dist;
-          pts[idx] = pt;
-          norms[idx] = norm;
-          reldists[idx] = stiffness*RHS_FRAC*dist;
-          stiff[idx] = stiffness;
-          overlap[idx]=overlap_length;
-        }
-
-      }
-    }
-  }
-  n_cts[i] = k;
-
-  // zero out unused contacts
-  // this IS necessary for calculate_Mx to work
-  for (int u = k; u < max_contacts; u++) {
-    frs[i*max_contacts+u] = 0;
-    tos[i*max_contacts+u] = 0;
-  }
-}
-
-
-
-__kernel void collect_tos(const int max_cells,
-                          const int n_cells,
-                          const int grid_x_min,
-                          const int grid_x_max,
-                          const int grid_y_min,
-                          const int grid_y_max,
-                          const int n_sqs,
-                          const int max_contacts,
-                          __global const int* sqs,
-                          __global const int* sorted_ids,
-                          __global const int* sq_inds,
-                          __global const int* n_cts,
-                          __global const int* frs,
-                          __global const int* tos,
-                          __global int* cell_tos,
-                          __global int* n_cell_tos)
-{
-  // our id
-  int i = get_global_id(0);
-
-  // what square are we in?
-  int grid_x_range = grid_x_max-grid_x_min;
-  int grid_y_range = grid_y_max-grid_y_min;
-  int sq_row = sqs[i] / grid_x_range; // square row
-  int sq_col = sqs[i] % grid_x_range; // square col
-
-  int k = 0; // how many cts are we the 'to' of?
-
-  // loop through our square and the eight squares surrounding it
-  // (fewer squares if we're on an edge)
-  for (int row = max(0, sq_row-1); row < min((int)(sq_row+2), grid_y_range); row++) {
-    for (int col = max(0, sq_col-1); col < min((int)(sq_col+2), grid_x_range); col++) {
-
-      // what square is this?
-      int sq = row*grid_x_range + col;
-
-      // loop through all the cell ids in the current square (but
-      // don't go past the end of the list)
-      for (int n = sq_inds[sq]; n < (sq < n_sqs-1 ? sq_inds[sq+1] : n_cells); n++) {
-
-        int j = sorted_ids[n]; // the neighboring cell
-
-        if (j>=i || j<0) continue; // only looking at cells with lower ids
-
-        // look through all the other cell's contacts
-        for (int m = 0; m < n_cts[j]; m++) {
-          int ct_i = (int)(j)*(int)(max_contacts)+m;
-          if (tos[ct_i] == i) {
-            // if one of them is us, collect it
-            cell_tos[i*max_contacts+k] = ct_i;
-            k++;
-          }
-        }
-      }
-    }
-  }
-  n_cell_tos[i] = k;
-
-  // zero out unused tos
-  // this probably isn't necessary
-  for (int u = k; u < max_contacts; u++) {
-    cell_tos[i*max_contacts+u] = 0;
-  }
-
-}
-
-
-__kernel void build_matrix(const int max_contacts,
-                           __global const float4* centers,
-                           __global const float4* dirs,
-                           __global const float* lens,
-                           __global const float* rads,
-                           __global const int* n_cts,
-                           __global const int* frs,
-                           __global const int* tos,
-                           __global const float4* pts,
-                           __global const float4* norms,
-                           __global float8* fr_ents,
-                           __global float8* to_ents,
-                           __global float* stiff)
-{
-  int id = get_global_id(0);
-  int ct = get_global_id(1);
-
-  if (ct >= n_cts[id]) return;
-
-  int i = id*max_contacts + ct;
-
-  int a = frs[i];
-  float4 r_a = pts[i]-centers[a];
-  float8 fr_ent = 0.f;
-
-  float4 nxr_a = 0.f;
-  nxr_a = cross(norms[i], r_a);
-
-  fr_ent.s012 = norms[i].s012;
-  fr_ent.s345 = -nxr_a.s012; 
-  //fr_ent.s3 = -dot(nxr_a, Ia[0]);
-  //fr_ent.s4 = -dot(nxr_a, Ia[1]);
-  //fr_ent.s5 = -dot(nxr_a, Ia[2]);
-  fr_ent.s6 = dot(dirs[a], r_a) * dot(dirs[a], norms[i])/(lens[a]+2.f*rads[a]);
-  fr_ents[i] = fr_ent * stiff[i];
-
-  int b = tos[i];
-
-  // plane and sphere contacts have no to_ent, and have negative indices
-  if (b < 0) {
-    to_ents[i] = 0.f;
-    return;
-  }
-
-  float4 r_b = pts[i]-centers[b];
-  float8 to_ent = 0.f;
-
-  float4 nxr_b = 0.f;
-  nxr_b = cross(norms[i], r_b);
-
-  to_ent.s012 = norms[i].s012;
-  to_ent.s345 = -nxr_b.s012; 
-  //to_ent.s3 = -dot(nxr_b, Ib[0]);
-  //to_ent.s4 = -dot(nxr_b, Ib[1]);
-  //to_ent.s5 = -dot(nxr_b, Ib[2]);
-  to_ent.s6 = dot(dirs[b], r_b) * dot(dirs[b], norms[i])/(lens[b]+2.f*rads[b]);
-  to_ents[i] = to_ent * stiff[i];
-}
-
-__kernel void calculate_Bx(const int max_contacts,
-                           __global const int* frs,
-                           __global const int* tos,
-                           __global const float8* fr_ents,
-                           __global const float8* to_ents,
-                           __global const float8* deltap,
-                           __global float* Bx)
-{
-  int id = get_global_id(0);
-  int ct = get_global_id(1);
-  int i = id*max_contacts + ct;
-  int a = frs[i];
-  int b = tos[i];
-  if (a == 0 && b == 0) return; // not a contact
-  float8 to_ents_i = b < 0 ? 0.f : to_ents[i];
-  //my machine can't dot float8s...
-  float res0123 = dot(fr_ents[i].s0123, deltap[a].s0123) - dot(to_ents_i.s0123, deltap[b].s0123);
-  float res4567 = dot(fr_ents[i].s4567, deltap[a].s4567) - dot(to_ents_i.s4567, deltap[b].s4567);
-  Bx[i] = res0123 + res4567;
-}
-
-
-__kernel void calculate_BTBx(const int max_contacts,
-                             __global const int* n_cts,
-                             __global const int* n_cell_tos,
-                             __global const int* cell_tos,
-                             __global const float8* fr_ents,
-                             __global const float8* to_ents,
-                             __global const float* Bx,
-                             __global float8* BTBx)
-{
-  int i = get_global_id(0);
-  int base = i*max_contacts;
-  float8 res = 0.f;
-  for (int k = base; k < base+n_cts[i]; k++) {
-    float8 oldres = res;
-    res += fr_ents[k]*Bx[k];
-  }
-  for (int k = base; k < base+n_cell_tos[i]; k++) {
-    int n = cell_tos[k];
-    if (n < 0) continue;
-    res -= to_ents[n]*Bx[n];
-  }
-  BTBx[i] = res;
-}
-
-__kernel void calculate_Mx(const float muA,
-			       const float gamma,
-			       __global const float4* dirs,
-			       __global const float* lens,
-			       __global const float* rads,
-			       __global const float8* x,
-			       __global float8* Mx)
-{
-  int i = get_global_id(0);
-  float l = lens[i] + 2.f * rads[i];
-
-  float8 xi = x[i];
-  float8 v = 0.f;
-  v.s012 = xi.s012 * muA * l;
-
-  float4 I[4];
-  cyl_inertia_tensor(muA, l, dirs[i], I);
-  float4 L = 0.f;
-  L.s012 = xi.s345;
-  float4 w = matmul(I, L);
-  v.s345 = w.s012;
-
-  //float4 w = 0.f;
-  //w.s012 = xi.s345;
-  //float4 a = dirs[i];
-  //float4 vv = (w - a*dot(a,w)) * muA * l*l*l / 12.f;
-  //v.s345 = vv.s012;
-  
-  v.s6 = xi.s6 * gamma;
-
-  Mx[i] = v;
-}
-
-
-__kernel void calculate_Minv_x(const float muA,
-			       const float gamma,
-			       __global const float4* dirs,
-			       __global const float* lens,
-			       __global const float* rads,
-			       __global const float8* x,
-			       __global float8* Minvx)
-{
-  int i = get_global_id(0);
-
-  float8 xi = x[i];
-  float8 v = 0.f;
-  v.s012 = xi.s012/(muA*(lens[i]+2.f*rads[i]));
-
-  float4 Iinv[4];
-  cyl_inv_inertia_tensor(muA, lens[i]+2.f*rads[i], dirs[i], Iinv);
-  float4 L = 0.f;
-  L.s012 = xi.s345;
-  float4 w = matmul(Iinv, L);
-  v.s345 = w.s012;
-
-  v.s6 = xi.s6/gamma;
-
-  Minvx[i] = v;
-}
-
-
-__kernel void predict(__global const float4* centers,
-                        __global const float4* dirs,
-                        __global const float* lens,
-                        __global const float4* dcenters,
-                        __global const float4* dangs,
-                        __global const float* dlens,
-                        __global float4* pred_centers,
-                        __global float4* pred_dirs,
-                        __global float* pred_lens)
-{
-  int i = get_global_id(0);
-  float4 center_i = centers[i];
-  float4 dir_i = dirs[i];
-  float len_i = lens[i];
-  float4 dcenter_i = dcenters[i];
-  float4 dang_i = dangs[i];
-  float dlen_i = dlens[i];
-
-  pred_centers[i] = center_i + dcenter_i;
-
-  if (length(dang_i)>1e-12)
-  {
-    float4 rot_axis = normalize(dang_i);
-    float rot_angle = length(dang_i);
-    pred_dirs[i] = normalize(rot(rot_axis, rot_angle, dir_i));
-  } else {
-    pred_dirs[i] = dir_i;
-  }
-
-  pred_lens[i] = len_i + dlen_i;
-
-}
-
-__kernel void integrate(__global float4* centers,
-                        __global float4* dirs,
-                        __global float* lens,
-                        __global float4* dcenters,
-                        __global float4* dangs,
-                        __global float* dlens)
-{
-  int i = get_global_id(0);
-  float4 center_i = centers[i];
-  float4 dir_i = dirs[i];
-  float len_i = lens[i];
-  float4 dcenter_i = dcenters[i];
-  float4 dang_i = dangs[i];
-  float dlen_i = dlens[i];
-
-  centers[i] = center_i + dcenter_i;
-
-  if (length(dang_i)>1e-12)
-  {
-    float4 rot_axis = normalize(dang_i);
-    float rot_angle = length(dang_i);
-    dirs[i] = normalize(rot(rot_axis, rot_angle, dir_i));
-  }
-
-  lens[i] = len_i + dlen_i;
-
-  // fully damped
-  dcenters[i] = 0.f;
-  dangs[i] = 0.f;
-  dlens[i] = 0.f;
-}
-
-__kernel void add_impulse(const float muA,
-                          const float gamma,
-                          __global const float8* deltap,
-                          __global const float4* dirs,
-                          __global const float* lens,
-                          __global const float* rads,
-                          __global float4* dcenters,
-                          __global float4* dangs,
-                          __global const float* target_dlens,
-                          __global float* dlens)
-{
-  int i = get_global_id(0);
-
-  float4 dir_i = dirs[i];
-  float len_i = lens[i];
-  float rad_i = rads[i];
-  float8 deltap_i = deltap[i];
-
-  float4 dplin = 0.f;
-  dplin.s012 = deltap_i.s012;
-  dcenters[i] += dplin;
-
-  // FIXME: should probably store these so we don't recompute them
-  //float4 Iinv[4];
-  //cyl_inv_inertia_tensor(muA, len_i+2.f*rad_i, dir_i, Iinv);
-  //float4 dL = 0.f;
-  //dL.s012 = deltap_i.s345;
-  //float4 dpang = matmul(Iinv, dL);
-
-  float4 dpang = 0.f;
-  dpang.s012 = deltap_i.s345;
-  float dpangmag = length(dpang);
-  if (dpangmag>ANG_LIMIT)
-  {
-    dpang *= ANG_LIMIT/dpangmag;
-  }
-  dangs[i] += dpang;
-  
-  float dplen = deltap_i.s6;
-  //dlens[i] += max(0.f, target_dlens[i] + dplen);
-  dlens[i] = max(0.f, dlens[i]+dplen);
-}
-
-
diff --git a/CellModeller/Biophysics/BacterialModels/CLBacterium.py b/CellModeller/Biophysics/BacterialModels/CLBacterium.py
deleted file mode 100644
index 85d8180d..00000000
--- a/CellModeller/Biophysics/BacterialModels/CLBacterium.py
+++ /dev/null
@@ -1,1254 +0,0 @@
-import sys
-import math
-import numpy
-import pyopencl as cl
-import pyopencl.array as cl_array
-from pyopencl.array import vec
-from pyopencl.array import max as device_max
-from pyopencl.elementwise import ElementwiseKernel
-from pyopencl.reduction import ReductionKernel
-import random
-import time
-
-
-ct_map = {}
-
-class CLBacterium:
-    """A rigid body model of bacterial growth implemented using
-    OpenCL.
-    """
-
-    def __init__(self, simulator,
-                 max_substeps=8,
-                 max_cells=10000,
-                 max_contacts=24,
-                 max_planes=1,
-                 max_spheres=1,
-                 max_sqs=192**2,
-                 grid_spacing=5.0,
-                 muA=1.0,
-                 gamma=10.0,
-                 dt=None,
-                 cgs_tol=5e-3,
-                 jitter_z=True,
-                 alternate_divisions=False,
-                 printing=True,
-                 compNeighbours=False):
-
-        # Should we compute neighbours? (bit slow)
-        self.computeNeighbours = compNeighbours
-
-        self.frame_no = 0
-        self.simulator = simulator
-        self.regulator = None
-        
-        self.time_begin = time.time()
-        self.seconds_elapsed = 0
-        self.minutes_elapsed = 0
-        self.hours_elapsed = 0
-
-        self.max_cells = max_cells
-        self.max_contacts = max_contacts
-        self.max_planes = max_planes
-        self.max_spheres = max_spheres
-        self.max_sqs = max_sqs
-        self.grid_spacing = grid_spacing
-        self.muA = muA
-        self.gamma = gamma
-        self.dt = dt
-        self.cgs_tol = cgs_tol
-
-        self.max_substeps = max_substeps
-
-        self.n_cells = 0
-        self.n_cts = 0
-        self.n_planes = 0
-        self.n_spheres = 0
-
-        self.next_id = 0
-
-        self.grid_x_min = 0
-        self.grid_x_max = 0
-        self.grid_y_min = 0
-        self.grid_y_max = 0
-        self.n_sqs = 0
-
-        self.init_cl()
-        #self.init_kernels()
-        self.init_data()
-
-        self.parents = {}
-
-        self.jitter_z = jitter_z
-        self.alternate_divisions = alternate_divisions
-        self.printing = printing
-        self.progress_initialised = False
-        self.sub_tick_initialised = False
-
-    # Biophysical Model interface
-    def reset(self):
-        self.n_cells=0
-        self.n_cts=0
-        self.n_planes=0
-        self.n_spheres=0
-
-    def setRegulator(self, regulator):
-        self.regulator = regulator
-        self.init_kernels()
-
-
-    def addCell(self, cellState, pos=(0,0,0), dir=(1,0,0), rad=0.5, **kwargs):
-        i = cellState.idx
-        self.n_cells += 1
-        cid = cellState.id
-        self.cell_centers[i] = tuple(pos+(0,))
-        self.cell_dirs[i] = tuple(dir+(0,))
-        self.cell_lens[i] = cellState.length
-        self.cell_rads[i] = rad
-        self.initCellState(cellState)
-        self.set_cells()
-        self.calc_cell_geom() # cell needs a volume
-
-    #---
-    # Some functions to modify existing cells (e.g. from GUI)
-    # Eventually prob better to have a generic editCell() that deals with this stuff
-    #
-    def moveCell(self, cellState, delta_pos):
-        print("cell idx = %d"%cellState.idx)
-        i = cellState.idx
-        cid = cellState.id
-        print("cell center = ")
-        print(self.cell_centers[i])
-        print("delta_pos")
-        print(delta_pos)
-        pos = numpy.array(tuple(self.cell_centers[i]))
-        pos[0:3] += numpy.array(tuple(delta_pos))
-        self.cell_centers[i] = pos
-        self.simulator.cellStates[cid].pos = [self.cell_centers[i][j] for j in range(3)]
-        self.set_cells()
-        self.updateCellState(cellState)
-
-    def addPlane(self, pt, norm, coeff):
-        pidx = self.n_planes
-        self.n_planes += 1
-        self.plane_pts[pidx] = tuple(pt)+(0,)
-        self.plane_norms[pidx] = tuple(norm) + (0,)
-        self.plane_coeffs[pidx] = coeff
-        self.set_planes()
-
-    def addSphere(self, pt, rad, coeff, norm):
-        sidx = self.n_spheres
-        self.n_spheres += 1
-        self.sphere_pts[sidx] = tuple(pt)+(0,)
-        self.sphere_rads[sidx] = rad
-        self.sphere_coeffs[sidx] = coeff
-        self.sphere_norms[sidx] = norm
-        self.set_spheres()
-
-    def hasNeighbours(self):
-        return False
-
-    def divide(self, parentState, daughter1State, daughter2State, *args, **kwargs):
-        self.divide_cell(parentState.idx, daughter1State.idx, daughter2State.idx)
-        # Initialise cellState data
-        self.initCellState(daughter1State)
-        self.initCellState(daughter2State)
-
-    def init_cl(self):
-        if self.simulator:
-            (self.context, self.queue) = self.simulator.getOpenCL()
-
-    def init_kernels(self):
-        """Set up the OpenCL kernels."""
-        from pkg_resources import resource_string
-        kernel_src = resource_string(__name__, 'CLBacterium.cl').decode()
-
-        self.program = cl.Program(self.context, kernel_src).build(cache_dir=False)
-        # Some kernels that seem like they should be built into pyopencl...
-        self.vclearf = ElementwiseKernel(self.context, "float8 *v", "v[i]=0.0", "vecclearf")
-        self.vcleari = ElementwiseKernel(self.context, "int *v", "v[i]=0", "veccleari")
-        self.vadd = ElementwiseKernel(self.context, "float8 *res, const float8 *in1, const float8 *in2",
-                                      "res[i] = in1[i] + in2[i]", "vecadd")
-        self.vsub = ElementwiseKernel(self.context, "float8 *res, const float8 *in1, const float8 *in2",
-                                          "res[i] = in1[i] - in2[i]", "vecsub")
-        self.vaddkx = ElementwiseKernel(self.context,
-                                            "float8 *res, const float k, const float8 *in1, const float8 *in2",
-                                            "res[i] = in1[i] + k*in2[i]", "vecaddkx")
-        self.vsubkx = ElementwiseKernel(self.context,
-                                            "float8 *res, const float k, const float8 *in1, const float8 *in2",
-                                            "res[i] = in1[i] - k*in2[i]", "vecsubkx")
-        self.vmulk = ElementwiseKernel(self.context,
-                                            "float8 *res, const float k, const float8 *in1",
-                                            "res[i] = k*in1[i]", "vecmulk")
-        self.vnorm = ElementwiseKernel(self.context,
-                                            "float8 *res, const float8 *in1",
-                                            "res[i] = dot(in1[i], in1[i]", "vecnorm")
-
-
-        # cell geometry kernels
-        self.calc_cell_area = ElementwiseKernel(self.context, "float* res, float* r, float* l",
-                                           "res[i] = 2.f*3.1415927f*r[i]*(2.f*r[i]+l[i])", "cell_area_kern")
-        self.calc_cell_vol = ElementwiseKernel(self.context, "float* res, float* r, float* l",
-                                          "res[i] = 3.1415927f*r[i]*r[i]*(2.f*r[i]+l[i])", "cell_vol_kern")
-
-        # A dot product as sum of float4 dot products -
-        # i.e. like flattening vectors of float8s into big float vectors
-        # then computing dot
-        # NB. Some openCLs seem not to implement dot(float8,float8) so split
-        # into float4's
-        self.vdot = ReductionKernel(self.context, numpy.float32, neutral="0",
-                reduce_expr="a+b", map_expr="dot(x[i].s0123,y[i].s0123)+dot(x[i].s4567,y[i].s4567)",
-                arguments="__global float8 *x, __global float8 *y")
-    
-
-    def init_data(self):
-        """Set up the data OpenCL will store on the device."""
-        # cell data
-        cell_geom = (self.max_cells,)
-        self.cell_centers = numpy.zeros(cell_geom, vec.float4)
-        self.cell_centers_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.cell_dirs = numpy.zeros(cell_geom, vec.float4)
-        self.cell_dirs_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.cell_lens = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_lens_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.pred_cell_centers = numpy.zeros(cell_geom, vec.float4)
-        self.pred_cell_centers_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.pred_cell_dirs = numpy.zeros(cell_geom, vec.float4)
-        self.pred_cell_dirs_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.pred_cell_lens = numpy.zeros(cell_geom, numpy.float32)
-        self.pred_cell_lens_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_rads = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_rads_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_sqs = numpy.zeros(cell_geom, numpy.int32)
-        self.cell_sqs_dev = cl_array.zeros(self.queue, cell_geom, numpy.int32)
-        self.cell_n_cts = numpy.zeros(cell_geom, numpy.int32)
-        self.cell_n_cts_dev = cl_array.zeros(self.queue, cell_geom, numpy.int32)
-        self.cell_dcenters = numpy.zeros(cell_geom, vec.float4)
-        self.cell_dcenters_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.cell_dangs = numpy.zeros(cell_geom, vec.float4)
-        self.cell_dangs_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-        self.cell_dlens = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_dlens_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_target_dlens_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_growth_rates = numpy.zeros(cell_geom, numpy.float32)
-
-        # cell geometry calculated from l and r
-        self.cell_areas_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_vols_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_old_vols_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-
-        # gridding
-        self.sq_inds = numpy.zeros((self.max_sqs,), numpy.int32)
-        self.sq_inds_dev = cl_array.zeros(self.queue, (self.max_sqs,), numpy.int32)
-        self.sorted_ids = numpy.zeros(cell_geom, numpy.int32)
-        self.sorted_ids_dev = cl_array.zeros(self.queue, cell_geom, numpy.int32)
-
-        # constraint planes
-        plane_geom = (self.max_planes,)
-        self.plane_pts = numpy.zeros(plane_geom, vec.float4)
-        self.plane_pts_dev = cl_array.zeros(self.queue, plane_geom, vec.float4)
-        self.plane_norms = numpy.zeros(plane_geom, vec.float4)
-        self.plane_norms_dev = cl_array.zeros(self.queue, plane_geom, vec.float4)
-        self.plane_coeffs = numpy.zeros(plane_geom, numpy.float32)
-        self.plane_coeffs_dev = cl_array.zeros(self.queue, plane_geom, numpy.float32)
-
-        # constraint spheres
-        sphere_geom = (self.max_spheres,)
-        self.sphere_pts = numpy.zeros(sphere_geom, vec.float4)
-        self.sphere_pts_dev = cl_array.zeros(self.queue, sphere_geom, vec.float4)
-        self.sphere_rads = numpy.zeros(sphere_geom, numpy.float32)
-        self.sphere_rads_dev = cl_array.zeros(self.queue, sphere_geom, numpy.float32)
-        self.sphere_coeffs = numpy.zeros(sphere_geom, numpy.float32)
-        self.sphere_coeffs_dev = cl_array.zeros(self.queue, sphere_geom, numpy.float32)
-        self.sphere_norms = numpy.zeros(sphere_geom, numpy.float32)
-        self.sphere_norms_dev = cl_array.zeros(self.queue, sphere_geom, numpy.float32)
-
-        # contact data
-        ct_geom = (self.max_cells, self.max_contacts)
-        self.ct_frs = numpy.zeros(ct_geom, numpy.int32)
-        self.ct_frs_dev = cl_array.zeros(self.queue, ct_geom, numpy.int32)
-        self.ct_tos = numpy.zeros(ct_geom, numpy.int32)
-        self.ct_tos_dev = cl_array.zeros(self.queue, ct_geom, numpy.int32)
-        self.ct_dists = numpy.zeros(ct_geom, numpy.float32)
-        self.ct_dists_dev = cl_array.zeros(self.queue, ct_geom, numpy.float32)
-        self.ct_pts = numpy.zeros(ct_geom, vec.float4)
-        self.ct_pts_dev = cl_array.zeros(self.queue, ct_geom, vec.float4)
-        self.ct_norms = numpy.zeros(ct_geom, vec.float4)
-        self.ct_norms_dev = cl_array.zeros(self.queue, ct_geom, vec.float4)
-        self.ct_stiff_dev = cl_array.zeros(self.queue, ct_geom, numpy.float32)
-        self.ct_overlap_dev = cl_array.zeros(self.queue, ct_geom, numpy.float32)
-        self.neighbours = numpy.zeros(ct_geom, numpy.int32)
-        self.cell_cts = numpy.zeros(self.max_cells, numpy.int32)
-
-        # where the contacts pointing to this cell are collected
-        self.cell_tos = numpy.zeros(ct_geom, numpy.int32)
-        self.cell_tos_dev = cl_array.zeros(self.queue, ct_geom, numpy.int32)
-        self.n_cell_tos = numpy.zeros(cell_geom, numpy.int32)
-        self.n_cell_tos_dev = cl_array.zeros(self.queue, cell_geom, numpy.int32)
-
-
-        # the constructed 'matrix'
-        mat_geom = (self.max_cells*self.max_contacts,)
-        self.ct_inds = numpy.zeros(mat_geom, numpy.int32)
-        self.ct_inds_dev = cl_array.zeros(self.queue, mat_geom, numpy.int32)
-        self.ct_reldists = numpy.zeros(mat_geom, numpy.float32)
-        self.ct_reldists_dev = cl_array.zeros(self.queue, mat_geom, numpy.float32)
-
-        self.fr_ents = numpy.zeros(mat_geom, vec.float8)
-        self.fr_ents_dev = cl_array.zeros(self.queue, mat_geom, vec.float8)
-        self.to_ents = numpy.zeros(mat_geom, vec.float8)
-        self.to_ents_dev = cl_array.zeros(self.queue, mat_geom, vec.float8)
-        
-
-        # vectors and intermediates
-        self.deltap = numpy.zeros(cell_geom, vec.float8)
-        self.deltap_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-        self.Mx = numpy.zeros(mat_geom, numpy.float32)
-        self.Mx_dev = cl_array.zeros(self.queue, mat_geom, numpy.float32)
-        self.BTBx = numpy.zeros(cell_geom, vec.float8)
-        self.BTBx_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-        self.Minvx_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-
-        # CGS intermediates
-        self.p_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-        self.Ap_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-        self.res_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-        self.rhs_dev = cl_array.zeros(self.queue, cell_geom, vec.float8)
-    
-
-    def load_from_cellstates(self, cell_states):
-        for (cid,cs) in list(cell_states.items()):
-            i = cs.idx
-            self.cell_centers[i] = tuple(cs.pos)+(0,)
-            self.cell_dirs[i] = tuple(cs.dir)+(0,)
-            self.cell_rads[i] = cs.radius
-            self.cell_lens[i] = cs.length
-        
-        self.n_cells = len(cell_states)
-        self.set_cells()
-        self.calc_cell_area(self.cell_areas_dev, self.cell_rads_dev, self.cell_lens_dev)
-        self.calc_cell_vol(self.cell_vols_dev, self.cell_rads_dev, self.cell_lens_dev)
-
-    def load_test_data(self):
-        import CellModeller.Biophysics.BacterialModels.CLData as data
-        self.cell_centers.put(list(range(len(data.pos))), data.pos)
-        self.cell_dirs.put(list(range(len(data.dirs))), data.dirs)
-        self.cell_lens.put(list(range(len(data.lens))), data.lens)
-        self.cell_rads.put(list(range(len(data.rads))), data.rads)
-        self.n_cells = data.n_cells
-        self.set_cells()
-
-    def load_1_cell(self):
-        self.cell_centers.put([0], [(0,0,0,0)])
-        self.cell_dirs.put([0], [(1,0,0,0)])
-        self.cell_lens.put([0], [2.0])
-        self.cell_rads.put([0], [0.5])
-        self.n_cells = 1
-        self.set_cells()
-
-
-    def load_2_cells(self):
-        root2 = numpy.sqrt(2.0)
-        self.cell_centers.put([0,1], [(-root2-0.5, 0, 0, 0), (root2+0.5, 0, 0, 0)])
-        self.cell_dirs.put([0,1], [(root2/2.0, root2/2.0, 0, 0), (-root2/2.0, root2/2.0, 0, 0)])
-        self.cell_lens.put([0,1], [4.0, 4.0])
-        self.cell_rads.put([0,1], [0.5, 0.5])
-        self.n_cells = 2
-        self.set_cells()
-
-
-    def load_3_cells(self):
-        root2 = numpy.sqrt(2.0)
-        self.cell_centers.put([0,1,2], [(-root2-0.5, 0, 0, 0), (root2+0.5, 0, 0, 0), (root2+0.5+3.3, 0, 0, 0)])
-        self.cell_dirs.put([0,1,2], [(root2/2.0, root2/2.0, 0, 0), (-root2/2.0, root2/2.0, 0, 0), (1, 0, 0, 0)])
-        self.cell_lens.put([0,1,2], [3.0, 3.0, 3.0])
-        self.cell_rads.put([0,1,2], [0.5, 0.5, 0.5])
-        self.n_cells = 3
-        self.set_cells()
-
-
-    def load_3_cells_1_plane(self):
-        root2 = numpy.sqrt(2.0)
-        self.cell_centers.put([0,1,2], [(-root2-0.5, 0, 0, 0), (root2+0.5, 0, 0, 0), (root2+0.5+3.3, 0, 0, 0)])
-        self.cell_dirs.put([0,1,2], [(root2/2.0, root2/2.0, 0, 0), (-root2/2.0, root2/2.0, 0, 0), (1, 0, 0, 0)])
-        self.cell_lens.put([0,1,2], [3.0, 3.0, 3.0])
-        self.cell_rads.put([0,1,2], [0.5, 0.5, 0.5])
-        self.n_cells = 3
-        self.set_cells()
-
-        self.n_planes = 1
-        self.plane_pts.put([0], [(0, 0, -0.5, 0)])
-        self.plane_norms.put([0], [(0, 0, 1, 0)])
-        self.plane_coeffs.put([0], [0.5])
-        self.set_planes()
-
-    def load_3_cells_2_planes(self):
-        root2 = numpy.sqrt(2.0)
-        self.cell_centers.put([0,1,2], [(-root2-0.5, 0, 0, 0), (root2+0.5, 0, 0, 0), (root2+0.5+3.3, 0, 0, 0)])
-        self.cell_dirs.put([0,1,2], [(root2/2.0, root2/2.0, 0, 0), (-root2/2.0, root2/2.0, 0, 0), (1, 0, 0, 0)])
-        self.cell_lens.put([0,1,2], [3.0, 3.0, 3.0])
-        self.cell_rads.put([0,1,2], [0.5, 0.5, 0.5])
-        self.n_cells = 3
-        self.set_cells()
-
-        self.n_planes = 2
-        self.plane_pts.put([0,1], [(0, 0, -0.5, 0), (0, 0, 0.5, 0)])
-        self.plane_norms.put([0,1], [(0, 0, 1, 0), (0, 0, -1, 0)])
-        self.plane_coeffs.put([0,1], [0.5, 0.1])
-        self.set_planes()
-
-
-    def load_1_cell_1_plane(self):
-        self.cell_centers.put([0], [(0,0,0,0)])
-        self.cell_dirs.put([0], [(1,0,0,0)])
-        self.cell_lens.put([0], [3.0])
-        self.cell_rads.put([0], [0.5])
-        self.n_cells = 1
-        self.set_cells()
-
-        self.plane_pts.put([0], [(4, 0, 0, 0)])
-        self.plane_norms.put([0], [(-1, 0, 0, 0)])
-        self.plane_coeffs.put([0], [0.5])
-        self.n_planes = 1
-        self.set_planes()
-
-
-    def load_1024_cells(self):
-        d = 32
-        for i in range(-d/2,d/2):
-            for j in range(-d/2,d/2):
-                n = (i+d/2)*d + (j+d/2)
-                x = i*3.5 + random.uniform(-0.05,0.05)
-                y = j*2.0 + random.uniform(-0.05,0.05)
-                th = random.uniform(-0.15, 0.15)
-                dir_x = math.cos(th)
-                dir_y = math.sin(th)
-                self.cell_centers.put([n], [(x, y, 0, 0)])
-                self.cell_dirs.put([n], [(dir_x, dir_y, 0, 0)])
-                self.cell_lens.put([n], [2])
-                self.cell_rads.put([n], 0.5)
-        self.n_cells = d*d
-        self.set_cells()
-
-    def get_cells(self):
-        """Copy cell centers, dirs, lens, and rads from the device."""
-        self.cell_centers[0:self.n_cells] = self.cell_centers_dev[0:self.n_cells].get()
-        self.cell_dirs[0:self.n_cells] = self.cell_dirs_dev[0:self.n_cells].get()
-        self.cell_lens[0:self.n_cells] = self.cell_lens_dev[0:self.n_cells].get()
-        self.cell_rads[0:self.n_cells] = self.cell_rads_dev[0:self.n_cells].get()
-        self.cell_dlens[0:self.n_cells] = self.cell_dlens_dev[0:self.n_cells].get()
-        self.cell_dcenters[0:self.n_cells] = self.cell_dcenters_dev[0:self.n_cells].get()
-        self.cell_dangs[0:self.n_cells] = self.cell_dangs_dev[0:self.n_cells].get()
-
-    def set_cells(self):
-        """Copy cell centers, dirs, lens, and rads to the device from local."""
-        self.cell_centers_dev[0:self.n_cells].set(self.cell_centers[0:self.n_cells])
-        self.cell_dirs_dev[0:self.n_cells].set(self.cell_dirs[0:self.n_cells])
-        self.cell_lens_dev[0:self.n_cells].set(self.cell_lens[0:self.n_cells])
-        self.cell_rads_dev[0:self.n_cells].set(self.cell_rads[0:self.n_cells])
-        self.cell_dlens_dev[0:self.n_cells].set(self.cell_dlens[0:self.n_cells])
-        self.cell_dcenters_dev[0:self.n_cells].set(self.cell_dcenters[0:self.n_cells])
-        self.cell_dangs_dev[0:self.n_cells].set(self.cell_dangs[0:self.n_cells])
-
-    def set_planes(self):
-        """Copy plane pts, norms, and coeffs to the device from local."""
-        self.plane_pts_dev[0:self.n_planes].set(self.plane_pts[0:self.n_planes])
-        self.plane_norms_dev[0:self.n_planes].set(self.plane_norms[0:self.n_planes])
-        self.plane_coeffs_dev[0:self.n_planes].set(self.plane_coeffs[0:self.n_planes])
-
-
-    def set_spheres(self):
-        """Copy sphere pts and coeffs to the device from local."""
-        self.sphere_pts_dev[0:self.n_spheres].set(self.sphere_pts[0:self.n_spheres])
-        self.sphere_rads_dev[0:self.n_spheres].set(self.sphere_rads[0:self.n_spheres])
-        self.sphere_coeffs_dev[0:self.n_spheres].set(self.sphere_coeffs[0:self.n_spheres])
-        self.sphere_norms_dev[0:self.n_spheres].set(self.sphere_norms[0:self.n_spheres])
-
-
-    def get_cts(self):
-        """Copy contact froms, tos, dists, pts, and norms from the device."""
-        self.ct_frs[0:self.n_cts] = self.ct_frs_dev[0:self.n_cts].get()
-        self.ct_tos[0:self.n_cts] = self.ct_tos_dev[0:self.n_cts].get()
-        self.ct_dists[0:self.n_cts] = self.ct_dists_dev[0:self.n_cts].get()
-        self.ct_pts[0:self.n_cts] = self.ct_pts_dev[0:self.n_cts].get()
-        self.ct_norms[0:self.n_cts] = self.ct_norms_dev[0:self.n_cts].get()
-        self.cell_n_cts[0:self.n_cells] = self.cell_n_cts_dev[0:self.n_cells].get()
-
-    def matrixTest(self):
-        x_dev = cl_array.zeros(self.queue, (self.n_cells,), vec.float8)
-        Ax_dev = cl_array.zeros(self.queue, (self.n_cells,), vec.float8)
-        opstring = ''
-        for i in range(self.n_cells):
-            x = numpy.zeros((self.n_cells,), vec.float8)
-            for j in range(7):
-                if j>0:
-                    x[i][j-1]=0.0
-                x[i][j]=1.0
-                x_dev.set(x)
-                self.calculate_Ax(Ax_dev, x_dev)
-                Ax = Ax_dev.get()
-                for ii in range(self.n_cells):
-                    for jj in range(7):
-                        opstring += str(Ax[ii][jj])
-                        if ii!=self.n_cells-1 or jj!=6:
-                            opstring = opstring + '\t'
-                opstring = opstring + '\n'
-        print("MTM")
-        print(opstring)
-        open('CellModeller/Biophysics/BacterialModels/matrix.mat', 'w').write(opstring)
-
-
-    def dump_cell_data(self, n):
-        import pickle
-        filename = 'data/data-%04i.pickle'%n
-        outfile = open(filename, 'wb')
-        data = (self.n_cells,
-                self.cell_centers_dev.get(),
-                self.cell_dirs_dev.get(),
-                self.cell_lens_dev.get(),
-                self.cell_rads_dev.get(),
-                self.parents),
-        pickle.dump(data, outfile, protocol=-1)
-
-    def dydt(self):
-        self.set_cells()
-
-    def finish(self):
-        # pull cells from the device and update simulator
-        if self.simulator:
-            self.get_cells()
-            for state in list(self.simulator.cellStates.values()):
-                self.updateCellState(state)
-
-    def progress_init(self, dt):
-        self.set_cells()
-        # NOTE: by default self.dt=None, and time step == simulator time step (dt) 
-        if self.dt:
-            self.n_ticks = int(math.ceil(dt/self.dt)) 
-        else:
-            self.n_ticks = 1 
-        # print("n_ticks = %d"%(self.n_ticks))
-        self.actual_dt = dt / float(self.n_ticks)
-        self.progress_initialised = True
-
-    def progress(self):
-        if self.n_ticks:
-            if self.tick(self.actual_dt):
-                self.n_ticks -= 1
-            return False
-        else:
-            return True
-
-    def progress_finalise(self):
-        self.frame_no += 1
-        self.progress_initialised = False
-        self.seconds_elapsed = numpy.float32(time.time() - self.time_begin)
-        self.minutes_elapsed = (numpy.float32(self.seconds_elapsed) / 60.0)  
-        self.hours_elapsed = (numpy.float32(self.minutes_elapsed) / 60.0)  
-        if self.frame_no % 10 == 0:
-            print('% 8i    % 8i cells    % 8i contacts    %f hour(s) or %f minute(s) or %f second(s)' % (self.frame_no, self.n_cells, self.n_cts, self.hours_elapsed, self.minutes_elapsed, self.seconds_elapsed))
-        # pull cells from the device and update simulator
-        if self.simulator:
-            self.get_cells()
-            # TJR: added incremental construction of this dict to same places as idToIdx - not fully tested
-            #idxToId = {idx: id for id, idx in self.simulator.idToIdx.iteritems()}
-            # TJR: add flag for this cos a bit time consuming
-            if self.computeNeighbours:
-                self.updateCellNeighbours(self.simulator.idxToId)
-            for state in list(self.simulator.cellStates.values()):
-                self.updateCellState(state)
-
-    def step(self, dt):
-        """Step forward dt units of time.
-
-        Assumes that:
-        cell_centers is up to date when it starts.
-        """
-        if not self.progress_initialised:
-            self.progress_init(dt)
-        if self.progress():
-            self.progress_finalise()
-            return True
-        else:
-            return False
-
-    def sub_tick_init(self, dt):
-        # set target dlens (taken from growth rates set by updateCellStates)
-        #self.cell_target_dlens_dev.set(dt*self.cell_growth_rates)
-        #self.cell_dlens_dev.set(dt*self.cell_dlens)
-        self.cell_dlens_dev[0:self.n_cells].set(dt*self.cell_growth_rates[0:self.n_cells])
-
-        # redefine gridding based on the range of cell positions
-        self.cell_centers[0:self.n_cells] = self.cell_centers_dev[0:self.n_cells].get()
-        self.update_grid() # we assume local cell_centers is current
-
-        # get each cell into the correct sq and retrieve from the device
-        self.bin_cells()
-
-        # sort cells and find sq index starts in the list
-        self.cell_sqs = self.cell_sqs_dev[0:self.n_cells].get() # get updated cell sqs
-        self.sort_cells()
-        self.sorted_ids_dev.set(self.sorted_ids) # push changes to the device
-        self.sq_inds_dev.set(self.sq_inds)
-
-        self.n_cts = 0
-        self.vcleari(self.cell_n_cts_dev) # clear the accumulated contact count
-        self.sub_tick_i=0
-        self.sub_tick_initialised=True
-
-    def tick(self, dt):
-        if not self.sub_tick_initialised:
-            self.sub_tick_init(dt)
-        if self.sub_tick(dt):
-            self.sub_tick_finalise()
-            return True
-        else:
-            return False
-
-    def sub_tick(self, dt):
-        old_n_cts = self.n_cts
-        self.predict()
-        # find all contacts
-        self.find_contacts()
-        # place 'backward' contacts in cells
-        self.collect_tos()
-
-        self.sub_tick_i += 1
-        alpha = 10**(self.sub_tick_i)
-        new_cts = self.n_cts - old_n_cts
-        if (new_cts>0 or self.sub_tick_i==0) and self.sub_tick_i<self.max_substeps:
-            self.build_matrix() # Calculate entries of the matrix
-            #print "max cell contacts = %i"%cl_array.max(self.cell_n_cts_dev).get()
-            self.CGSSolve(dt, alpha) # invert MTMx to find deltap
-            self.add_impulse()
-            return False
-        else:
-            return True
-
-    def sub_tick_finalise(self):
-        #print "Substeps = %d"%self.sub_tick_i
-        self.integrate()
-        self.calc_cell_geom()
-        self.sub_tick_initialised=False
-
-    def initCellState(self, state):
-        cid = state.id
-        i = state.idx
-        state.pos = [self.cell_centers[i][j] for j in range(3)]
-        state.dir = [self.cell_dirs[i][j] for j in range(3)]
-        state.radius = self.cell_rads[i]
-        state.length = self.cell_lens[i]
-        #for effective growth calulations
-        state.oldLen = self.cell_lens[i]
-        
-        state.volume = state.length # TO DO: do something better here
-        pa = numpy.array(state.pos)
-        da = numpy.array(state.dir)
-        state.ends = (pa-da*state.length*0.5, pa+da*state.length*0.5)
-        state.strainRate = 0.0
-        #self.cell_dlens[i] = state.growthRate
-        state.startVol = state.volume
-
-    def updateCellNeighbours(self, idx2Id):
-        ct_tos = self.ct_tos_dev[0:self.n_cells,:].get()
-        cell_to_cts = self.cell_n_cts_dev[0:self.n_cells].get()
-        cell_cts = numpy.zeros(self.n_cells, numpy.int32)
-        for i in range(self.n_cells):
-            for j in range(cell_to_cts[i]):
-                if ct_tos[i,j]>0:#not a plane contact
-                    self.neighbours[i, cell_cts[i]] = idx2Id[ct_tos[i,j]]
-                    cell_cts[i] += 1
-                    self.neighbours[ct_tos[i,j], cell_cts[ct_tos[i,j]]] = idx2Id[i]
-                    cell_cts[ct_tos[i,j]] += 1
-        self.cell_cts = cell_cts
-
-    def updateCellState(self, state):
-        cid = state.id
-        i = state.idx
-
-        state.vel = [self.cell_centers[i][j]-state.pos[j] for j in range(3)]
-        state.pos = [self.cell_centers[i][j] for j in range(3)]
-        state.dir = [self.cell_dirs[i][j] for j in range(3)]
-        state.radius = self.cell_rads[i]
-        state.length = self.cell_lens[i]
-        state.strainRate = (state.length - state.oldLen)/state.oldLen
-
-        #currently the effective growth rate is calculated over the entire history of the cell
-        state.effGrowth = state.effGrowth * state.cellAge + state.strainRate * state.oldLen
-        state.cellAge += 1
-        state.effGrowth = state.effGrowth / state.cellAge
-        state.oldLen = state.length
-
-        state.neighbours = [] #clear contacts
-        if self.computeNeighbours: #populate cellstate.neighbours
-            for n in range(self.cell_cts[i]):
-                if self.neighbours[i,n] not in state.neighbours:
-                    state.neighbours.append(self.neighbours[i,n]) #ids of all cells in physical contact
-        state.cts = len(state.neighbours)
-
-        state.volume = state.length # TO DO: do something better here
-        pa = numpy.array(state.pos)
-        da = numpy.array(state.dir)
-        state.ends = (pa-da*state.length*0.5, pa+da*state.length*0.5)
-        # Length vel is linearisation of exponential growth
-        self.cell_growth_rates[i] = state.growthRate*state.length
-
-
-    def update_grid(self):
-        """Update our grid_(x,y)_min, grid_(x,y)_max, and n_sqs.
-
-        Assumes that our copy of cell_centers is current.
-        """
-        coords = self.cell_centers.view(numpy.float32).reshape((self.max_cells, 4))
-
-        x_coords = coords[:,0]
-        min_x_coord = x_coords.min()
-        max_x_coord = x_coords.max()
-        self.grid_x_min = int(math.floor(min_x_coord / self.grid_spacing))
-        self.grid_x_max = int(math.ceil(max_x_coord / self.grid_spacing))
-        if self.grid_x_min == self.grid_x_max:
-            self.grid_x_max += 1
-
-        y_coords = coords[:,1]
-        min_y_coord = y_coords.min()
-        max_y_coord = y_coords.max()
-        self.grid_y_min = int(math.floor(min_y_coord / self.grid_spacing))
-        self.grid_y_max = int(math.ceil(max_y_coord / self.grid_spacing))
-        if self.grid_y_min == self.grid_y_max:
-            self.grid_y_max += 1
-
-        self.n_sqs = (self.grid_x_max-self.grid_x_min)*(self.grid_y_max-self.grid_y_min)
-
-
-    def bin_cells(self):
-        """Call the bin_cells kernel.
-
-        Assumes cell_centers is current on the device.
-
-        Calculates cell_sqs.
-        """
-        self.program.bin_cells(self.queue,
-                               (self.n_cells,),
-                               None,
-                               numpy.int32(self.grid_x_min),
-                               numpy.int32(self.grid_x_max),
-                               numpy.int32(self.grid_y_min),
-                               numpy.int32(self.grid_y_max),
-                               numpy.float32(self.grid_spacing),
-                               self.cell_centers_dev.data,
-                               self.cell_sqs_dev.data).wait()
-
-
-    def sort_cells(self):
-        """Sort the cells by grid square and find the start of each
-        grid square's cells in that list.
-
-        Assumes that the local copy of cell_sqs is current.
-
-        Calculates local sorted_ids and sq_inds.
-        """
-        self.sorted_ids.put(numpy.arange(self.n_cells), numpy.argsort(self.cell_sqs[:self.n_cells]))
-        self.sorted_ids_dev[0:self.n_cells].set(self.sorted_ids[0:self.n_cells])
-
-        # find the start of each sq in the list of sorted cell ids and send to the device
-        sorted_sqs = numpy.sort(self.cell_sqs[:self.n_cells])
-        self.sq_inds.put(numpy.arange(self.n_sqs), numpy.searchsorted(sorted_sqs, numpy.arange(self.n_sqs), side='left'))
-        self.sq_inds_dev.set(self.sq_inds)
-
-
-    def find_contacts(self, predict=True):
-        """Call the find_contacts kernel.
-
-        Assumes that cell_centers, cell_dirs, cell_lens, cell_rads,
-        cell_sqs, cell_dcenters, cell_dlens, cell_dangs,
-        sorted_ids, and sq_inds are current on the device.
-
-        Calculates cell_n_cts, ct_frs, ct_tos, ct_dists, ct_pts,
-        ct_norms, ct_reldists, and n_cts.
-        """
-        if predict:
-            centers = self.pred_cell_centers_dev
-            dirs = self.pred_cell_dirs_dev
-            lens = self.pred_cell_lens_dev
-        else:
-            centers = self.cell_centers_dev
-            dirs = self.cell_dirs_dev
-            lens = self.cell_lens_dev
-
-        self.program.find_plane_contacts(self.queue,
-                                         (self.n_cells,),
-                                         None,
-                                         numpy.int32(self.max_cells),
-                                         numpy.int32(self.max_contacts),
-                                         numpy.int32(self.n_planes),
-                                         self.plane_pts_dev.data,
-                                         self.plane_norms_dev.data,
-                                         self.plane_coeffs_dev.data,
-                                         centers.data,
-                                         dirs.data,
-                                         lens.data,
-                                         self.cell_rads_dev.data,
-                                         self.cell_n_cts_dev.data,
-                                         self.ct_frs_dev.data,
-                                         self.ct_tos_dev.data,
-                                         self.ct_dists_dev.data,
-                                         self.ct_pts_dev.data,
-                                         self.ct_norms_dev.data,
-                                         self.ct_reldists_dev.data,
-                                         self.ct_stiff_dev.data).wait()
-
-        self.program.find_sphere_contacts(self.queue,
-                                         (self.n_cells,),
-                                         None,
-                                         numpy.int32(self.max_cells),
-                                         numpy.int32(self.max_contacts),
-                                         numpy.int32(self.n_spheres),
-                                         self.sphere_pts_dev.data,
-                                         self.sphere_coeffs_dev.data,
-                                         self.sphere_rads_dev.data,
-                                         self.sphere_norms_dev.data,
-                                         centers.data,
-                                         dirs.data,
-                                         lens.data,
-                                         self.cell_rads_dev.data,
-                                         self.cell_n_cts_dev.data,
-                                         self.ct_frs_dev.data,
-                                         self.ct_tos_dev.data,
-                                         self.ct_dists_dev.data,
-                                         self.ct_pts_dev.data,
-                                         self.ct_norms_dev.data,
-                                         self.ct_reldists_dev.data,
-                                         self.ct_stiff_dev.data).wait()
-
-        self.program.find_contacts(self.queue,
-                                   (self.n_cells,),
-                                   None,
-                                   numpy.int32(self.max_cells),
-                                   numpy.int32(self.n_cells),
-                                   numpy.int32(self.grid_x_min),
-                                   numpy.int32(self.grid_x_max),
-                                   numpy.int32(self.grid_y_min),
-                                   numpy.int32(self.grid_y_max),
-                                   numpy.int32(self.n_sqs),
-                                   numpy.int32(self.max_contacts),
-                                   centers.data,
-                                   dirs.data,
-                                   lens.data,
-                                   self.cell_rads_dev.data,
-                                   self.cell_sqs_dev.data,
-                                   self.sorted_ids_dev.data,
-                                   self.sq_inds_dev.data,
-                                   self.cell_n_cts_dev.data,
-                                   self.ct_frs_dev.data,
-                                   self.ct_tos_dev.data,
-                                   self.ct_dists_dev.data,
-                                   self.ct_pts_dev.data,
-                                   self.ct_norms_dev.data,
-                                   self.ct_reldists_dev.data,
-                                   self.ct_stiff_dev.data,
-                                   self.ct_overlap_dev.data).wait()
-
-        # set dtype to int32 so we don't overflow the int32 when summing
-        #self.n_cts = self.cell_n_cts_dev.get().sum(dtype=numpy.int32)
-        self.n_cts = cl_array.sum(self.cell_n_cts_dev[0:self.n_cells]).get()
-
-
-    def collect_tos(self):
-        """Call the collect_tos kernel.
-
-        Assumes that cell_sqs, sorted_ids, sq_inds, cell_n_cts,
-        ct_frs, and ct_tos are current on the device.
-
-        Calculates cell_tos and n_cell_tos.
-        """
-        self.program.collect_tos(self.queue,
-                                 (self.n_cells,),
-                                 None,
-                                 numpy.int32(self.max_cells),
-                                 numpy.int32(self.n_cells),
-                                 numpy.int32(self.grid_x_min),
-                                 numpy.int32(self.grid_x_max),
-                                 numpy.int32(self.grid_y_min),
-                                 numpy.int32(self.grid_y_max),
-                                 numpy.int32(self.n_sqs),
-                                 numpy.int32(self.max_contacts),
-                                 self.cell_sqs_dev.data,
-                                 self.sorted_ids_dev.data,
-                                 self.sq_inds_dev.data,
-                                 self.cell_n_cts_dev.data,
-                                 self.ct_frs_dev.data,
-                                 self.ct_tos_dev.data,
-                                 self.cell_tos_dev.data,
-                                 self.n_cell_tos_dev.data).wait()
-
-
-    def build_matrix(self):
-        """Build the matrix so we can calculate M^TMx = Ax.
-
-        Assumes cell_centers, cell_dirs, cell_lens, cell_rads,
-        ct_inds, ct_frs, ct_tos, ct_dists, and ct_norms are current on
-        the device.
-
-        Calculates fr_ents and to_ents.
-        """
-        self.program.build_matrix(self.queue,
-                                  (self.n_cells, self.max_contacts),
-                                  None,
-                                  numpy.int32(self.max_contacts),
-                                  self.pred_cell_centers_dev.data,
-                                  self.pred_cell_dirs_dev.data,
-                                  self.pred_cell_lens_dev.data,
-                                  self.cell_rads_dev.data,
-                                  self.cell_n_cts_dev.data,
-                                  self.ct_frs_dev.data,
-                                  self.ct_tos_dev.data,
-                                  self.ct_pts_dev.data,
-                                  self.ct_norms_dev.data,
-                                  self.fr_ents_dev.data,
-                                  self.to_ents_dev.data,
-                                  self.ct_stiff_dev.data).wait()
-    
-
-    def calculate_Ax(self, Ax, x, dt, alpha):
-
-        self.program.calculate_Bx(self.queue,
-                                  (self.n_cells, self.max_contacts),
-                                  None,
-                                  numpy.int32(self.max_contacts),
-                                  self.ct_frs_dev.data,
-                                  self.ct_tos_dev.data,
-                                  self.fr_ents_dev.data,
-                                  self.to_ents_dev.data,
-                                  x.data,
-                                  self.Mx_dev.data).wait()
-        self.program.calculate_BTBx(self.queue,
-                                    (self.n_cells,),
-                                    None,
-                                    numpy.int32(self.max_contacts),
-                                    self.cell_n_cts_dev.data,
-                                    self.n_cell_tos_dev.data,
-                                    self.cell_tos_dev.data,
-                                    self.fr_ents_dev.data,
-                                    self.to_ents_dev.data,
-                                    self.Mx_dev.data,
-                                    Ax.data).wait()
-        # Tikhonov test
-        #self.vaddkx(Ax, numpy.float32(0.01), Ax, x)
-
-        # Energy mimizing regularization
-        self.program.calculate_Mx(self.queue,
-                                      (self.n_cells,),
-                                      None,
-                                      numpy.float32(self.muA),
-                                      numpy.float32(self.gamma),
-                                      self.cell_dirs_dev.data,
-                                      self.cell_lens_dev.data,
-                                      self.cell_rads_dev.data,
-                                      x.data,
-                                      self.Mx_dev.data).wait()
-
-        #this was altered from dt*reg_param
-        #self.vaddkx(Ax, self.gamma, Ax, self.Mx_dev).wait()
-        #self.vaddkx(Ax, alpha, self.Mx_dev, Ax).wait()
-        self.vaddkx(Ax, 1/self.gamma, Ax, self.Mx_dev).wait()
-        # 1/math.sqrt(self.n_cells) removed from the reg_param NB
-    
-        #print(self.Minvx_dev)
-
-    def CGSSolve(self, dt, alpha, substep=False):
-        # Solve A^TA\deltap=A^Tb (Ax=b)
-
-        # There must be a way to do this using built in pyopencl - what
-        # is it?!
-        self.vclearf(self.deltap_dev[0:self.n_cells])
-        self.vclearf(self.rhs_dev[0:self.n_cells])
-
-        # put M^T n^Tv_rel in rhs (b)
-        self.program.calculate_BTBx(self.queue,
-                                    (self.n_cells,),
-                                    None,
-                                    numpy.int32(self.max_contacts),
-                                    self.cell_n_cts_dev.data,
-                                    self.n_cell_tos_dev.data,
-                                    self.cell_tos_dev.data,
-                                    self.fr_ents_dev.data,
-                                    self.to_ents_dev.data,
-                                    self.ct_reldists_dev.data,
-                                    self.rhs_dev.data).wait()
-
-
-        # res = b-Ax
-        self.calculate_Ax(self.BTBx_dev, self.deltap_dev, dt, alpha)
-        self.vsub(self.res_dev[0:self.n_cells], self.rhs_dev[0:self.n_cells], self.BTBx_dev[0:self.n_cells])
-
-        # p = res
-        cl.enqueue_copy(self.queue, self.p_dev[0:self.n_cells].data, self.res_dev[0:self.n_cells].data)
-
-        # rsold = l2norm(res)
-        rsold = self.vdot(self.res_dev[0:self.n_cells], self.res_dev[0:self.n_cells]).get()
-        rsfirst = rsold
-        if math.sqrt(rsold/self.n_cells) < self.cgs_tol:
-            if self.printing and self.frame_no%10==0:
-                print('% 5i'%self.frame_no + '% 6i cells  % 6i cts  % 6i iterations  residual = %f' % (self.n_cells,
-            self.n_cts, 0, math.sqrt(rsold/self.n_cells)))
-            return (0.0, rsold)
-
-        # iterate
-        # max iters = matrix dimension = 7 (dofs) * num cells
-        #dying=False
-        max_iters = self.n_cells*7
-            
-        for iter in range(max_iters):
-            # Ap
-            self.calculate_Ax(self.Ap_dev[0:self.n_cells], self.p_dev[0:self.n_cells], dt, alpha)
-
-            # p^TAp
-            pAp = self.vdot(self.p_dev[0:self.n_cells], self.Ap_dev[0:self.n_cells]).get()
-
-            # alpha = rsold/p^TAp
-            alpha = numpy.float32(rsold/pAp)
-
-            # x = x + alpha*p, x=self.disp
-            self.vaddkx(self.deltap_dev[0:self.n_cells], alpha, self.deltap_dev[0:self.n_cells], self.p_dev[0:self.n_cells])
-
-            # res = res - alpha*Ap
-            self.vsubkx(self.res_dev[0:self.n_cells], alpha, self.res_dev[0:self.n_cells], self.Ap_dev[0:self.n_cells])
-
-            # rsnew = l2norm(res)
-            rsnew = self.vdot(self.res_dev[0:self.n_cells], self.res_dev[0:self.n_cells]).get()
-
-            # Test for convergence
-            if math.sqrt(rsnew/self.n_cells) < self.cgs_tol:
-            #if math.sqrt(rsnew/rsfirst) < self.cgs_tol:
-                break
-
-            # Stopped converging -> terminate
-            #if rsnew/rsold>2.0:
-            #    break
-
-            # p = res + rsnew/rsold *p
-            self.vaddkx(self.p_dev[0:self.n_cells], numpy.float32(rsnew/rsold), self.res_dev[0:self.n_cells], self.p_dev[0:self.n_cells])
-
-            rsold = rsnew
-            #print '        ',iter,rsold
-
-        if self.printing and self.frame_no%10==0:
-            print('% 5i'%self.frame_no + '% 6i cells  % 6i cts  % 6i iterations  residual = %f' % (self.n_cells, self.n_cts, iter+1, math.sqrt(rsnew/self.n_cells)))
-        return (iter+1, math.sqrt(rsnew/self.n_cells))
-
-
-    def predict(self):
-        """Predict cell centers, dirs, lens for a timestep dt based
-        on the current velocities.
-
-        Assumes cell_centers, cell_dirs, cell_lens, cell_rads, and
-        cell_dcenters, cell_dangs, cell_dlens are current on the device.
-
-        Calculates new pred_cell_centers, pred_cell_dirs, pred_cell_lens.
-        """
-        self.program.predict(self.queue,
-                             (self.n_cells,),
-                             None,
-                             self.cell_centers_dev.data,
-                             self.cell_dirs_dev.data,
-                             self.cell_lens_dev.data,
-                             self.cell_dcenters_dev.data,
-                             self.cell_dangs_dev.data,
-                             self.cell_dlens_dev.data,
-                             self.pred_cell_centers_dev.data,
-                             self.pred_cell_dirs_dev.data,
-                             self.pred_cell_lens_dev.data).wait()
-
-    def integrate(self):
-        """Integrates cell centers, dirs, lens for a timestep dt based
-        on the current deltap.
-
-        Assumes cell_centers, cell_dirs, cell_lens, cell_rads, and
-        deltap are current on the device.
-
-        Calculates new cell_centers, cell_dirs, cell_lens.
-        """
-        self.program.integrate(self.queue,
-                               (self.n_cells,),
-                               None,
-                               self.cell_centers_dev.data,
-                               self.cell_dirs_dev.data,
-                               self.cell_lens_dev.data,
-                               self.cell_dcenters_dev.data,
-                               self.cell_dangs_dev.data,
-                               self.cell_dlens_dev.data).wait()
-
-    def add_impulse(self):
-        self.program.add_impulse(self.queue, (self.n_cells,), None,
-                                 numpy.float32(self.muA),
-                                 numpy.float32(self.gamma),
-                                 self.deltap_dev.data,
-                                 self.cell_dirs_dev.data,
-                                 self.cell_lens_dev.data,
-                                 self.cell_rads_dev.data,
-                                 self.cell_dcenters_dev.data,
-                                 self.cell_dangs_dev.data,
-                                 self.cell_target_dlens_dev.data,
-                                 self.cell_dlens_dev.data).wait()
-
-    def divide_cell(self, i, d1i, d2i):
-        """Divide a cell into two equal sized daughter cells.
-
-        Fails silently if we're out of cells.
-
-        Assumes our local copy of cells is current.
-
-        Calculates new cell_centers, cell_dirs, cell_lens, and cell_rads.
-        """
-        if self.n_cells >= self.max_cells:
-            return
-        # idxs of the two new cells
-        a = d1i
-        b = d2i
-
-        # seems to be making shallow copies without the tuple calls
-        parent_center = tuple(self.cell_centers[i])
-        parent_dir = tuple(self.cell_dirs[i])
-        parent_rad = self.cell_rads[i]
-        parent_len = self.cell_lens[i]
-
-        daughter_len = parent_len/2.0 - parent_rad #- 0.025
-        daughter_offset = daughter_len/2.0 + parent_rad
-        center_offset = tuple([parent_dir[k]*daughter_offset for k in range(4)])
-
-        self.cell_centers[a] = tuple([(parent_center[k] - center_offset[k]) for k in range(4)])
-        self.cell_centers[b] = tuple([(parent_center[k] + center_offset[k]) for k in range(4)])
-
-        if not self.alternate_divisions:
-            cdir = numpy.array(parent_dir)
-            jitter = numpy.random.uniform(-0.001,0.001,3)
-            if not self.jitter_z: jitter[2] = 0.0
-            cdir[0:3] += jitter
-            cdir /= numpy.linalg.norm(cdir)
-            self.cell_dirs[a][0] = cdir[0]
-            self.cell_dirs[a][1] = cdir[1]
-            self.cell_dirs[a][2] = cdir[2]
-
-            cdir = numpy.array(parent_dir)
-            jitter = numpy.random.uniform(-0.001,0.001,3)
-            if not self.jitter_z: jitter[2] = 0.0
-            cdir[0:3] += jitter
-            cdir /= numpy.linalg.norm(cdir)
-            self.cell_dirs[b][0] = cdir[0]
-            self.cell_dirs[b][1] = cdir[1]
-            self.cell_dirs[b][2] = cdir[2]
-        else:
-            cdir = numpy.array(parent_dir)
-            tmp = cdir[0]
-            cdir[0] = -cdir[1]
-            cdir[1] = tmp
-            self.cell_dirs[a] = cdir
-            self.cell_dirs[b] = cdir
-
-
-        self.cell_lens[a] = daughter_len
-        self.cell_lens[b] = daughter_len
-        self.cell_rads[a] = parent_rad
-        self.cell_rads[b] = parent_rad
-
-        self.n_cells += 1
-
-        self.parents[b] = a
-
-        vols = self.cell_vols_dev[0:self.n_cells].get()
-        daughter_vol = vols[i] / 2.0
-        vols[a] = daughter_vol
-        vols[b] = daughter_vol
-        self.cell_vols_dev[0:self.n_cells].set(vols)
-
-        # Inherit velocities from parent (conserve momentum)
-        parent_dlin = self.cell_dcenters[i]
-        self.cell_dcenters[a] = parent_dlin
-        self.cell_dcenters[b] = parent_dlin
-        parent_dang = self.cell_dangs[i]
-        self.cell_dangs[a] = parent_dang
-        self.cell_dangs[b] = parent_dang
-
-
-        #return indices of daughter cells
-        return (a,b)
-
-
-    def calc_cell_geom(self):
-        """Calculate cell geometry using lens/rads on card."""
-        # swap cell vols and cell_vols old
-        tmp = self.cell_old_vols_dev[0:self.n_cells]
-        self.cell_old_vols_dev[0:self.n_cells] = self.cell_vols_dev[0:self.n_cells]
-        self.cell_vols_dev[0:self.n_cells] = tmp
-        # update geometry
-        self.calc_cell_area(self.cell_areas_dev[0:self.n_cells], \
-                            self.cell_rads_dev[0:self.n_cells], \
-                            self.cell_lens_dev[0:self.n_cells])
-        self.calc_cell_vol(self.cell_vols_dev[0:self.n_cells], \
-                            self.cell_rads_dev[0:self.n_cells], \
-                            self.cell_lens_dev[0:self.n_cells])
-
-
-    def profileGrid(self):
-        if self.n_cts==0:
-            return
-        import time
-        t1 = time.clock()
-        for i in range(1000):
-            # redefine gridding based on the range of cell positions
-            self.cell_centers = self.cell_centers_dev.get()
-            self.update_grid() # we assume local cell_centers is current
-
-            # get each cell into the correct sq and retrieve from the device
-            self.bin_cells()
-
-            # sort cells and find sq index starts in the list
-            self.cell_sqs = self.cell_sqs_dev.get() # get updated cell sqs
-            self.sort_cells()
-            self.sorted_ids_dev.set(self.sorted_ids) # push changes to the device
-            self.sq_inds_dev.set(self.sq_inds)
-        t2 = time.clock()
-        print("Grid stuff timing for 1000 calls, time per call (s) = %f"%((t2-t1)*0.001))
-        open("grid_prof","a").write( "%i, %i, %f\n"%(self.n_cells,self.n_cts,(t2-t1)*0.001) )
-
-
-    def profileFindCts(self):
-        if self.n_cts==0:
-            return
-        import time
-        t1 = time.clock()
-        dt = 0.005
-        for i in range(1000):
-            self.n_cts = 0
-            self.vcleari(self.cell_n_cts_dev) # clear the accumulated contact count
-            self.predict(dt)
-            # find all contacts
-            self.find_contacts(dt)
-            # place 'backward' contacts in cells
-            self.collect_tos()
-
-            # compact the contacts so we can dispatch only enough threads
-            # to deal with each
-            self.ct_frs = self.ct_frs_dev.get()
-            self.ct_tos = self.ct_tos_dev.get()
-            self.compact_cts()
-            self.ct_inds_dev.set(self.ct_inds)
-        t2 = time.clock()
-        print("Find contacts timing for 1000 calls, time per call (s) = %f"%((t2-t1)*0.001))
-        open("findcts_prof","a").write( "%i, %i, %f\n"%(self.n_cells,self.n_cts,(t2-t1)*0.001) )
-
-    def profileCGS(self):
-        if self.n_cts==0:
-            return
-        import time
-        t1 = time.clock()
-        dt = 0.005
-        for i in range(1000):
-            self.build_matrix(dt) # Calculate entries of the matrix
-            (iters, res) = self.CGSSolve()
-            print("cgs prof: iters=%i, res=%f"%(iters,res))
-        t2 = time.clock()
-        print("CGS timing for 1000 calls, time per call (s) = %f"%((t2-t1)*0.001))
-        open("cgs_prof","a").write( "%i, %i, %i, %f\n"%(self.n_cells,self.n_cts,iters,(t2-t1)*0.001) )
-
-
diff --git a/CellModeller/Biophysics/BacterialModels/__init__.py b/CellModeller/Biophysics/BacterialModels/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/CellModeller/Biophysics/GeneralModels/CLFixedPosition.py b/CellModeller/Biophysics/GeneralModels/CLFixedPosition.py
deleted file mode 100644
index 87d6e7cf..00000000
--- a/CellModeller/Biophysics/GeneralModels/CLFixedPosition.py
+++ /dev/null
@@ -1,88 +0,0 @@
-import sys
-import math
-import numpy
-import pyopencl as cl
-import pyopencl.array as cl_array
-from pyopencl.array import vec
-
-class CLFixedPosition:
-    def __init__(self, sim, max_cells=100):
-        self.simulator = sim
-        self.max_cells = max_cells
-        self.init_cl()
-        self.init_data()
-        self.n_cells = 0
-
-    def setRegulator(self, reg):
-        self.reg = reg
-                    
-    def init_cl(self):
-        if self.simulator:
-            (self.context, self.queue) = self.simulator.getOpenCL()
-
-    def init_data(self):
-        """Set up the data OpenCL will store on the device."""
-        # cell data
-        cell_geom = (self.max_cells,)
-        self.cell_centers = numpy.zeros(cell_geom, vec.float4)
-        self.cell_centers_dev = cl_array.zeros(self.queue, cell_geom, vec.float4)
-
-        # cell geometry
-        self.cell_areas_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_areas = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_vols_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_vols = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_old_vols_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-        self.cell_old_vols = numpy.zeros(cell_geom, numpy.float32)
-
-        self.cell_growth_rates = numpy.zeros(cell_geom, numpy.float32)
-        self.cell_growth_rates_dev = cl_array.zeros(self.queue, cell_geom, numpy.float32)
-
-    def addCell(self, cellState, pos=(0,0,0), vol=1, **kwargs):
-        i = cellState.idx
-        self.n_cells += 1
-        cid = cellState.id
-        self.cell_centers[i] = tuple(pos+(0,))
-        self.cell_vols[i] = vol
-        self.cell_old_vols[i] = vol
-        self.initCellState(cellState)
-        self.set_cells()
-
-    def initCellState(self, state):
-        cid = state.id
-        i = state.idx
-        state.pos = [self.cell_centers[i][j] for j in range(3)]
-        state.volume = self.cell_vols[i]
-        state.startVol = state.volume
-
-    def updateCellState(self, state):
-        cid = state.id
-        i = state.idx
-        state.volume = self.cell_vols[i] 
-        self.cell_growth_rates[i] = state.growthRate*state.volume
-
-    def get_cells(self):
-        """Copy cell centers, dirs, lens, and rads from the device."""
-        self.cell_centers[0:self.n_cells] = self.cell_centers_dev[0:self.n_cells].get()
-        self.cell_vols[0:self.n_cells] = self.cell_vols_dev[0:self.n_cells].get()
-
-    def set_cells(self):
-        """Copy cell centers, dirs, lens, and rads to the device from local."""
-        self.cell_centers_dev[0:self.n_cells].set(self.cell_centers[0:self.n_cells])
-        self.cell_vols_dev[0:self.n_cells].set(self.cell_vols[0:self.n_cells])
-        self.cell_growth_rates_dev[0:self.n_cells].set(self.cell_growth_rates[0:self.n_cells])
-
-    def step(self, dt):
-        self.set_cells()
-
-        # No change in positions, just growth increasing volume
-        self.cell_old_vols_dev[0:self.n_cells] = self.cell_vols_dev[0:self.n_cells]
-        self.cell_vols_dev += self.cell_growth_rates_dev * dt
-
-        if self.simulator:
-            self.get_cells()
-            for state in list(self.simulator.cellStates.values()):
-                self.updateCellState(state)
-
-        return True
-
diff --git a/CellModeller/Biophysics/GeneralModels/__init__.py b/CellModeller/Biophysics/GeneralModels/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/CellModeller/Biophysics/__init__.py b/CellModeller/Biophysics/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/CellModeller/Integration/CLCrankNicIntegrator.cl b/CellModeller/Integration/CLCrankNicIntegrator.cl
deleted file mode 100644
index f14f3b2c..00000000
--- a/CellModeller/Integration/CLCrankNicIntegrator.cl
+++ /dev/null
@@ -1,329 +0,0 @@
-
-
-void userSignalRates(float gridVolume, float area, float volume, const int cellType, float* rates, __global const float* species, __global const float* signals)
-{
-    %(sigKernel)s
-}
-void userSpecRates(float gridVolume, float area, float volume, const int cellType, __global float* rates, __global float* species, __global const float* signals)
-{
-    %(specKernel)s
-}
-
-__kernel void gridCells(const float gridOrigx,
-                        const float gridOrigy,
-                        const float gridOrigz,
-                        const float gridSizex,
-                        const float gridSizey,
-                        const float gridSizez,
-                        const int gridDimx,
-                        const int gridDimy,
-                        const int gridDimz,
-                        __global const float4* pos,
-                        __global float* weights,
-                        __global int* indices)
-{
-    int id = get_global_id(0);
-    int base = id*8;
-    int4 idx = 0;
-    float4 p = pos[id];
-    float ix = floor((p.x - gridOrigx) / gridSizex);
-    float iy = floor((p.y - gridOrigy) / gridSizey);
-    float iz = floor((p.z - gridOrigz) / gridSizez);
-    idx.x = (int)(ix);
-    idx.y = (int)(iy);
-    idx.z = (int)(iz);
-
-
-
-    // Indices of 8 nearest grid nodes
-    for (int i=0; i<2; i++) {
-        for (int j=0; j<2; j++) {
-            for (int k=0; k<2; k++) {
-                int4 offset = {i,j,k,0};
-                int4 ind = idx + offset;
-                // Is the neighbourhood node in the grid?
-                int inGrid = (int)(ind.x>=0 && ind.x<gridDimx && ind.y>=0 && ind.y<gridDimy && ind.z>=0 && ind.z<gridDimz);
-                int flatidx = ind.z + ind.y*gridDimz + ind.x*gridDimz*gridDimy;
-                // if in grid put index, else zero
-                indices[base + k + j*2 + i*4] = inGrid * flatidx;
-            }
-        }
-    }
-
-    // Trilinear weights on 8 corner nodes
-    float dx = (p.x - gridOrigx) / gridSizex;
-    dx -= floor(dx);
-    float dy = (p.y - gridOrigy) / gridSizey;
-    dy -= floor(dy);
-    float dz = (p.z - gridOrigz) / gridSizez;
-    dz -= floor(dz);
-
-    //  Tedious bounds checking on neighbourhood to avoid wrapping and overflow...
-    //    Set weight to zero if off grid (index will also be zero)
-    
-   weights[base+0] /*[0,0,0]*/ = (float)(ix>=0 && ix<gridDimx && iy>=0 && iy<gridDimy && iz>=0 && iz<gridDimz) *  (1.f-dx)*(1.f-dy)*(1.f-dz);
-   weights[base+1] /*[0,0,1]*/ = (float)(ix>=0 && ix<gridDimx && iy>=0 && iy<gridDimy && iz>=-1 && iz<gridDimz-1) * (1.f-dx)*(1.f-dy)*dz;
-   weights[base+2] /*[0,1,0]*/ = (float)(ix>=0 && ix<gridDimx && iy>=-1 && iy<gridDimy-1 && iz>=0 && iz<gridDimz) * (1.f-dx)*dy*(1.f-dz);
-   weights[base+3] /*[0,1,1]*/ = (float)(ix>=0 && ix<gridDimx && iy>=-1 && iy<gridDimy-1 && iz>=-1 && iz<gridDimz-1) * (1.f-dx)*dy*dz;
-   weights[base+4] /*[1,0,0]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=0 && iy<gridDimy && iz>=0 && iz<gridDimz) * dx*(1.f-dy)*(1.f-dz);
-   weights[base+5] /*[1,0,1]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=0 && iy<gridDimy && iz>=-1 && iz<gridDimz-1) * dx*(1.f-dy)*dz;
-   weights[base+6] /*[1,1,0]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=-1 && iy<gridDimy-1 && iz>=0 && iz<gridDimz) * dx*dy*(1.f-dz);
-   weights[base+7] /*[1,1,1]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=-1 && iy<gridDimy-1 && iz>=-1 && iz<gridDimz-1) * dx*dy*dz;
-    
-}
-
-__kernel void setCellSignals(const int numSignals,
-                                    const int gridTotalSize,
-                                    const int gridDimx,
-                                    const int gridDimy,
-                                    const int gridDimz,
-                                   __global const int* indices,
-                                   __global const float* weights,
-                                   __global const float* grid,
-                                   __global float* levels)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-        }
-    }
-}
-
-
-__kernel void speciesRates(const int numSignals,
-                           const int numSpecies,
-                           const float gridVolume,
-                           __global const float* areas,
-                           __global const float* volumes,
-                           __global const int* celltype,
-                           __global const float* cellSpecLevels,
-                           __global const float* cellSignalLevels,
-                           __global float* specRate)
-{
-    int id = get_global_id(0);
-    int sigbase = id*numSignals;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-    __global float* rates = specRate+specbase;
-
-    userSpecRates(gridVolume, areas[id], volumes[id], cellType, rates, species, signals);
-}
-
-
-
-__kernel void signalRates(const int numSignals,
-                          const int numSpecies,
-                          const float gridVolume,
-                          __global const float* areas,
-                          __global const float* volumes,
-                          __global const int* celltype,
-                          __global const float* cellSpecLevels,
-                          __global const float* cellSignalLevels,
-                          __global const float* weights,
-                          __global float* sigRates)
-{
-    int id = get_global_id(0);
-    int base = id*8*numSignals;
-    int wbase = id*8;
-    int sigbase = id*numSignals;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-
-    float cellSigRates[%(nSignals)i];
-    userSignalRates(gridVolume, areas[id], volumes[id], cellType, cellSigRates, species, signals);
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        float wt = weights[wbase+i];
-        int gbase = base + numSignals*i;
-        __global float* rates = sigRates+gbase;
-
-        // put cells signal rate
-        for (int s=0; s<numSignals; s++) {
-            rates[s] = cellSigRates[s]*wt;
-        }
-    }
-}
-
-
-
-__kernel void diluteSpecs(const int numSpecies,
-                          __global const float* oldVols,
-                          __global const float* vols,
-                          __global float* specRates)
-{
-  int id = get_global_id(0);
-  float factor = oldVols[id]/vols[id];
-  int base = id*numSpecies;
-  for (int i = 0; i < numSpecies; i++) {
-    specRates[base+i] = specRates[base+i]*factor;
-  }
-}
-
-__kernel void speciesDT(const int numSpecies,
-                        __global float* cellSpecLevels,
-                        __global const float* specRate,
-                        const float dt)
-{
-  int id = get_global_id(0); 
-  int specbase = id*numSpecies;
-
-  for(int i=0; i < numSpecies; i++)
-  { 
-    cellSpecLevels[specbase+i] += dt * specRate[specbase+i];
-  }
-}
-
-__kernel void setCellSigImplicit(__global const int* indices,
-                                 __global const float* weights,
-                                 __global const float* grid,
-                                 __global const float* transport,
-                                 __global float* levels,
-                                 const int numSignals,
-                                 const int gridTotalSize,
-                                 const int gridDimx,
-                                 const int gridDimy,
-                                 const int gridDimz)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals*2;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-        levels[lvlbase+s+numSignals] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-            levels[lvlbase+s+numSignals] += transport[gsidx]*wt;
-        }
-    }
-}
-
-__kernel void setCellSignalsImplicit(const int numSignals,
-                                     const int gridTotalSize,
-                                     const int gridDimx,
-                                     const int gridDimy,
-                                     const int gridDimz,
-                                     __global const int* indices,
-                                     __global const float* weights,
-                                     __global const float* grid,
-                                     __global const float* transport,
-                                     __global float* levels)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals*2;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-        levels[lvlbase+s+numSignals] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-            levels[lvlbase+s+numSignals] += transport[gsidx]*wt;
-        }
-    }
-}
-
-__kernel void speciesRatesImplicit(const int numSignals,
-                                   const int numSpecies,
-                                   const float gridVolume,
-                                   __global const float* areas,
-                                   __global const float* volumes,
-                                   __global const int* celltype,
-                                   __global float* cellSpecLevels,
-                                   __global const float* cellSignalLevels,
-                                   __global float* specRate)
-{
-    int id = get_global_id(0);
-    int sigbase = id*numSignals*2;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-    __global float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-    __global float* rates = specRate+specbase;
-
-    userSpecRates(gridVolume, areas[id], volumes[id], cellType, rates, species, signals);
-}
-
-__kernel void signalRatesImplicit(const int numSignals,
-                          const int numSpecies,
-                          const float gridVolume,
-                          __global const float* areas,
-                          __global const float* volumes,
-                          __global const int* celltype,
-                          __global const float* cellSpecLevels,
-                          __global const float* cellSignalLevels,
-                          __global const float* weights,
-                          __global float* sigRates)
-{
-    int id = get_global_id(0);
-    int base = id*8*numSignals;
-    int wbase = id*8;
-    int sigbase = id*numSignals*2;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-
-    float cellSigRates[%(nSignals)i];
-    userSignalRates(gridVolume, areas[id], volumes[id], cellType, cellSigRates, species, signals);
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        float wt = weights[wbase+i];
-        int gbase = base + numSignals*i;
-        __global float* rates = sigRates+gbase;
-
-        // put cells signal rate
-        for (int s=0; s<numSignals; s++) {
-            rates[s] = cellSigRates[s]*wt;
-        }
-    }
-}
diff --git a/CellModeller/Integration/CLCrankNicIntegrator.py b/CellModeller/Integration/CLCrankNicIntegrator.py
deleted file mode 100644
index 39ee8655..00000000
--- a/CellModeller/Integration/CLCrankNicIntegrator.py
+++ /dev/null
@@ -1,376 +0,0 @@
-import numpy
-import scipy.integrate.odepack
-from scipy.sparse.linalg import LinearOperator
-from scipy.ndimage.filters import convolve
-from scipy.sparse.linalg import gmres
-import pyopencl as cl
-import pyopencl.array as cl_array
-from pyopencl.array import vec
-import math
-from functools import reduce
-
-
-def unique_stable(ar, return_index=False, return_inverse=False):
-    """
-    Find the unique elements of an array.
-
-    Copied from numpy's unique, but uses stable sorts.
-    """
-    import numpy as np
-    try:
-        ar = ar.flatten()
-    except AttributeError:
-        if not return_inverse and not return_index:
-            items = sorted(set(ar)) # sorted is stable
-            return np.asarray(items)
-        else:
-            ar = np.asanyarray(ar).flatten()
-
-    if ar.size == 0:
-        if return_inverse and return_index:
-            return ar, np.empty(0, np.bool), np.empty(0, np.bool)
-        elif return_inverse or return_index:
-            return ar, np.empty(0, np.bool)
-        else:
-            return ar
-
-    if return_inverse or return_index:
-        perm = ar.argsort(kind='mergesort') # using mergesort for stability
-        aux = ar[perm]
-        flag = np.concatenate(([True], aux[1:] != aux[:-1]))
-        if return_inverse:
-            iflag = np.cumsum(flag) - 1
-            iperm = perm.argsort(kind='mergesort') # using mergesort for stability
-            if return_index:
-                return aux[flag], perm[flag], iflag[iperm]
-            else:
-                return aux[flag], iflag[iperm]
-        else:
-            return aux[flag], perm[flag]
-
-    else:
-        ar.sort(kind='mergesort')
-        flag = np.concatenate(([True], ar[1:] != ar[:-1]))
-        return ar[flag]
-
-
-
-
-class CLCrankNicIntegrator:
-    def __init__(self, sim, nSignals, nSpecies, maxCells, sig, greensThreshold=1e-12, regul=None, boundcond='constant'):
-        self.sim = sim
-        self.dt = self.sim.dt
-        self.greensThreshold = greensThreshold
-        self.regul = regul
-        self.boundcond = boundcond
-
-        self.cellStates = sim.cellStates
-        self.nCells = len(self.cellStates)
-
-        self.nSpecies = nSpecies
-        self.nSignals = nSignals
-        self.maxCells = maxCells
-
-        # The signalling model, must be a grid based thing
-        self.signalling = sig
-        self.gridDim = sig.gridDim
-        self.gridTotalSize = reduce(lambda x, y: x * y, self.gridDim[1:4])
-
-        self.signalDataLen = self.signalling.dataLen()
-        self.maxSpecDataLen = self.maxCells*nSpecies
-        # no need to scale up signal storage
-        storageLen = self.maxSpecDataLen + self.signalDataLen
-
-        # These arrays store the level and rate of signals and species
-        # in a contiguous form. The first part is the signals,
-        # then the cell species
-        # To avoid reallocation, create enough space for maxCells
-
-        self.levels = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.rates = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.makeViews()
-
-        # Set initial distribution of signals
-        if self.signalling.initLevels:
-            for s in range(self.nSignals):
-                grid = self.signalLevel.reshape(self.gridDim)
-                grid[s,:] = self.signalling.initLevels[s]
-
-        self.computeGreensFunc()
-        (self.context, self.queue) = self.sim.getOpenCL()
-        self.initArrays()
-        #self.initKernels()
-
-        # set the species for existing states to views of the levels array
-        cs = self.cellStates
-        for id,c in list(cs.items()):
-            c.species = self.specLevel[c.idx,:]
-
-
-    def makeViews(self):
-        # Level views (references) to the data
-        self.signalLevel = self.levels[0:self.signalDataLen]
-        self.specLevel = self.levels[self.signalDataLen:self.signalDataLen+self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-        # Rate views (references) to the data
-        self.signalRate = self.rates[0:self.signalDataLen]
-        self.specRate = self.rates[self.signalDataLen:self.signalDataLen+self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-
-    def CNOperator(self, v):
-        # Transport operator
-        self.signalling.transportRates(self.signalRate, v, mode='greens')
-        # Return (I-hT/2)v, where T is transport operator, h=dt
-        return v - 0.5*self.dt*self.signalRate
-
-    def computeGreensFunc(self):
-        L = LinearOperator((self.signalDataLen,self.signalDataLen), matvec=self.CNOperator, dtype=numpy.float32)
-        rhs = numpy.zeros(self.gridDim, dtype=numpy.float32)
-        pos = numpy.array(self.signalling.gridOrig,dtype=numpy.float32) + 0.5*numpy.array(self.gridDim[1:],dtype=numpy.float32)*numpy.array(self.signalling.gridSize,dtype=numpy.float32)
-        #idx = ( math.floor(self.gridDim[1]*0.5), math.floor(self.gridDim[2]*0.5), math.floor(self.gridDim[3]*0.5) )
-        #for s in xrange(self.nSignals):
-        #    rhs[(s,)+idx] = 1.0 # ~delta function in each signal
-        self.signalling.interpAddToGrid(pos, numpy.ones(self.nSignals), rhs)
-        (self.greensFunc, info) = gmres(L,rhs.reshape(self.signalDataLen)) # Solve impulse response = greens func
-        # Take only bounding box of region where G > threshold
-        self.greensFunc.shape = self.gridDim
-        inds = numpy.transpose(numpy.nonzero(self.greensFunc.reshape(self.gridDim)>self.greensThreshold))
-        self.greensFunc = self.greensFunc[:, min(inds[:,1]):max(inds[:,1])+1, \
-                                            min(inds[:,2]):max(inds[:,2])+1, \
-                                            min(inds[:,3]):max(inds[:,3])+1]
-        print("Truncated Green's function size is " + str(self.greensFunc.shape))
-
-
-    def addCell(self, cellState):
-        idx = cellState.idx
-        self.nCells += 1
-        cellState.species = self.specLevel[idx,:]
-        cellState.signals = self.cellSigLevels[idx,:]
-        self.celltype[idx] = numpy.int32(cellState.cellType)
-
-    def divide(self, pState, d1State, d2State):
-        # Simulator should have organised indexing:
-
-        # Set up slicing of levels for each daughter and copy parent levels
-        d1idx = d1State.idx
-        self.nCells += 1
-        self.specLevel[d1idx,:] = pState.species
-        self.cellSigLevels[d1idx,:] = pState.signals
-        d1State.species = self.specLevel[d1idx,:]
-        d1State.signals = self.cellSigLevels[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        self.cellSigLevels[d2idx,:] = pState.signals
-        d1State.species = self.specLevel[d1idx,:]
-        d1State.signals = self.cellSigLevels[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        d2State.species = self.specLevel[d2idx,:]
-        d2State.signals = self.cellSigLevels[d2idx,:]
-        self.celltype[d2idx] = d2State.cellType
-
-    def setSignalling(self, sig):
-        self.signalling = sig
-
-    def setRegulator(self, regul):
-        self.regul = regul
-        # Use regulation module to setup kernels
-        self.initKernels()
-
-    def initArrays(self):
-        self.gridIdxs = numpy.zeros((self.maxCells,8),dtype=numpy.int32)
-        self.gridIdxs_dev = cl_array.zeros(self.queue, (self.maxCells,8),dtype=numpy.int32)
-        self.triWts = numpy.zeros((self.maxCells,8),dtype=numpy.float32)
-        self.triWts_dev = cl_array.zeros(self.queue, (self.maxCells,8),dtype=numpy.float32)
-        self.cellSigRates = numpy.zeros((self.maxCells,8,self.nSignals),dtype=numpy.float32)
-        self.cellSigRates_dev = cl_array.zeros(self.queue, (self.maxCells,8,self.nSignals),dtype=numpy.float32)
-        self.cellSigLevels = numpy.zeros((self.maxCells,self.nSignals),dtype=numpy.float32)
-        self.cellSigLevels_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSignals),dtype=numpy.float32)
-        self.signalLevel_dev = cl_array.zeros(self.queue, self.gridDim,dtype=numpy.float32)
-        self.specLevel_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-        self.specRate_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-
-        self.celltype = numpy.zeros((self.maxCells,),dtype=numpy.int32)
-        self.celltype_dev = cl_array.zeros(self.queue, (self.maxCells,),dtype=numpy.int32)
-        #self.pos_dev = cl_array.zeros(self.queue, (self.maxCells,), dtype=vec.float4)
-
-    def initKernels(self):
-        # Get user defined kernel source
-        specRateKernel = self.regul.specRateCL()
-        sigRateKernel = self.regul.sigRateCL()
-        #kernel_src = open('CellModeller/Integration/CLCrankNicIntegrator.cl', 'r').read()
-        from pkg_resources import resource_string
-        kernel_src = resource_string(__name__, 'CLCrankNicIntegrator.cl').decode()
-        # substitute user defined kernel code, and number of signals
-        kernel_src = kernel_src % {'sigKernel': sigRateKernel,
-                                   'specKernel': specRateKernel,
-                                   'nSignals': self.nSignals}
-        self.program = cl.Program(self.context, kernel_src).build(cache_dir=False)
-
-
-    def dydt(self):
-        # get cell grid idxs and weights
-        self.program.gridCells(self.queue, (self.nCells,), None,
-                numpy.float32(self.signalling.gridOrig[0]),
-                numpy.float32(self.signalling.gridOrig[1]),
-                numpy.float32(self.signalling.gridOrig[2]),
-                numpy.float32(self.signalling.gridSize[0]),
-                numpy.float32(self.signalling.gridSize[1]),
-                numpy.float32(self.signalling.gridSize[2]),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.sim.phys.cell_centers_dev.data,
-                self.triWts_dev.data,
-                self.gridIdxs_dev.data).wait()
-        self.gridIdxs[:] = self.gridIdxs_dev.get()
-
-        # put local cell signal levels in array
-        self.signalLevel_dev.set(self.signalLevel)
-        self.program.setCellSignals(self.queue, (self.nCells,), None,
-                numpy.int32(self.nSignals),
-                numpy.int32(self.gridTotalSize),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.gridIdxs_dev.data,
-                self.triWts_dev.data,
-                self.signalLevel_dev.data,
-                self.cellSigLevels_dev.data).wait()
-
-        self.celltype_dev.set(self.celltype)
-        # compute species rates
-        self.specLevel_dev.set(self.specLevel)
-        self.program.speciesRates(self.queue, (self.nCells,), None,
-                                  numpy.int32(self.nSignals),
-                                  numpy.int32(self.nSpecies),
-                                  numpy.float32(self.sim.sig.dV),
-                                  self.sim.phys.cell_areas_dev.data,
-                                  self.sim.phys.cell_vols_dev.data,
-                                  self.celltype_dev.data,
-                                  self.specLevel_dev.data,
-                                  self.cellSigLevels_dev.data,
-                                  self.specRate_dev.data).wait()
-        self.specRate[:] = self.specRate_dev.get()
-
-        # compute signal rates, weighted for grid nodes
-        self.program.signalRates(self.queue, (self.nCells,), None,
-                                 numpy.int32(self.nSignals),
-                                 numpy.int32(self.nSpecies),
-                                 numpy.float32(self.sim.sig.dV),
-                                 self.sim.phys.cell_areas_dev.data,
-                                 self.sim.phys.cell_vols_dev.data,
-                                 self.celltype_dev.data,
-                                 self.specLevel_dev.data,
-                                 self.cellSigLevels_dev.data,
-                                 self.triWts_dev.data,
-                                 self.cellSigRates_dev.data).wait()
-        self.cellSigRates[:] = self.cellSigRates_dev.get()
-
-        # Put cell signal production into diffusion grid:
-        #  - Using a convoluted way to reduce by key to get cell prod rates
-        #  into grid
-        gridIdxs = self.gridIdxs[0:self.nCells,:].reshape(self.nCells*8)
-        order = numpy.argsort(gridIdxs)
-        gridIdxs = gridIdxs[order]
-        cellSigRates = self.cellSigRates[0:self.nCells,:,:].reshape((self.nCells*8,self.nSignals))
-        cellSigRates = cellSigRates[order]
-        cellSigRates.cumsum(axis=0, out=cellSigRates)
-        (u,index) = unique_stable(gridIdxs[::-1],True) # first occurance of each key in reverse keys
-        index = len(gridIdxs)-1-index # last occurance in forward keys
-        cellSigRates = cellSigRates[index]
-        idxs = gridIdxs[index]
-        cellSigRates[1:] = cellSigRates[1:] - cellSigRates[:-1] # difference in cumsums is sum for each index
-
-
-        signalRate = self.signalRate.reshape((self.nSignals,self.gridDim[1]*self.gridDim[2]*self.gridDim[3]))
-        signalRate[:,idxs] += cellSigRates.transpose() # add into diffusion grid
-
-
-    def step(self, dt):
-        if dt!=self.dt:
-            print("I can only integrate at fixed dt!")
-            return
-
-        self.nCells = len(self.cellStates)
-        # Check we have enough space allocated
-        try:
-            s = self.specLevel[self.nCells-1]
-        except IndexError:
-            # Could resize here, then would have to rebuild views
-            print("Number of cells exceeded " \
-                    + self.__class__.__name__ \
-                    + "::maxCells (" + self.maxCells + ")")
-
-        self.dataLen = self.signalDataLen + self.nCells*self.nSpecies
-
-        # growth dilution of species
-        self.diluteSpecies()
-
-        # Do u += h(T(u_t)/2 + hf(u_t)) where T=transport operator, f(u_t) is 
-        # our regulation function dydt
-        self.signalling.transportRates(self.signalRate, self.signalLevel, self.boundcond)
-        self.signalRate *= 0.5
-        self.dydt()
-        self.rates[0:self.dataLen] *= self.dt
-        self.levels[0:self.dataLen] += self.rates[0:self.dataLen]
-
-        # Convolve (I+hT/2)u_t + f(u_t) with the Greens func to get u_{t+1}
-        sigLvl = self.signalLevel.reshape(self.gridDim)
-        convolve(sigLvl, self.greensFunc, mode=self.boundcond)
-
-        # put local cell signal levels in array
-        self.signalLevel_dev.set(self.signalLevel)
-        self.program.setCellSignals(self.queue, (self.nCells,), None,
-                numpy.int32(self.nSignals),
-                numpy.int32(self.gridTotalSize),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.gridIdxs_dev.data,
-                self.triWts_dev.data,
-                self.signalLevel_dev.data,
-                self.cellSigLevels_dev.data).wait()
-        self.cellSigLevels[:] = self.cellSigLevels_dev.get()
-
-# Put the final signal levels into the cell states
-#        states = self.cellStates
-#        for (id,c) in states.items():
-#            if self.signalling:
-#                c.signals = self.signalling.signals(c, self.signalLevel)
-
-        # Update cellType array
-        for (id,c) in list(self.cellStates.items()):
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-        self.celltype_dev.set(self.celltype)
-
-
-    def diluteSpecies(self):
-        self.specLevel_dev.set(self.specLevel)
-        self.program.diluteSpecs(self.queue, (self.nCells,), None,
-                                 numpy.int32(self.nSpecies),
-                                 self.sim.phys.cell_old_vols_dev.data,
-                                 self.sim.phys.cell_vols_dev.data,
-                                 self.specLevel_dev.data).wait()
-        self.specLevel[:] = self.specLevel_dev.get()
-
-    def setLevels(self, SSLevel, cellSigData):
-        self.cellStates = self.sim.cellStates
-        self.levels = SSLevel
-        self.makeViews()
-        self.cellSigLevels = cellSigData
-        self.signalLevel_dev.set(self.signalLevel)
-        self.specLevel_dev.set(self.specLevel)
-        self.cellSigLevels_dev.set(self.cellSigLevels)
-        cs = self.cellStates
-        for id,c in list(cs.items()): #make sure everything is correct here
-            c.species = self.specLevel[c.idx,:]
-            c.signals = self.cellSigLevels[c.idx,:]
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-        self.celltype_dev.set(self.celltype)
-
-
diff --git a/CellModeller/Integration/CLEulerIntegrator.cl b/CellModeller/Integration/CLEulerIntegrator.cl
deleted file mode 100644
index c38665c7..00000000
--- a/CellModeller/Integration/CLEulerIntegrator.cl
+++ /dev/null
@@ -1,35 +0,0 @@
-void userSpecRates(float4 pos, float area, float volume, const int cellType, const float effGrowth, __global float* rates, __global const float* species)
-{
-    %s
-}
-
-__kernel void speciesRates(const int numSpecies,
-                           __global const float4* pos,
-                           __global const float* areas,
-                           __global const float* volumes,
-                           __global const int* celltype,
-                           __global const float* effGrow,
-                           __global const float* cellSpecLevels,
-                           __global float* specRate)
-{
-    int id = get_global_id(0);
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-    __global const float* species = cellSpecLevels+specbase;
-    __global float* rates = specRate+specbase;
-
-    userSpecRates(pos[id], areas[id], volumes[id], cellType, effGrow[id], rates, species);
-}
-
-__kernel void diluteSpecs(const int numSpecies,
-                          __global const float* oldVols,
-                          __global const float* vols,
-                          __global float* specRates)
-{
-  int id = get_global_id(0);
-  float factor = oldVols[id]/vols[id];
-  int base = id*numSpecies;
-  for (int i = 0; i < numSpecies; i++) {
-    specRates[base+i] = specRates[base+i]*factor;
-  }
-}
diff --git a/CellModeller/Integration/CLEulerIntegrator.py b/CellModeller/Integration/CLEulerIntegrator.py
deleted file mode 100644
index 3db4d153..00000000
--- a/CellModeller/Integration/CLEulerIntegrator.py
+++ /dev/null
@@ -1,176 +0,0 @@
-import numpy
-import scipy.integrate.odepack
-import pyopencl as cl
-import pyopencl.array as cl_array
-from pyopencl.array import vec
-import math
-
-class CLEulerIntegrator:
-    #Simple forward Euler integration of species rates
-    
-    def __init__(self, sim, nSpecies, maxCells, regul=None):
-        self.sim = sim
-        self.dt = self.sim.dt
-        self.regul = regul
-
-        self.cellStates = sim.cellStates
-        self.nCells = len(self.cellStates)
-
-        self.nSpecies = nSpecies
-        self.maxCells = maxCells
-
-        self.maxSpecDataLen = self.maxCells*nSpecies
-        # no need to scale up signal storage
-        storageLen = self.maxSpecDataLen
-
-        # These arrays store the level and rate of signals and species
-        # in a contiguous form. 
-        # To avoid reallocation, create enough space for maxCells
-        self.levels = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.rates = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.makeViews()
-
-        (self.context, self.queue) = self.sim.getOpenCL()
-        self.initArrays()
-        #self.initKernels()
-
-        # set the species for existing states to views of the levels array
-        cs = self.cellStates
-        for id,c in list(cs.items()):
-            c.species = self.specLevel[c.idx,:]
-
-
-    def makeViews(self):
-        # Level views (references) to the data
-        self.specLevel = self.levels[0:self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-        # Rate views (references) to the data
-        self.specRate = self.rates[0:self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-
-    def addCell(self, cellState):
-        idx = cellState.idx
-        self.nCells += 1
-        cellState.species = self.specLevel[idx,:]
-        self.celltype[idx] = numpy.int32(cellState.cellType)
-
-    def divide(self, pState, d1State, d2State):
-        # Simulator should have organised indexing:
-
-        # Set up slicing of levels for each daughter and copy parent levels
-        d1idx = d1State.idx
-        self.nCells += 1
-        self.specLevel[d1idx,:] = pState.species
-        d1State.species = self.specLevel[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        d1State.species = self.specLevel[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        d2State.species = self.specLevel[d2idx,:]
-        self.celltype[d2idx] = d2State.cellType
-
-    def setRegulator(self, regul):
-        self.regul = regul
-        # Use regulation module to setup kernels
-        self.initKernels()
-
-    def initArrays(self):
-        self.specLevel_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-        self.specRate_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-
-        self.celltype = numpy.zeros((self.maxCells,), dtype=numpy.int32)
-        self.celltype_dev = cl_array.zeros(self.queue, (self.maxCells,),dtype=numpy.int32)
-    
-        self.effgrow = numpy.zeros((self.maxCells,), dtype=numpy.float32)
-        self.effgrow_dev = cl_array.zeros(self.queue, (self.maxCells,), dtype=numpy.float32)
-    
-        #self.pos_dev = cl_array.zeros(self.queue, (self.maxCells,), dtype=vec.float4)
-
-    def initKernels(self):
-        # Get user defined kernel source
-        specRateKernel = self.regul.specRateCL()
-        from pkg_resources import resource_string
-        kernel_src = resource_string(__name__, 'CLEulerIntegrator.cl').decode()
-        # substitute user defined kernel code, and number of signals
-        kernel_src = kernel_src%(specRateKernel)
-        self.program = cl.Program(self.context, kernel_src).build(cache_dir=False)
-
-
-    def dydt(self):
-        self.celltype_dev.set(self.celltype)
-        # compute species rates
-        self.specLevel_dev.set(self.specLevel)
-        self.program.speciesRates(self.queue, (self.nCells,), None,
-                                  numpy.int32(self.nSpecies),
-                                  self.sim.phys.cell_centers_dev.data,
-                                  self.sim.phys.cell_areas_dev.data,
-                                  self.sim.phys.cell_vols_dev.data,
-                                  self.celltype_dev.data,
-                                  self.effgrow_dev.data,
-                                  self.specLevel_dev.data,
-                                  self.specRate_dev.data).wait()
-        self.specRate[:] = self.specRate_dev.get()
-
-    def step(self, dt):
-        if dt!=self.dt:
-            print("I can only integrate at fixed dt!")
-            return
-
-        self.nCells = len(self.cellStates)
-        # Check we have enough space allocated
-        try:
-            s = self.specLevel[self.nCells-1]
-        except IndexError:
-            # Could resize here, then would have to rebuild views
-            print("Number of cells exceeded " \
-                    + self.__class__.__name__ \
-                    + "::maxCells (" + self.maxCells + ")")
-
-        self.dataLen = self.nCells*self.nSpecies
-
-        self.cellStates = self.sim.cellStates
-        cs = self.cellStates
-        for id,c in list(cs.items()):
-            self.effgrow[c.idx] = numpy.float32(c.effGrowth)
-        self.effgrow_dev.set(self.effgrow)
-
-        # growth dilution of species
-        self.diluteSpecies()
-
-        self.dydt()
-        self.rates[0:self.dataLen] *= self.dt
-        self.levels[0:self.dataLen] += self.rates[0:self.dataLen]
-
-
-# Put the final signal levels into the cell states
-#        states = self.cellStates
-#        for (id,c) in states.items():
-#            if self.signalling:
-#                c.signals = self.signalling.signals(c, self.signalLevel)
-
-    def setLevels(self, specLevel):
-        self.cellStates = self.sim.cellStates
-        self.levels = specLevel
-        self.makeViews()
-        self.specLevel_dev.set(self.specLevel)
-        cs = self.cellStates
-        for id,c in list(cs.items()):
-            c.species = self.specLevel[c.idx,:]
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-        self.celltype_dev.set(self.celltype)
-
-
-    def diluteSpecies(self):
-        self.specLevel_dev.set(self.specLevel)
-        self.program.diluteSpecs(self.queue, (self.nCells,), None,
-                                 numpy.int32(self.nSpecies),
-                                 self.sim.phys.cell_old_vols_dev.data,
-                                 self.sim.phys.cell_vols_dev.data,
-                                 self.specLevel_dev.data).wait()
-        self.specLevel[:] = self.specLevel_dev.get()
-
diff --git a/CellModeller/Integration/CLEulerSigIntegrator.cl b/CellModeller/Integration/CLEulerSigIntegrator.cl
deleted file mode 100644
index f14f3b2c..00000000
--- a/CellModeller/Integration/CLEulerSigIntegrator.cl
+++ /dev/null
@@ -1,329 +0,0 @@
-
-
-void userSignalRates(float gridVolume, float area, float volume, const int cellType, float* rates, __global const float* species, __global const float* signals)
-{
-    %(sigKernel)s
-}
-void userSpecRates(float gridVolume, float area, float volume, const int cellType, __global float* rates, __global float* species, __global const float* signals)
-{
-    %(specKernel)s
-}
-
-__kernel void gridCells(const float gridOrigx,
-                        const float gridOrigy,
-                        const float gridOrigz,
-                        const float gridSizex,
-                        const float gridSizey,
-                        const float gridSizez,
-                        const int gridDimx,
-                        const int gridDimy,
-                        const int gridDimz,
-                        __global const float4* pos,
-                        __global float* weights,
-                        __global int* indices)
-{
-    int id = get_global_id(0);
-    int base = id*8;
-    int4 idx = 0;
-    float4 p = pos[id];
-    float ix = floor((p.x - gridOrigx) / gridSizex);
-    float iy = floor((p.y - gridOrigy) / gridSizey);
-    float iz = floor((p.z - gridOrigz) / gridSizez);
-    idx.x = (int)(ix);
-    idx.y = (int)(iy);
-    idx.z = (int)(iz);
-
-
-
-    // Indices of 8 nearest grid nodes
-    for (int i=0; i<2; i++) {
-        for (int j=0; j<2; j++) {
-            for (int k=0; k<2; k++) {
-                int4 offset = {i,j,k,0};
-                int4 ind = idx + offset;
-                // Is the neighbourhood node in the grid?
-                int inGrid = (int)(ind.x>=0 && ind.x<gridDimx && ind.y>=0 && ind.y<gridDimy && ind.z>=0 && ind.z<gridDimz);
-                int flatidx = ind.z + ind.y*gridDimz + ind.x*gridDimz*gridDimy;
-                // if in grid put index, else zero
-                indices[base + k + j*2 + i*4] = inGrid * flatidx;
-            }
-        }
-    }
-
-    // Trilinear weights on 8 corner nodes
-    float dx = (p.x - gridOrigx) / gridSizex;
-    dx -= floor(dx);
-    float dy = (p.y - gridOrigy) / gridSizey;
-    dy -= floor(dy);
-    float dz = (p.z - gridOrigz) / gridSizez;
-    dz -= floor(dz);
-
-    //  Tedious bounds checking on neighbourhood to avoid wrapping and overflow...
-    //    Set weight to zero if off grid (index will also be zero)
-    
-   weights[base+0] /*[0,0,0]*/ = (float)(ix>=0 && ix<gridDimx && iy>=0 && iy<gridDimy && iz>=0 && iz<gridDimz) *  (1.f-dx)*(1.f-dy)*(1.f-dz);
-   weights[base+1] /*[0,0,1]*/ = (float)(ix>=0 && ix<gridDimx && iy>=0 && iy<gridDimy && iz>=-1 && iz<gridDimz-1) * (1.f-dx)*(1.f-dy)*dz;
-   weights[base+2] /*[0,1,0]*/ = (float)(ix>=0 && ix<gridDimx && iy>=-1 && iy<gridDimy-1 && iz>=0 && iz<gridDimz) * (1.f-dx)*dy*(1.f-dz);
-   weights[base+3] /*[0,1,1]*/ = (float)(ix>=0 && ix<gridDimx && iy>=-1 && iy<gridDimy-1 && iz>=-1 && iz<gridDimz-1) * (1.f-dx)*dy*dz;
-   weights[base+4] /*[1,0,0]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=0 && iy<gridDimy && iz>=0 && iz<gridDimz) * dx*(1.f-dy)*(1.f-dz);
-   weights[base+5] /*[1,0,1]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=0 && iy<gridDimy && iz>=-1 && iz<gridDimz-1) * dx*(1.f-dy)*dz;
-   weights[base+6] /*[1,1,0]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=-1 && iy<gridDimy-1 && iz>=0 && iz<gridDimz) * dx*dy*(1.f-dz);
-   weights[base+7] /*[1,1,1]*/ = (float)(ix>=-1 && ix<gridDimx-1 && iy>=-1 && iy<gridDimy-1 && iz>=-1 && iz<gridDimz-1) * dx*dy*dz;
-    
-}
-
-__kernel void setCellSignals(const int numSignals,
-                                    const int gridTotalSize,
-                                    const int gridDimx,
-                                    const int gridDimy,
-                                    const int gridDimz,
-                                   __global const int* indices,
-                                   __global const float* weights,
-                                   __global const float* grid,
-                                   __global float* levels)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-        }
-    }
-}
-
-
-__kernel void speciesRates(const int numSignals,
-                           const int numSpecies,
-                           const float gridVolume,
-                           __global const float* areas,
-                           __global const float* volumes,
-                           __global const int* celltype,
-                           __global const float* cellSpecLevels,
-                           __global const float* cellSignalLevels,
-                           __global float* specRate)
-{
-    int id = get_global_id(0);
-    int sigbase = id*numSignals;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-    __global float* rates = specRate+specbase;
-
-    userSpecRates(gridVolume, areas[id], volumes[id], cellType, rates, species, signals);
-}
-
-
-
-__kernel void signalRates(const int numSignals,
-                          const int numSpecies,
-                          const float gridVolume,
-                          __global const float* areas,
-                          __global const float* volumes,
-                          __global const int* celltype,
-                          __global const float* cellSpecLevels,
-                          __global const float* cellSignalLevels,
-                          __global const float* weights,
-                          __global float* sigRates)
-{
-    int id = get_global_id(0);
-    int base = id*8*numSignals;
-    int wbase = id*8;
-    int sigbase = id*numSignals;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-
-    float cellSigRates[%(nSignals)i];
-    userSignalRates(gridVolume, areas[id], volumes[id], cellType, cellSigRates, species, signals);
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        float wt = weights[wbase+i];
-        int gbase = base + numSignals*i;
-        __global float* rates = sigRates+gbase;
-
-        // put cells signal rate
-        for (int s=0; s<numSignals; s++) {
-            rates[s] = cellSigRates[s]*wt;
-        }
-    }
-}
-
-
-
-__kernel void diluteSpecs(const int numSpecies,
-                          __global const float* oldVols,
-                          __global const float* vols,
-                          __global float* specRates)
-{
-  int id = get_global_id(0);
-  float factor = oldVols[id]/vols[id];
-  int base = id*numSpecies;
-  for (int i = 0; i < numSpecies; i++) {
-    specRates[base+i] = specRates[base+i]*factor;
-  }
-}
-
-__kernel void speciesDT(const int numSpecies,
-                        __global float* cellSpecLevels,
-                        __global const float* specRate,
-                        const float dt)
-{
-  int id = get_global_id(0); 
-  int specbase = id*numSpecies;
-
-  for(int i=0; i < numSpecies; i++)
-  { 
-    cellSpecLevels[specbase+i] += dt * specRate[specbase+i];
-  }
-}
-
-__kernel void setCellSigImplicit(__global const int* indices,
-                                 __global const float* weights,
-                                 __global const float* grid,
-                                 __global const float* transport,
-                                 __global float* levels,
-                                 const int numSignals,
-                                 const int gridTotalSize,
-                                 const int gridDimx,
-                                 const int gridDimy,
-                                 const int gridDimz)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals*2;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-        levels[lvlbase+s+numSignals] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-            levels[lvlbase+s+numSignals] += transport[gsidx]*wt;
-        }
-    }
-}
-
-__kernel void setCellSignalsImplicit(const int numSignals,
-                                     const int gridTotalSize,
-                                     const int gridDimx,
-                                     const int gridDimy,
-                                     const int gridDimz,
-                                     __global const int* indices,
-                                     __global const float* weights,
-                                     __global const float* grid,
-                                     __global const float* transport,
-                                     __global float* levels)
-{
-    int id = get_global_id(0);
-    int idxbase = id*8;
-    int lvlbase = id*numSignals*2;
-
-    for (int s=0; s<numSignals; s++) {
-        levels[lvlbase+s] = 0.0;
-        levels[lvlbase+s+numSignals] = 0.0;
-    }
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        int ind = idxbase + i;
-        int grid_idx = indices[ind];
-        int ix = grid_idx/(gridDimz*gridDimy);
-        int iy = (grid_idx - ix*gridDimz*gridDimy)/gridDimz;
-        int iz = grid_idx - ix*gridDimz*gridDimy - iy*gridDimz;
-        float wt = weights[ind];
-        // sum weighted grid values
-        for (int s=0; s<numSignals; s++) {
-            size_t gsidx = grid_idx + s*gridTotalSize;
-            levels[lvlbase+s] += grid[gsidx]*wt;
-            levels[lvlbase+s+numSignals] += transport[gsidx]*wt;
-        }
-    }
-}
-
-__kernel void speciesRatesImplicit(const int numSignals,
-                                   const int numSpecies,
-                                   const float gridVolume,
-                                   __global const float* areas,
-                                   __global const float* volumes,
-                                   __global const int* celltype,
-                                   __global float* cellSpecLevels,
-                                   __global const float* cellSignalLevels,
-                                   __global float* specRate)
-{
-    int id = get_global_id(0);
-    int sigbase = id*numSignals*2;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-    __global float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-    __global float* rates = specRate+specbase;
-
-    userSpecRates(gridVolume, areas[id], volumes[id], cellType, rates, species, signals);
-}
-
-__kernel void signalRatesImplicit(const int numSignals,
-                          const int numSpecies,
-                          const float gridVolume,
-                          __global const float* areas,
-                          __global const float* volumes,
-                          __global const int* celltype,
-                          __global const float* cellSpecLevels,
-                          __global const float* cellSignalLevels,
-                          __global const float* weights,
-                          __global float* sigRates)
-{
-    int id = get_global_id(0);
-    int base = id*8*numSignals;
-    int wbase = id*8;
-    int sigbase = id*numSignals*2;
-    int specbase = id*numSpecies;
-    int cellType = celltype[id];
-
-    __global const float* species = cellSpecLevels+specbase;
-    __global const float* signals = cellSignalLevels+sigbase;
-
-    float cellSigRates[%(nSignals)i];
-    userSignalRates(gridVolume, areas[id], volumes[id], cellType, cellSigRates, species, signals);
-
-    // Iterate over 8 nearest grid nodes
-    for (int i=0; i<8; i++) {
-        float wt = weights[wbase+i];
-        int gbase = base + numSignals*i;
-        __global float* rates = sigRates+gbase;
-
-        // put cells signal rate
-        for (int s=0; s<numSignals; s++) {
-            rates[s] = cellSigRates[s]*wt;
-        }
-    }
-}
diff --git a/CellModeller/Integration/CLEulerSigIntegrator.py b/CellModeller/Integration/CLEulerSigIntegrator.py
deleted file mode 100644
index 39a972b9..00000000
--- a/CellModeller/Integration/CLEulerSigIntegrator.py
+++ /dev/null
@@ -1,351 +0,0 @@
-import numpy
-import scipy.integrate.odepack
-from scipy.sparse.linalg import LinearOperator
-from scipy.ndimage.filters import convolve
-from scipy.sparse.linalg import gmres
-import pyopencl as cl
-import pyopencl.array as cl_array
-from pyopencl.array import vec
-import math
-from functools import reduce
-
-
-def unique_stable(ar, return_index=False, return_inverse=False):
-    """
-    Find the unique elements of an array.
-
-    Copied from numpy's unique, but uses stable sorts.
-    """
-    import numpy as np
-    try:
-        ar = ar.flatten()
-    except AttributeError:
-        if not return_inverse and not return_index:
-            items = sorted(set(ar)) # sorted is stable
-            return np.asarray(items)
-        else:
-            ar = np.asanyarray(ar).flatten()
-
-    if ar.size == 0:
-        if return_inverse and return_index:
-            return ar, np.empty(0, np.bool), np.empty(0, np.bool)
-        elif return_inverse or return_index:
-            return ar, np.empty(0, np.bool)
-        else:
-            return ar
-
-    if return_inverse or return_index:
-        perm = ar.argsort(kind='mergesort') # using mergesort for stability
-        aux = ar[perm]
-        flag = np.concatenate(([True], aux[1:] != aux[:-1]))
-        if return_inverse:
-            iflag = np.cumsum(flag) - 1
-            iperm = perm.argsort(kind='mergesort') # using mergesort for stability
-            if return_index:
-                return aux[flag], perm[flag], iflag[iperm]
-            else:
-                return aux[flag], iflag[iperm]
-        else:
-            return aux[flag], perm[flag]
-
-    else:
-        ar.sort(kind='mergesort')
-        flag = np.concatenate(([True], ar[1:] != ar[:-1]))
-        return ar[flag]
-
-
-
-
-class CLEulerSigIntegrator:
-    def __init__(self, sim, nSignals, nSpecies, maxCells, sig, regul=None, boundcond='constant'):
-        self.sim = sim
-        self.dt = self.sim.dt
-        self.regul = regul
-        self.boundcond = boundcond
-
-
-        self.nSpecies = nSpecies
-        self.nSignals = nSignals
-        self.maxCells = maxCells
-
-        # The signalling model, must be a grid based thing
-        self.signalling = sig
-        self.gridDim = sig.gridDim
-        self.gridTotalSize = reduce(lambda x, y: x * y, self.gridDim[1:4])
-
-        self.signalDataLen = self.signalling.dataLen()
-        self.maxSpecDataLen = self.maxCells*nSpecies
-        # no need to scale up signal storage
-        storageLen = self.maxSpecDataLen + self.signalDataLen
-
-        # These arrays store the level and rate of signals and species
-        # in a contiguous form. The first part is the signals,
-        # then the cell species
-        # To avoid reallocation, create enough space for maxCells
-
-        self.levels = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.rates = numpy.zeros(storageLen,dtype=numpy.float32)
-        self.makeViews()
-
-        # Set initial distribution of signals
-        if self.signalling.initLevels:
-            for s in range(self.nSignals):
-                grid = self.signalLevel.reshape(self.gridDim)
-                grid[s,:] = self.signalling.initLevels[s]
-
-        (self.context, self.queue) = self.sim.getOpenCL()
-        self.initArrays()
-        #self.initKernels()
-
-        self.setCellStates(sim.cellStates)
-        
-
-    def setCellStates(self, cs):
-        # set the species for existing states to views of the levels array
-        self.cellStates = cs
-        self.nCells = len(self.cellStates)
-        self.cellSigLevels[:,:] = 0
-        for id,c in list(cs.items()):
-            c.species = self.specLevel[c.idx,:]
-            c.signals = self.cellSigLevels[c.idx,:]
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-
-
-    def makeViews(self):
-        # Level views (references) to the data
-        self.signalLevel = self.levels[0:self.signalDataLen]
-        self.specLevel = self.levels[self.signalDataLen:self.signalDataLen+self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-        # Rate views (references) to the data
-        self.signalRate = self.rates[0:self.signalDataLen]
-        self.specRate = self.rates[self.signalDataLen:self.signalDataLen+self.maxSpecDataLen].reshape(self.maxCells,self.nSpecies)
-
-    def addCell(self, cellState):
-        idx = cellState.idx
-        self.nCells += 1
-        cellState.species = self.specLevel[idx,:]
-        cellState.signals = self.cellSigLevels[idx,:]
-        self.celltype[idx] = numpy.int32(cellState.cellType)
-
-    def divide(self, pState, d1State, d2State):
-        # Simulator should have organised indexing:
-
-        # Set up slicing of levels for each daughter and copy parent levels
-        d1idx = d1State.idx
-        self.nCells += 1
-        self.specLevel[d1idx,:] = pState.species
-        self.cellSigLevels[d1idx,:] = pState.signals
-        d1State.species = self.specLevel[d1idx,:]
-        d1State.signals = self.cellSigLevels[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        self.cellSigLevels[d2idx,:] = pState.signals
-        d1State.species = self.specLevel[d1idx,:]
-        d1State.signals = self.cellSigLevels[d1idx,:]
-        self.celltype[d1idx] = d1State.cellType
-
-        d2idx = d2State.idx
-        self.nCells += 1
-        self.specLevel[d2idx,:] = pState.species
-        d2State.species = self.specLevel[d2idx,:]
-        d2State.signals = self.cellSigLevels[d2idx,:]
-        self.celltype[d2idx] = d2State.cellType
-
-    def setSignalling(self, sig):
-        self.signalling = sig
-
-    def setRegulator(self, regul):
-        self.regul = regul
-        # Use regulation module to setup kernels
-        self.initKernels()
-
-    def initArrays(self):
-        self.gridIdxs = numpy.zeros((self.maxCells,8),dtype=numpy.int32)
-        self.gridIdxs_dev = cl_array.zeros(self.queue, (self.maxCells,8),dtype=numpy.int32)
-        self.triWts = numpy.zeros((self.maxCells,8),dtype=numpy.float32)
-        self.triWts_dev = cl_array.zeros(self.queue, (self.maxCells,8),dtype=numpy.float32)
-        self.cellSigRates = numpy.zeros((self.maxCells,8,self.nSignals),dtype=numpy.float32)
-        self.cellSigRates_dev = cl_array.zeros(self.queue, (self.maxCells,8,self.nSignals),dtype=numpy.float32)
-        self.cellSigLevels = numpy.zeros((self.maxCells,self.nSignals),dtype=numpy.float32)
-        self.cellSigLevels_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSignals),dtype=numpy.float32)
-        self.signalLevel_dev = cl_array.zeros(self.queue, self.gridDim,dtype=numpy.float32)
-        self.specLevel_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-        self.specRate_dev = cl_array.zeros(self.queue, (self.maxCells,self.nSpecies), dtype=numpy.float32)
-
-        self.celltype = numpy.zeros((self.maxCells,),dtype=numpy.int32)
-        self.celltype_dev = cl_array.zeros(self.queue, (self.maxCells,),dtype=numpy.int32)
-        #self.pos_dev = cl_array.zeros(self.queue, (self.maxCells,), dtype=vec.float4)
-
-    def initKernels(self):
-        # Get user defined kernel source
-        specRateKernel = self.regul.specRateCL()
-        sigRateKernel = self.regul.sigRateCL()
-        #kernel_src = open('CellModeller/Integration/CLCrankNicIntegrator.cl', 'r').read()
-        from pkg_resources import resource_string
-        kernel_src = resource_string(__name__, 'CLCrankNicIntegrator.cl').decode()
-        # substitute user defined kernel code, and number of signals
-        kernel_src = kernel_src % {'sigKernel': sigRateKernel,
-                                   'specKernel': specRateKernel,
-                                   'nSignals': self.nSignals}
-        self.program = cl.Program(self.context, kernel_src).build(cache_dir=False)
-
-
-    def dydt(self):
-        # get cell grid idxs and weights
-        self.program.gridCells(self.queue, (self.nCells,), None,
-                numpy.float32(self.signalling.gridOrig[0]),
-                numpy.float32(self.signalling.gridOrig[1]),
-                numpy.float32(self.signalling.gridOrig[2]),
-                numpy.float32(self.signalling.gridSize[0]),
-                numpy.float32(self.signalling.gridSize[1]),
-                numpy.float32(self.signalling.gridSize[2]),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.sim.phys.cell_centers_dev.data,
-                self.triWts_dev.data,
-                self.gridIdxs_dev.data).wait()
-        self.gridIdxs[:] = self.gridIdxs_dev.get()
-
-        # put local cell signal levels in array
-        self.signalLevel_dev.set(self.signalLevel)
-        self.program.setCellSignals(self.queue, (self.nCells,), None,
-                numpy.int32(self.nSignals),
-                numpy.int32(self.gridTotalSize),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.gridIdxs_dev.data,
-                self.triWts_dev.data,
-                self.signalLevel_dev.data,
-                self.cellSigLevels_dev.data).wait()
-
-        self.celltype_dev.set(self.celltype)
-        # compute species rates
-        self.specLevel_dev.set(self.specLevel)
-        self.program.speciesRates(self.queue, (self.nCells,), None,
-                                  numpy.int32(self.nSignals),
-                                  numpy.int32(self.nSpecies),
-                                  numpy.float32(self.sim.sig.dV),
-                                  self.sim.phys.cell_areas_dev.data,
-                                  self.sim.phys.cell_vols_dev.data,
-                                  self.celltype_dev.data,
-                                  self.specLevel_dev.data,
-                                  self.cellSigLevels_dev.data,
-                                  self.specRate_dev.data).wait()
-        self.specRate[:] = self.specRate_dev.get()
-
-        # compute signal rates, weighted for grid nodes
-        self.program.signalRates(self.queue, (self.nCells,), None,
-                                 numpy.int32(self.nSignals),
-                                 numpy.int32(self.nSpecies),
-                                 numpy.float32(self.sim.sig.dV),
-                                 self.sim.phys.cell_areas_dev.data,
-                                 self.sim.phys.cell_vols_dev.data,
-                                 self.celltype_dev.data,
-                                 self.specLevel_dev.data,
-                                 self.cellSigLevels_dev.data,
-                                 self.triWts_dev.data,
-                                 self.cellSigRates_dev.data).wait()
-        self.cellSigRates[:] = self.cellSigRates_dev.get()
-
-        # Put cell signal production into diffusion grid:
-        #  - Using a convoluted way to reduce by key to get cell prod rates
-        #  into grid
-        gridIdxs = self.gridIdxs[0:self.nCells,:].reshape(self.nCells*8)
-        order = numpy.argsort(gridIdxs)
-        gridIdxs = gridIdxs[order]
-        cellSigRates = self.cellSigRates[0:self.nCells,:,:].reshape((self.nCells*8,self.nSignals))
-        cellSigRates = cellSigRates[order]
-        cellSigRates.cumsum(axis=0, out=cellSigRates)
-        (u,index) = unique_stable(gridIdxs[::-1],True) # first occurance of each key in reverse keys
-        index = len(gridIdxs)-1-index # last occurance in forward keys
-        cellSigRates = cellSigRates[index]
-        idxs = gridIdxs[index]
-        cellSigRates[1:] = cellSigRates[1:] - cellSigRates[:-1] # difference in cumsums is sum for each index
-
-
-        signalRate = self.signalRate.reshape((self.nSignals,self.gridDim[1]*self.gridDim[2]*self.gridDim[3]))
-        signalRate[:,idxs] += cellSigRates.transpose() # add into diffusion grid
-
-
-    def step(self, dt):
-        if dt!=self.dt:
-            print("I can only integrate at fixed dt!")
-            return
-
-        self.nCells = len(self.cellStates)
-        # Check we have enough space allocated
-        try:
-            s = self.specLevel[self.nCells-1]
-        except IndexError:
-            # Could resize here, then would have to rebuild views
-            print("Number of cells exceeded " \
-                    + self.__class__.__name__ \
-                    + "::maxCells (" + self.maxCells + ")")
-
-        self.dataLen = self.signalDataLen + self.nCells*self.nSpecies
-
-        # growth dilution of species
-        self.diluteSpecies()
-
-        # Do u += h(T(u_t)/2 + hf(u_t)) where T=transport operator, f(u_t) is 
-        # our regulation function dydt
-        self.signalling.transportRates(self.signalRate, self.signalLevel, self.boundcond)
-        self.dydt()
-        self.rates[0:self.dataLen] *= self.dt
-        self.levels[0:self.dataLen] += self.rates[0:self.dataLen]
-
-        # put local cell signal levels in array
-        self.signalLevel_dev.set(self.signalLevel)
-        self.program.setCellSignals(self.queue, (self.nCells,), None,
-                numpy.int32(self.nSignals),
-                numpy.int32(self.gridTotalSize),
-                numpy.int32(self.signalling.gridDim[1]),
-                numpy.int32(self.signalling.gridDim[2]),
-                numpy.int32(self.signalling.gridDim[3]),
-                self.gridIdxs_dev.data,
-                self.triWts_dev.data,
-                self.signalLevel_dev.data,
-                self.cellSigLevels_dev.data).wait()
-        self.cellSigLevels[:] = self.cellSigLevels_dev.get()
-
-# Put the final signal levels into the cell states
-#        states = self.cellStates
-#        for (id,c) in states.items():
-#            if self.signalling:
-#                c.signals = self.signalling.signals(c, self.signalLevel)
-
-        # Update cellType array
-        for (id,c) in list(self.cellStates.items()):
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-        self.celltype_dev.set(self.celltype)
-
-
-    def diluteSpecies(self):
-        self.specLevel_dev.set(self.specLevel)
-        self.program.diluteSpecs(self.queue, (self.nCells,), None,
-                                 numpy.int32(self.nSpecies),
-                                 self.sim.phys.cell_old_vols_dev.data,
-                                 self.sim.phys.cell_vols_dev.data,
-                                 self.specLevel_dev.data).wait()
-        self.specLevel[:] = self.specLevel_dev.get()
-
-    def setLevels(self, SSLevel, cellSigData):
-        self.cellStates = self.sim.cellStates
-        self.levels = SSLevel
-        self.makeViews()
-        self.cellSigLevels = cellSigData
-        self.signalLevel_dev.set(self.signalLevel)
-        self.specLevel_dev.set(self.specLevel)
-        self.cellSigLevels_dev.set(self.cellSigLevels)
-        cs = self.cellStates
-        for id,c in list(cs.items()): #make sure everything is correct here
-            c.species = self.specLevel[c.idx,:]
-            c.signals = self.cellSigLevels[c.idx,:]
-            self.celltype[c.idx] = numpy.int32(c.cellType)
-        self.celltype_dev.set(self.celltype)
-
-
diff --git a/CellModeller/Integration/__init__.py b/CellModeller/Integration/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/CellModeller/Signalling/GridDiffusion.py b/CellModeller/Signalling/GridDiffusion.py
deleted file mode 100644
index f863e897..00000000
--- a/CellModeller/Signalling/GridDiffusion.py
+++ /dev/null
@@ -1,163 +0,0 @@
-from math import floor
-import numpy
-from scipy.ndimage import laplace
-from scipy.ndimage.filters import convolve
-from functools import reduce
-
-
-class GridDiffusion:
-    """ GridDiffusion: 
-    Signal levels/rates on the grid are stored by the Integrator, and this class writes
-into that array data.
-    1. rates() computes the \Del^2 transport operator for grid based diffusion.
-    2. signals() returns the local signal level for a given cell, and given signal 
-level array.
-
-    Other transport models can be implemented by replacing the rates() function with
-something else - e.g. a bulk flow term.
-"""
-    def __init__(self, sim, nSignals, gridDim, gridSize, gridOrig, D, adv=None, initLevels=None, regul=None):
-        # Data organisation
-        self.gridDim = (nSignals,) + gridDim
-        self.gridDataLen = reduce(lambda x, y: x * y, self.gridDim)
-
-        self.gridSize = gridSize
-        self.gridOrig = numpy.array(gridOrig)
-        assert gridSize[0]==gridSize[1]==gridSize[2]
-
-        # Scale diffusion/advection rates by gridSize
-        h = gridSize[0]
-        self.diffRates = [d/(h**2) for d in D]
-        self.advRates = [a/h for a in adv] if adv else None
-        self.nSignals = nSignals
-
-        # Initial signal level - homogeneous distribution
-        self.initLevels = initLevels
-
-        # This is the volume of the grid element. It should really be used
-        # to calc local concentration to a cell. Need to go through and make
-        # everything consistent.
-        self.dV = reduce(lambda x, y: x * y, self.gridSize)
-
-        self.regul = regul 
-        self.setCellStates(sim.cellStates)
-
-    def setCellStates(self, cs):
-        self.cellStates = cs
-
-    def setBiophysics(self, biophysics):
-        self.biophys = biophysics
-
-    def setRegulator(self, regul):
-        self.regul = regul
-    
-    def flattenIdx(self, idx):
-        print("idx = " + str(idx))
-        print("flat idx = " + str(idx[2] + idx[1]*self.gridDim[3] + idx[0]*self.gridDim[2]*self.gridDim[3]))
-        return idx[2] + idx[1]*self.gridDim[3] + idx[0]*self.gridDim[2]*self.gridDim[3]
-
-    def idxFromPos(self, p):
-        return ( floor((p[0] - self.gridOrig[0]) / self.gridSize[0]), \
-            floor((p[1] - self.gridOrig[1]) / self.gridSize[1]), \
-            floor((p[2] - self.gridOrig[2]) / self.gridSize[2]) )
-
-    def trilinearWeights(self, p):
-        x = (p[0] - self.gridOrig[0]) / self.gridSize[0]
-        dx = x - floor(x)
-        y = (p[1] - self.gridOrig[1]) / self.gridSize[1]
-        dy = y - floor(y)
-        z = (p[2] - self.gridOrig[2]) / self.gridSize[2]
-        dz = z - floor(z)
-        w = numpy.zeros((2,2,2))
-        
-        # Calculate weights, giving zero if grid point is off grid
-        w[0,0,0] = (1-dx)*(1-dy)*(1-dz) if x>=0 and x<self.gridDim[1] and y>=0 and y<self.gridDim[2] and z>=0 and z<self.gridDim[3] else 0.0
-        w[1,0,0] = dx*(1-dy)*(1-dz) if x>=-1 and x<self.gridDim[1]-1 and y>=0 and y<self.gridDim[2] and z>=0 and z<self.gridDim[3] else 0.0
-        w[0,1,0] = (1-dx)*dy*(1-dz) if x>=0 and x<self.gridDim[1] and y>=-1 and y<self.gridDim[2]-1 and z>=0 and z<self.gridDim[3] else 0.0
-        w[1,1,0] = dx*dy*(1-dz) if x>=-1 and x<self.gridDim[1]-1 and y>=-1 and y<self.gridDim[2]-1 and  z>=0 and z<self.gridDim[3] else 0.0
-        w[0,0,1] = (1-dx)*(1-dy)*dz if x>=0 and x<self.gridDim[1] and y>=0 and y<self.gridDim[2] and z>=-1 and z<self.gridDim[3]-1 else 0.0
-        w[1,0,1] = dx*(1-dy)*dz if x>=-1 and x<self.gridDim[1]-1 and y>=0 and y<self.gridDim[2] and z>=-1 and z<self.gridDim[3]-1 else 0.0
-        w[0,1,1] = (1-dx)*dy*dz if x>=0 and x<self.gridDim[1] and y>=-1 and y<self.gridDim[2]-1 and z>=-1 and z<self.gridDim[3]-1 else 0.0
-        w[1,1,1] = dx*dy*dz if x>=-1 and x<self.gridDim[1]-1 and y>=-1 and y<self.gridDim[2]-1 and z>=-1 and z<self.gridDim[3]-1 else 0.0
-        print("w = "+str(w.reshape(8)))
-        return w 
-
-    def dataLen(self):
-        return self.gridDataLen 
-
-    def addCell(self, cellState):
-        pass
-
-    def transportRates(self, signalRates, signalLevels, boundcond='constant', mode='normal'):
-        # Compute diffusion term, laplacian of grid levels in signalLevels, 
-        # write into signalRates
-        #
-        # mode='greens' - do not use initLevels as these don't apply!
-        signalRatesView = signalRates.reshape(self.gridDim)
-        signalLevelsView = signalLevels.reshape(self.gridDim)
-        advKernel = numpy.zeros((3,3,3))
-        advKernel[:,1,1] = [-0.5,0,0.5]
-        for s in range(self.nSignals):
-            if boundcond=='constant' and self.initLevels and mode!='greens':
-                boundval = self.initLevels[s]
-            else:
-                boundval = 0.0 
-            if self.advRates:
-                # Adevction term = du/dx
-                # Note: always use 'nearest' edge case, this gives central 
-                # differences in middle, and forward/backward differences on edges
-                convolve(signalLevelsView[s], advKernel*self.advRates[s], output=signalRatesView[s], mode='nearest')
-                # Diffusion term = \del^2u
-                # Use edge case from boundary conditions for diffusion
-                signalRatesView[s] += laplace(signalLevelsView[s], None, mode=boundcond, cval=boundval) * \
-                                                                                    self.diffRates[s] / 6.0
-            else:
-                signalRatesView[s] = laplace(signalLevelsView[s], None, mode=boundcond, cval=boundval) \
-                                                                                   * self.diffRates[s] / 6.0
-
- 
-    def interpAddToGrid(self, pos, delta, grid):
-        pidx = numpy.array(self.idxFromPos(pos))
-        w = self.trilinearWeights(pos)
-        for i in range(2):
-            for j in range(2):
-                for k in range(2):
-                    idx = tuple(pidx + numpy.array((i,j,k)))
-                    for s in range(self.nSignals):
-                        grid[(s,)+idx] += w[i,j,k]*delta[s]
-
-    def cellProdRates(self, signalRates, cellState, cellRates):
-        signalRatesView = signalRates.reshape(self.gridDim)
-        self.interpAddToGrid(cellState.pos, cellRates, signalRatesView)
-#        pidx = numpy.array(self.idxFromPos(cellState.pos))
-#        w = self.trilinearWeights(cellState.pos)
-#        for i in range(2):
-#            for j in range(2):
-#                for k in range(2):
-#                    idx = tuple(pidx + numpy.array((i,j,k)))
-#                    for s in range(self.nSignals):
-#                        signalRatesView[(s,)+idx] += w[i,j,k]*cellRates[s]
-
-    def signals(self, cellState, signalLevels):
-        # Gets weighted average signal level at nearest neighbour grid points to cell position
-        signalLevelsView = signalLevels.reshape(self.gridDim)
-        pidx = self.idxFromPos(cellState.pos)
-        print("flatidx = %i"%(self.flattenIdx(pidx)))
-        w = self.trilinearWeights(cellState.pos)
-        sigs = numpy.zeros((self.nSignals))
-        for i in range(2):
-            for j in range(2):
-                for k in range(2):
-                    idx = tuple(pidx + numpy.array((i,j,k),dtype=int))
-                    for s in range(self.nSignals):
-                        sigs[s] += w[i,j,k]*signalLevelsView[(s,)+idx]
-        return sigs
-
-    def initSignalLevels(self, levels):
-        # levels already contains result of previous time step. Since the
-        # signals are on a fixed grid, no changes needed.
-        pass
-
-    def step(self, dt):
-        # Nothing specific to this model. Integrator does everything.
-        pass
diff --git a/CellModeller/Signalling/NeighbourDiffusion.py b/CellModeller/Signalling/NeighbourDiffusion.py
deleted file mode 100644
index 380f18a5..00000000
--- a/CellModeller/Signalling/NeighbourDiffusion.py
+++ /dev/null
@@ -1,108 +0,0 @@
-import numpy
-
-class NeighbourDiffusion:
-
-    """Diffusion between neighbouring cells.
-    """
-
-    biophys = None
-    regul = None
-
-    def __init__(self, simulator, nSignals, D):
-	self.sim = simulator
-	self.nSignals = nSignals
-	self.diffRates = numpy.array(D)
-	self.nCells = 0
-
-    def reset(self):
-	""" Reset the model to its original condition, before any calls to step were made.
-	"""
-	pass
-
-    def dataLen(self):
-	""" Returns the length of the data vector (array) that signals
-	are stored/computed on
-	"""
-	return self.nCells * self.nSignals
-
-    def addCell(self, cellState):
-	""" Add cell to the model
-
-	cellState -- state of new cell. Id should be unique.
-	"""
-	self.nCells +=1
-
-    def setBiophysics(self, biophysics):
-        """Set the biophysical model used by this signalling model.
-
-        biophysics -- A biophysical model.
-        """
-	self.biophys = biophysics
-
-    def setRegulator(self, regulator):
-        """Set the regulator object used by this signalling model.
-
-        regulator -- A regulator.
-        """
-	self.regul = regulator
-
-    def signals(self, cellState, signalLevels):
-        """Return the levels of signals near a cell, given the current
-	levels in signalLevels array (1d array shape)
-
-        cellState -- The state of the cell.
-        """
-	sigLvl = signalLevels.reshape(self.nCells,self.nSignals)
-	idx = self.idToIdx[cellState.id]
-	return sigLvl[idx,:]
-        
-    def initSignalLevels(self, levels):
-	"""Set the initial signal levels for time step to current levels.
-	Write directly into levels array. The array will contain the 
-	result of the previous time-step, so if there are no changes
-	this function can be empty.
-
-	levels -- the array stored by integrator
-	"""
-	self.idToIdx = {}
-	lvlView = levels.reshape(self.nCells, self.nSignals)
-	for i in range(self.nCells):
-	    cell = list(self.sim.cellStates.values())[i]
-	    lvlView[i,:] = cell.signals
-	    self.idToIdx[cell.id] = i
-        
-    def transportRates(self, signalRates, signalLevels):
-	"""Write the rate of change of signals due to transport into signalRates, given the
-	current signal levels in signalLevels. The two args are views into
-	the data stored by the Integrator, and will be flat (1d). Reshape
-	if necessary.
-
-	signalRates -- view into numpy.array (1d) for writing result
-	speciesRates -- view into numpy.array (1d) containing current signal levels
-	"""
-	sigRates = signalRates.reshape(self.nCells, self.nSignals)
-	sigLevels = signalLevels.reshape(self.nCells, self.nSignals)
-	states = list(self.sim.cellStates.values())
-	for i in range(self.nCells):
-	    cell = states[i]
-	    sigRates[i,:] = 0.0
-	    for n in cell.nbs:
-		nbr = self.sim.cellStates[n]
-		nidx = self.idToIdx[nbr.id]
-		# This should be scaled by wall/contact area
-		sigRates[i,:] += sigLevels[nidx,:]*self.diffRates
-		sigRates[i,:] -= sigLevels[i,:]*self.diffRates
-
-    def cellProdRates(self, signalRates, cellState, cellRates):
-	"""Add rate of change of signal due to cell production into signalRates
-
-	signalRates -- array to write into
-	cellState -- the cell
-	cellRates -- the signal production rates
-	"""
-	sigRates = signalRates.reshape(self.nCells,self.nSignals)
-	idx = self.idToIdx[cellState.id]
-	sigRates[idx,:] += cellRates
-
-    def step(self, dt):
-	self.nCells = len(self.sim.cellStates)
diff --git a/CellModeller/Signalling/__init__.py b/CellModeller/Signalling/__init__.py
deleted file mode 100644
index e69de29b..00000000

From daf3dc0ebc28c3053a87588c0968d66fcbeea158 Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Mon, 5 Oct 2026 13:11:04 +0100
Subject: [PATCH 02/13] Remove model specific stuff and old files

---
 CondaRecipes/appdirs/bld.bat                  |    8 -
 CondaRecipes/appdirs/build.sh                 |    9 -
 CondaRecipes/appdirs/meta.yaml                |   60 -
 CondaRecipes/cellmodeller/bld.bat             |    8 -
 CondaRecipes/cellmodeller/build.sh            |   10 -
 CondaRecipes/cellmodeller/meta.yaml           |   84 -
 CondaRecipes/cellmodeller_dev/bld.bat         |    8 -
 CondaRecipes/cellmodeller_dev/build.sh        |   11 -
 CondaRecipes/cellmodeller_dev/meta.yaml       |   79 -
 CondaRecipes/mako/bld.bat                     |    8 -
 CondaRecipes/mako/build.sh                    |    9 -
 CondaRecipes/mako/meta.yaml                   |   66 -
 CondaRecipes/pyopencl/bld.bat                 |    8 -
 CondaRecipes/pyopencl/build.sh                |   15 -
 CondaRecipes/pyopencl/meta.yaml               |   75 -
 CondaRecipes/pyopengl/bld.bat                 |    2 -
 CondaRecipes/pyopengl/build.sh                |   11 -
 CondaRecipes/pyopengl/meta.yaml               |   31 -
 CondaRecipes/pyopengl/post-link.sh            |    5 -
 CondaRecipes/pytools/bld.bat                  |    8 -
 CondaRecipes/pytools/build.sh                 |    9 -
 CondaRecipes/pytools/meta.yaml                |   66 -
 .../BacterialBiophysics.pdf                   |  Bin 150122 -> 0 bytes
 .../BacterialBiophysics.tex                   |  355 ---
 Doc/Maths/cellforces.pdf                      |  Bin 325955 -> 0 bytes
 Doc/Maths/celloverlap.ai                      | 1658 ------------
 Doc/Maths/celloverlap.pdf                     |  Bin 328137 -> 0 bytes
 Doc/Maths/cellvel.pdf                         |  Bin 362152 -> 0 bytes
 Doc/Maths/math.pdf                            |  Bin 1109385 -> 0 bytes
 Doc/Maths/math.tex                            |  913 -------
 Doc/modules.pdf                               |  Bin 350832 -> 0 bytes
 Doc/modules.png                               |  Bin 30868 -> 0 bytes
 DoxygenConfig                                 | 2366 -----------------
 Examples/ACS2012/EdgeDetectorChamber.py       |  103 -
 Examples/Conjugation.py                       |   65 -
 Examples/TimRudgeThesis/Meristem.py           |   66 -
 Examples/Tutorial_1/Tutorial_1a.py            |   44 -
 Examples/Tutorial_1/Tutorial_1b.py            |   63 -
 Examples/Tutorial_1/Tutorial_1c.py            |   48 -
 Examples/Tutorial_2/.DS_Store                 |  Bin 6148 -> 0 bytes
 Examples/Tutorial_2/Tutorial_2a.py            |   66 -
 Examples/Tutorial_2/Tutorial_2b.py            |   71 -
 Examples/Tutorial_3/Tutorial_3.py             |  115 -
 Examples/colorWalk_planes_3d.py               |   70 -
 Examples/ex1_simpleGrowth.py                  |   59 -
 Examples/ex1_simpleGrowth2D.py                |   45 -
 Examples/ex1a_simpleGrowth2D.py               |   48 -
 Examples/ex1a_simpleGrowth2Types.py           |   48 -
 Examples/ex1b_simpleGrowth2D.py               |   48 -
 Examples/ex1b_simpleGrowthRoundCell.py        |   46 -
 Examples/ex2_constGene.py                     |   65 -
 Examples/ex2a_dilution.py                     |   63 -
 Examples/ex2b_diluteRepression.py             |   68 -
 Examples/ex3_simpleSignal.py                  |  101 -
 Examples/ex4_simpleCellCellSignaling.py       |  111 -
 Examples/ex5_colonySector.py                  |   64 -
 Examples/ex5_colonySector_3d.py               |   61 -
 Examples/load.py                              |   64 -
 Examples/sphere_constraints.py                |   53 -
 .../InstallCellModellerLinux64_public.sh      |   77 -
 .../InstallCellModellerOSX_public.command     |   77 -
 Installers/UninstallCellModeller              |   23 -
 Installers/cmgui                              |    4 -
 Installers/cmpython                           |    3 -
 Installers/make_install_zips.sh               |   39 -
 65 files changed, 7760 deletions(-)
 delete mode 100644 CondaRecipes/appdirs/bld.bat
 delete mode 100644 CondaRecipes/appdirs/build.sh
 delete mode 100644 CondaRecipes/appdirs/meta.yaml
 delete mode 100644 CondaRecipes/cellmodeller/bld.bat
 delete mode 100644 CondaRecipes/cellmodeller/build.sh
 delete mode 100644 CondaRecipes/cellmodeller/meta.yaml
 delete mode 100644 CondaRecipes/cellmodeller_dev/bld.bat
 delete mode 100644 CondaRecipes/cellmodeller_dev/build.sh
 delete mode 100644 CondaRecipes/cellmodeller_dev/meta.yaml
 delete mode 100644 CondaRecipes/mako/bld.bat
 delete mode 100644 CondaRecipes/mako/build.sh
 delete mode 100644 CondaRecipes/mako/meta.yaml
 delete mode 100644 CondaRecipes/pyopencl/bld.bat
 delete mode 100644 CondaRecipes/pyopencl/build.sh
 delete mode 100644 CondaRecipes/pyopencl/meta.yaml
 delete mode 100755 CondaRecipes/pyopengl/bld.bat
 delete mode 100755 CondaRecipes/pyopengl/build.sh
 delete mode 100644 CondaRecipes/pyopengl/meta.yaml
 delete mode 100755 CondaRecipes/pyopengl/post-link.sh
 delete mode 100644 CondaRecipes/pytools/bld.bat
 delete mode 100644 CondaRecipes/pytools/build.sh
 delete mode 100644 CondaRecipes/pytools/meta.yaml
 delete mode 100644 Doc/BacterialBiophysics/BacterialBiophysics.pdf
 delete mode 100644 Doc/BacterialBiophysics/BacterialBiophysics.tex
 delete mode 100644 Doc/Maths/cellforces.pdf
 delete mode 100644 Doc/Maths/celloverlap.ai
 delete mode 100644 Doc/Maths/celloverlap.pdf
 delete mode 100644 Doc/Maths/cellvel.pdf
 delete mode 100644 Doc/Maths/math.pdf
 delete mode 100644 Doc/Maths/math.tex
 delete mode 100644 Doc/modules.pdf
 delete mode 100644 Doc/modules.png
 delete mode 100644 DoxygenConfig
 delete mode 100644 Examples/ACS2012/EdgeDetectorChamber.py
 delete mode 100644 Examples/Conjugation.py
 delete mode 100644 Examples/TimRudgeThesis/Meristem.py
 delete mode 100644 Examples/Tutorial_1/Tutorial_1a.py
 delete mode 100644 Examples/Tutorial_1/Tutorial_1b.py
 delete mode 100644 Examples/Tutorial_1/Tutorial_1c.py
 delete mode 100644 Examples/Tutorial_2/.DS_Store
 delete mode 100644 Examples/Tutorial_2/Tutorial_2a.py
 delete mode 100644 Examples/Tutorial_2/Tutorial_2b.py
 delete mode 100644 Examples/Tutorial_3/Tutorial_3.py
 delete mode 100644 Examples/colorWalk_planes_3d.py
 delete mode 100644 Examples/ex1_simpleGrowth.py
 delete mode 100644 Examples/ex1_simpleGrowth2D.py
 delete mode 100644 Examples/ex1a_simpleGrowth2D.py
 delete mode 100644 Examples/ex1a_simpleGrowth2Types.py
 delete mode 100644 Examples/ex1b_simpleGrowth2D.py
 delete mode 100644 Examples/ex1b_simpleGrowthRoundCell.py
 delete mode 100644 Examples/ex2_constGene.py
 delete mode 100644 Examples/ex2a_dilution.py
 delete mode 100644 Examples/ex2b_diluteRepression.py
 delete mode 100644 Examples/ex3_simpleSignal.py
 delete mode 100644 Examples/ex4_simpleCellCellSignaling.py
 delete mode 100644 Examples/ex5_colonySector.py
 delete mode 100644 Examples/ex5_colonySector_3d.py
 delete mode 100644 Examples/load.py
 delete mode 100644 Examples/sphere_constraints.py
 delete mode 100755 Installers/InstallCellModellerLinux64_public.sh
 delete mode 100755 Installers/InstallCellModellerOSX_public.command
 delete mode 100755 Installers/UninstallCellModeller
 delete mode 100755 Installers/cmgui
 delete mode 100755 Installers/cmpython
 delete mode 100755 Installers/make_install_zips.sh

diff --git a/CondaRecipes/appdirs/bld.bat b/CondaRecipes/appdirs/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/appdirs/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/appdirs/build.sh b/CondaRecipes/appdirs/build.sh
deleted file mode 100644
index 4d7fc032..00000000
--- a/CondaRecipes/appdirs/build.sh
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/bin/bash
-
-$PYTHON setup.py install
-
-# Add more build steps here, if they are necessary.
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/appdirs/meta.yaml b/CondaRecipes/appdirs/meta.yaml
deleted file mode 100644
index e6c3d6fe..00000000
--- a/CondaRecipes/appdirs/meta.yaml
+++ /dev/null
@@ -1,60 +0,0 @@
-package:
-  name: appdirs
-  version: !!str 1.4.0
-
-source:
-  fn: appdirs-1.4.0.tar.gz
-  url: https://pypi.python.org/packages/source/a/appdirs/appdirs-1.4.0.tar.gz
-  md5: 1d17b4c9694ab84794e228f28dc3275b
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-# build:
-  # preserve_egg_dir: True
-  # entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - appdirs = appdirs:main
-    #
-    # Would create an entry point called appdirs that calls appdirs.main()
-
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python 2
-    - setuptools
-
-  run:
-    - python 2
-
-test:
-  # Python imports
-  imports:
-    - appdirs
-
-  # commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://github.com/ActiveState/appdirs
-  license: MIT License
-  summary: 'A small Python module for determining appropriate " +         "platform-specific dirs, e.g. a "user data dir".'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/CondaRecipes/cellmodeller/bld.bat b/CondaRecipes/cellmodeller/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/cellmodeller/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/cellmodeller/build.sh b/CondaRecipes/cellmodeller/build.sh
deleted file mode 100644
index 2e8b221a..00000000
--- a/CondaRecipes/cellmodeller/build.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/bash
-
-$PYTHON setup.py install
-
-# Add more build steps here, if they are necessary.
-
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/cellmodeller/meta.yaml b/CondaRecipes/cellmodeller/meta.yaml
deleted file mode 100644
index 4dec2631..00000000
--- a/CondaRecipes/cellmodeller/meta.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-package:
-  name: cellmodeller
-  version: !!str "4.3.1"
-
-source:
-  git_url: http://github.com/HaseloffLab/CellModeller.git
-  git_tag: v4.3.1 
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-#build:
-  # preserve_egg_dir: True
-#  entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - pyopencl = pyopencl:main
-    #
-    # Would create an entry point called pyopencl that calls pyopencl.main()
-#    - cellmodeller = CellModeller:GUI:CellModellerGUI:main
-#    - cmbatch = CellModeller:batch:main
-
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python 2
-    - numpy 1.9.2
-    - setuptools
-    - scipy
-    - pyqt 4
-    - pyopengl
-    - pyopencl 2014.1
-    - reportlab
-    - matplotlib
-    - mock
-    - nose
-
-  run:
-    - python 2
-    - numpy 1.9.2
-    - setuptools
-    - scipy
-    - pyqt 4
-    - pyopengl
-    - pyopencl 2014.1
-    - reportlab
-    - matplotlib
-    - mock
-
-test:
-  # Python imports
-  imports:
-    - CellModeller
-    - CellModeller.Biophysics
-    - CellModeller.Regulation
-    - CellModeller.Signalling
-    - CellModeller.Integration
-
-#  commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-#    - cellmodeller
-#    - cmbatch
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://www.cellmodeller.org
-  license: BSD License
-  summary: 'Multicellular modelling framework'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/CondaRecipes/cellmodeller_dev/bld.bat b/CondaRecipes/cellmodeller_dev/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/cellmodeller_dev/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/cellmodeller_dev/build.sh b/CondaRecipes/cellmodeller_dev/build.sh
deleted file mode 100644
index 0f82cf5f..00000000
--- a/CondaRecipes/cellmodeller_dev/build.sh
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/bin/bash
-
-THIS_DIR="`dirname $0`"
-
-echo Installing CellModeller python package
-$PYTHON setup.py install
-
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/cellmodeller_dev/meta.yaml b/CondaRecipes/cellmodeller_dev/meta.yaml
deleted file mode 100644
index 79d6c428..00000000
--- a/CondaRecipes/cellmodeller_dev/meta.yaml
+++ /dev/null
@@ -1,79 +0,0 @@
-package:
-  name: cellmodeller_dev
-  version: !!str 4.0
-
-source:
-  git_url: http://github.com/HaseloffLab/CellModeller4_private.git
-#git@github.com:HaseloffLab/CellModeller4_private.git
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-#build:
-  # preserve_egg_dir: True
-#  entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - pyopencl = pyopencl:main
-    #
-    # Would create an entry point called pyopencl that calls pyopencl.main()
-#    - cellmodeller = CellModeller.GUI.CellModellerGUI:launch
-#    - cmbatch = CellModeller.batch:main
-
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python
-    - setuptools
-    - numpy
-    - scipy
-    - pyqt
-    - pyopengl
-    - pyopencl
-
-  run:
-    - python
-    - setuptools
-    - numpy
-    - scipy
-    - pyqt
-    - pyopengl
-    - pyopencl
-    - reportlab
-
-test:
-  # Python imports
-  imports:
-    - CellModeller
-    - CellModeller.Biophysics
-    - CellModeller.Regulation
-    - CellModeller.Signalling
-    - CellModeller.Integration
-
-#  commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-#    - cellmodeller
-#    - cmbatch
-
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://www.cellmodeller.org
-  license: BSD License
-  summary: 'Multicellular modelling framework'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/CondaRecipes/mako/bld.bat b/CondaRecipes/mako/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/mako/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/mako/build.sh b/CondaRecipes/mako/build.sh
deleted file mode 100644
index 4d7fc032..00000000
--- a/CondaRecipes/mako/build.sh
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/bin/bash
-
-$PYTHON setup.py install
-
-# Add more build steps here, if they are necessary.
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/mako/meta.yaml b/CondaRecipes/mako/meta.yaml
deleted file mode 100644
index 1d0579b3..00000000
--- a/CondaRecipes/mako/meta.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-package:
-  name: mako
-  version: !!str 1.0.1
-
-source:
-  fn: Mako-1.0.1.tar.gz
-  url: https://pypi.python.org/packages/source/M/Mako/Mako-1.0.1.tar.gz
-  md5: 9f0aafd177b039ef67b90ea350497a54
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-build:
-  preserve_egg_dir: True
-  entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - mako = mako:main
-    #
-    # Would create an entry point called mako that calls mako.main()
-
-    - mako-render=mako.cmd:cmdline
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python 2
-    - setuptools
-    - markupsafe >=0.9.2
-
-  run:
-    - python 2
-    - setuptools
-    - markupsafe >=0.9.2
-
-test:
-  # Python imports
-  imports:
-    - mako
-    - mako.ext
-
-  commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-
-    - mako-render --help
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://www.makotemplates.org/
-  license: MIT
-  summary: 'A super-fast templating language that borrows the  best ideas from the existing templating languages.'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/CondaRecipes/pyopencl/bld.bat b/CondaRecipes/pyopencl/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/pyopencl/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/pyopencl/build.sh b/CondaRecipes/pyopencl/build.sh
deleted file mode 100644
index 9f635d9b..00000000
--- a/CondaRecipes/pyopencl/build.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/bin/bash
-
-git checkout tags/v2014.1
-git submodule init
-git submodule update
-$PYTHON configure.py
-$PYTHON setup.py build
-make
-$PYTHON setup.py install
-
-# Add more build steps here, if they are necessary.
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/pyopencl/meta.yaml b/CondaRecipes/pyopencl/meta.yaml
deleted file mode 100644
index 2160ee6d..00000000
--- a/CondaRecipes/pyopencl/meta.yaml
+++ /dev/null
@@ -1,75 +0,0 @@
-package:
-  name: pyopencl
-  version: !!str 2014.1
-
-source:
-#  fn: pyopencl-2014.1.tar.gz
-#  url: https://pypi.python.org/packages/source/p/pyopencl/pyopencl-2014.1.tar.gz
-#  md5: f89d26676aaff01312116caea114f06c
-  git_url: http://git.tiker.net/trees/pyopencl.git
-  git_tag: v2014.1
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-# build:
-  # preserve_egg_dir: True
-  # entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - pyopencl = pyopencl:main
-    #
-    # Would create an entry point called pyopencl that calls pyopencl.main()
-
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python 2
-    - setuptools
-    - pytools 2014.3.5
-    - pytest
-    - decorator
-    - mako
-    - numpy 1.9.2
-
-  run:
-    - python 2
-    - setuptools
-    - pytools 2014.3.5
-    - pytest 
-    - decorator
-    - mako
-    - numpy 1.9.2
-
-#test:
-  # Python imports
-  #imports:
-  #  - pyopencl
-  #  - pyopencl.characterize
-  #  - pyopencl.compyte
-
-  # commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://mathema.tician.de/software/pyopencl
-  license: MIT License
-  summary: 'Python wrapper for OpenCL'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/CondaRecipes/pyopengl/bld.bat b/CondaRecipes/pyopengl/bld.bat
deleted file mode 100755
index 2d6c912c..00000000
--- a/CondaRecipes/pyopengl/bld.bat
+++ /dev/null
@@ -1,2 +0,0 @@
-python setup.py install
-if errorlevel 1 exit 1
diff --git a/CondaRecipes/pyopengl/build.sh b/CondaRecipes/pyopengl/build.sh
deleted file mode 100755
index 6308b482..00000000
--- a/CondaRecipes/pyopengl/build.sh
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/bin/bash
-
-touch requirements.txt;
-
-${PYTHON} setup.py install || exit 1;
-
-mkdir -vp ${PREFIX}/bin;
-
-#POST_LINK="${PREFIX}/bin/.pyopengl-post-link.sh"
-#cp -v ${RECIPE_DIR}/post-link.sh ${POST_LINK};
-#chmod -v 0755 ${POST_LINK};
diff --git a/CondaRecipes/pyopengl/meta.yaml b/CondaRecipes/pyopengl/meta.yaml
deleted file mode 100644
index a54e484a..00000000
--- a/CondaRecipes/pyopengl/meta.yaml
+++ /dev/null
@@ -1,31 +0,0 @@
-
-package:
-    name: pyopengl
-    version: 3.0.2
-
-source:
-    fn: PyOpenGL-3.0.2.tar.gz
-    url: https://pypi.python.org/packages/source/P/PyOpenGL/PyOpenGL-3.0.2.tar.gz
-    md5: 77becc24ffc0a6b28030aa109ad7ff8b
-
-build:
-    number: 0
-
-requirements:
-    build:
-        - python
-        - distribute
-        - numpy
-
-    run:
-        - python
-        - numpy
-
-test:
-    imports:
-        - OpenGL
-
-about:
-    home: http://pyopengl.sourceforge.net/
-    license: BSD
-
diff --git a/CondaRecipes/pyopengl/post-link.sh b/CondaRecipes/pyopengl/post-link.sh
deleted file mode 100755
index ea6fdabc..00000000
--- a/CondaRecipes/pyopengl/post-link.sh
+++ /dev/null
@@ -1,5 +0,0 @@
-#!/bin/bash
-
-cat <<EOF >> ${PREFIX}/.messages.txt
-This is an install message from the pyopengl package.
-EOF
diff --git a/CondaRecipes/pytools/bld.bat b/CondaRecipes/pytools/bld.bat
deleted file mode 100644
index 87b1481d..00000000
--- a/CondaRecipes/pytools/bld.bat
+++ /dev/null
@@ -1,8 +0,0 @@
-"%PYTHON%" setup.py install
-if errorlevel 1 exit 1
-
-:: Add more build steps here, if they are necessary.
-
-:: See
-:: http://docs.continuum.io/conda/build.html
-:: for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/pytools/build.sh b/CondaRecipes/pytools/build.sh
deleted file mode 100644
index 4d7fc032..00000000
--- a/CondaRecipes/pytools/build.sh
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/bin/bash
-
-$PYTHON setup.py install
-
-# Add more build steps here, if they are necessary.
-
-# See
-# http://docs.continuum.io/conda/build.html
-# for a list of environment variables that are set during the build process.
diff --git a/CondaRecipes/pytools/meta.yaml b/CondaRecipes/pytools/meta.yaml
deleted file mode 100644
index 1d507c58..00000000
--- a/CondaRecipes/pytools/meta.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-package:
-  name: pytools
-  version: !!str 2014.3.5
-
-source:
-  fn: pytools-2014.3.5.tar.gz
-  url: https://pypi.python.org/packages/source/p/pytools/pytools-2014.3.5.tar.gz
-  md5: 7f8e9d6a88090a601e96a9ee095d3512
-#  patches:
-   # List any patch files here
-   # - fix.patch
-
-# build:
-  # preserve_egg_dir: True
-  # entry_points:
-    # Put any entry points (scripts to be generated automatically) here. The
-    # syntax is module:function.  For example
-    #
-    # - pytools = pytools:main
-    #
-    # Would create an entry point called pytools that calls pytools.main()
-
-
-  # If this is a new build for the same version, increment the build
-  # number. If you do not include this key, it defaults to 0.
-  # number: 1
-
-requirements:
-  build:
-    - python 2
-    - setuptools
-    - decorator >=3.2.0
-    - appdirs >=1.4.0
-    - six
-
-  run:
-    - python 2
-    - decorator >=3.2.0
-    - appdirs >=1.4.0
-    - six
-
-test:
-  # Python imports
-  imports:
-    - pytools
-
-  # commands:
-    # You can put test commands to be run here.  Use this to test that the
-    # entry points work.
-
-
-  # You can also put a file called run_test.py in the recipe that will be run
-  # at test time.
-
-  # requires:
-    # Put any additional test requirements here.  For example
-    # - nose
-
-about:
-  home: http://pypi.python.org/pypi/pytools
-  license: MIT License
-  summary: 'A collection of tools for Python'
-
-# See
-# http://docs.continuum.io/conda/build.html for
-# more information about meta.yaml
diff --git a/Doc/BacterialBiophysics/BacterialBiophysics.pdf b/Doc/BacterialBiophysics/BacterialBiophysics.pdf
deleted file mode 100644
index db10c9d21efd73685feb789f47ea9154d1e1b576..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/Doc/BacterialBiophysics/BacterialBiophysics.tex b/Doc/BacterialBiophysics/BacterialBiophysics.tex
deleted file mode 100644
index 1888be8b..00000000
--- a/Doc/BacterialBiophysics/BacterialBiophysics.tex
+++ /dev/null
@@ -1,355 +0,0 @@
-\documentclass{report}
-
-\usepackage{amsmath}
-\usepackage{mathtools}
-
-\usepackage{tikz}
-\usetikzlibrary{shapes}
-
-\renewcommand{\vec}[1]{\mathbf{#1}}
-\let\oldhat\hat
-\renewcommand{\hat}[1]{\oldhat{\mathbf{#1}}}
-
-\newcommand{\deltav}{\Delta \vec{v}}
-\newcommand{\deltap}{\Delta \vec{p}}
-\newcommand{\deltaL}{\Delta \vec{L}}
-\newcommand{\deltag}{\Delta g}
-\newcommand{\MInv}{\mathbf{M}^{-1}}
-\newcommand{\IInv}{\mathbf{I}^{-1}}
-\newcommand{\nT}{\hat{n}^\textrm{T}}
-\newcommand{\w}{\boldsymbol{\omega}}
-\newcommand{\rx}{{\left[\vec{r}\right]}_\times}
-
-\begin{document}
-
-
-\begin{figure}
-\begin{tikzpicture}
-
-\node[name=A, shape=rounded rectangle, minimum width=3cm, minimum height=0.75cm, rotate=45, anchor=-12.12, very thick, draw] at (-0.05cm,0) {A};
-\node[name=B, shape=rounded rectangle, minimum width=4cm, minimum height=0.75cm, rotate=0, anchor=west, very thick, draw] at (0.05cm,0) {B};
-
-\end{tikzpicture}
-\end{figure}
-
-The velocity of a point with position $\vec{r}$ relative to the center
-of mass of a cell with its main axis along the unit vector $\hat{a}$
-is:
-
-\begin{align*}
-\vec{v_r} &= \vec{v}_\textrm{linear} + \vec{v}_\textrm{angular} + \vec{v}_\textrm{growth} \\
-&= \vec{v} + \vec{\w} \times \vec{r} + \frac{1}{2} \frac{\hat{a} \cdot \vec{r}}{l} v_{growth} \\
-&= \vec{v} - \vec{r} \times \vec{\w} + \frac{1}{2} \frac{\hat{a} \cdot \vec{r}}{l} v_{growth} \\
-&= \frac{1}{m}\vec{p} - \vec{r} \times \IInv\vec{L} + \frac{1}{2} \frac{\hat{a} \cdot \vec{r}}{l} \frac{g}{G} \\
-&= \frac{1}{m}\vec{p} - \rx \IInv\vec{L} + \frac{1}{2} \frac{\hat{a} \cdot \vec{r}}{l} \frac{g}{G} \\
-\end{align*}
-
-This expression is linear in $\vec{p}$, $\vec{L}$, and $g$, so the
-velocity of the point after an impulse $\deltap$ is:
-
-\begin{align*}
-\vec{v_r} &= \vec{v_r}_0 + \deltav \\
-&= \vec{v_r}_0 + \frac{1}{m}\deltap - \rx\IInv\deltaL \times \vec{r} + \frac{1}{2} \frac{\hat{x} \cdot \vec{r}}{l} \frac{\deltag}{G} \\
-&= \vec{v_r}_0 + \vec{M}_{\hat{a},{\vec{r}}} \deltap
-\end{align*}
-
-\dots where:
-
-\[
-\vec{M}_{\hat{a},{\vec{r}}}
-=
-\left[
-\begin{array}{ccc}
-\frac{1}{m}I & \rx\IInv & \frac{\hat{a}\cdot\vec{r}}{2lG}\hat{a}\\
-\end{array}
-\right]
-\]
-
-\dots and:
-
-\[
-\deltap
-=
-\left[
-\begin{array}{c}
-\deltap \\
-\deltaL \\
-\deltag \\
-\end{array}
-\right]
-=
-\left[
-\begin{array}{c}
-\Delta p_x \\
-\Delta p_y \\
-\Delta p_z \\
-\Delta L_x \\
-\Delta L_y \\
-\Delta L_z \\
-\deltag \\
-\end{array}
-\right]
-\]
-
-In the above, $I$ is the identity matrix and $\IInv$ is the inverse
-inertia tensor.  No confusion should arise from the use of $\deltap$
-to signify both general momentum and specifically linear momentum.
-
-The inertia tensor for a rod of mass $m$, radius $r$, and length $l$
-centered at the origin and lying along the $x$ axis is:
-\[
-\mathbf{I}
-=
-\frac{1}{12}m
-\left[
-\begin{array}{ccc}
-6r^2 & 0 & 0 \\
-0 & 3r^2 + l^2 & 0 \\
-0 & 0 & 3r^2 + l^2 \\
-\end{array}
-\right]
-\]
-
-Therefore the inverse inertia tensor for the same cylinder is:
-\[
-\IInv
-=
-\frac{12}{m}
-\left[
-\begin{array}{ccc}
-\frac{1}{6r^2} & 0 & 0 \\
-0 & \frac{1}{3r^2+l^2} & 0 \\
-0 & 0 & \frac{1}{3r^2+l^2} \\
-\end{array}
-\right]
-\]
-
-Suppose $\mathbf{T}_i$ transforms from world coordinates to local
-coordinates for cell $i$ --- i.e. it transforms the $x$ axis to the
-main axis of that cell.  Then the inverse inertia tensor for cell $i$
-in world coordinates is given by:
-
-\[\IInv_i = \mathbf{T}_i \IInv_\textrm{cyl} \mathbf{T}_i^{-1}\]
-
-So we now have:
-
-\[
-\vec{M}_{\hat{a},{\vec{r}}}
-=
-\left[
-\begin{array}{ccc}
-\frac{1}{m}I &
-\rx \mathbf{T}_i \IInv_\textrm{cyl} \mathbf{T}_i^{-1} &
-\frac{\hat{a}\cdot\vec{r}}{2lG}\hat{a}\\
-\end{array}
-\right]
-\]
-
-
-We assume that colliding capsules --- those that overlap and are
-moving toward each other (the dot product of the velocity vectors of
-the contact points on the two capsules is negative) --- collide
-inelastically.  In this case, the relative velocity of the two contact
-points along the normal $\hat{n}$ after the impulse provided by the
-collision must be zero.  So:
-
-\begin{align*}
-\nT\left(\vec{v}_{\vec{r}_a} - \vec{v}_{\vec{r}_b}\right) \cdot &= 0 \\
-\nT \vec{M}_{\vec{r}_a} \vec{p}_a - \nT \vec{M}_{\vec{r}_b} \vec{p}_b &= 0 \\
-\nT \vec{M}_{\vec{r}_a} \left( \vec{p}_{a_0} + \deltap_a \right) - \nT \vec{M}_{\vec{r}_b} \left( \vec{p}_{b_0} + \deltap_b \right) &= 0 \\
-\nT \vec{M}_{\vec{r}_a} \deltap_a - \nT \vec{M}_{\vec{r}_b} \deltap_b &= \nT \vec{M}_{\vec{r}_b} \vec{p}_{b_0} - \nT \vec{M}_{\vec{r}_a} \vec{p}_{a_0} \\
-\nT \vec{M}_{\vec{r}_a} \deltap_a - \nT \vec{M}_{\vec{r}_b} \deltap_b &= \nT \vec{v}_{b_0} - \nT \vec{v}_{a_0} \\
-\nT \vec{M}_{\vec{r}_a} \deltap_a - \nT \vec{M}_{\vec{r}_b} \deltap_b &= \nT \vec{v}_{\textrm{rel}_{a,b}} \\
-\end{align*}
-
-Write:
-
-\begin{align*}
-\vec{N}_{\hat{a},{\vec{r}}}
-&=
-\left[
-\begin{array}{ccc}
-\nT \frac{1}{m}I &
-\nT \rx \mathbf{T}_i \IInv_\textrm{cyl} \mathbf{T}_i^{-1} &
-\nT \frac{\hat{a}\cdot\vec{r}}{2lG}\hat{a}\\
-\end{array}
-\right] \\
-&=
-\left[
-\begin{array}{ccc}
-\frac{1}{m} \hat{n} &
-\nT \rx \mathbf{T}_i \IInv_\textrm{cyl} \mathbf{T}_i^{-1} &
-\frac{1}{2lG}\left(\hat{a}\cdot\vec{r}\right)\left(\hat{a}\cdot\hat{n}\right)\\
-\end{array}
-\right] \\
-\end{align*}
-
-This is a $1\times7$ matrix which when multiplied by the $7\times1$
-matrix $\deltap$ gives a change in velocity along the normal $\hat{n}$.
-
-
-
-In block matrix form, we can write:
-
-\[
-\left[
-\begin{array}{cc}
-\nT\vec{M}_{\vec{r}_a} & -\nT\vec{M}_{\vec{r}_b} \\
-\end{array}
-\right]
-\left[
-\begin{array}{c}
-\deltap_a \\
-\deltap_b \\
-\end{array}
-\right]
-=
-\nT\vec{v}_{\textrm{rel}_{a,b}}
-\]
-
-More generally, we will have a system of equations with one such
-equation for each pair of colliding cells.  We build a larger block
-matrix with a row for each constraint and a column for each cell in
-the system.  If the $i$th constraint involves cells $a$ and $b$ (in
-that order), then:
-
-\[\vec{M}_{ij} = \left\{
-\begin{array}{ll}
-\nT\vec{M}_{\vec{r}_a} & \textrm{if } j=a \\
--\nT\vec{M}_{\vec{r}_b} & \textrm{if } j=b \\
-0 & \textrm{otherwise} \\
-\end{array}
-\right\}\]
-
-
-A sytem with four cells and four collisions might have the equation:
-
-\[
-\left[
-\begin{array}{cccc}
-\vec{M}_{\vec{r}_{1a}} & -\vec{M}_{\vec{r}_{1b}} & 0 & 0 \\
-0 & \vec{M}_{\vec{r}_{2b}} & -\vec{M}_{\vec{r}_{2c}} & 0 \\
-\vec{M}_{\vec{r}_{3a}} & 0 & 0 & -\vec{M}_{\vec{r}_{3d}} \\
-0 & 0 & \vec{M}_{\vec{r}_{4c}} & -\vec{M}_{\vec{r}_{4d}} \\
-\end{array}
-\right]
-\left[
-\begin{array}{c}
-\deltap_a \\
-\deltap_b \\
-\deltap_c \\
-\deltap_d \\
-\end{array}
-\right]
-=
-\left[
-\begin{array}{c}
-\vec{v}_{\textrm{rel}_{a,b}} \\
-\vec{v}_{\textrm{rel}_{b,c}} \\
-\vec{v}_{\textrm{rel}_{a,d}} \\
-\vec{v}_{\textrm{rel}_{c,d}} \\
-\end{array}
-\right]
-\]
-
-
-We can transform this into a square matrix by multiplying by $\vec{M}^\textrm{T}$.
-
-\[
-\vec{M}^\textrm{T} \vec{M} \deltap = \vec{M}^\textrm{T} \vec{v}_{\textrm{rel}}
-\]
-
-Consider $\vec{A} = \vec{M}^\textrm{T} \vec{M}$.  We have:
-
-\[
-\vec{A}_{ij} = \sum_{k} \vec{M}^\textrm{T}_{ik} \vec{M}_{kj}
-\]
-
-\dots where $k \in \textrm{constraints}$.
-
-If $i \neq j$ and there is no constraint between cells $i$ and $j$
-then ${\vec{M}^\textrm{T}}_{ik} \vec{M}_{kj}$ will be zero.  If there
-is a constraint between $i$ and $j$, then:
-
-\[
-\vec{A}_{ij} = -\vec{M}^\textrm{T}_{\vec{r}_{ik}} \vec{M}_{\vec{r}_{jk}}
-\]
-
-\dots where $\vec{r}_{ik}$ is the vector from the center of cell $i$
-to the point on the surface of that cell associated with contact $k$.
-
-If $i=j$, then:
-
-\[
-\vec{A}_{ii} = \sum_k{\vec{M}^\textrm{T}_{\vec{r}_{ik}}\vec{M}_{\vec{r}_{ik}}}
-\]
-
-\dots where $k$ ranges over all constraints involving cell $i$.
-
-In general:
-
-\[
-\vec{M}_\vec{s}^\textrm{T} \vec{M}_\vec{r}
-=
-\begin{bmatrix*}
-\frac{1}{M_1M_2} & 0 & 0 & 0 & \frac{\vec{s}_z}{I_2} & -\frac{\vec{s}_y}{I_2} & \frac{{\vec{a}_\vec{s}}_x}{2l_2G_2} \\[6pt]
-0 & \frac{1}{M_1M_2} & 0 & -\frac{\vec{s}_z}{I_2} & 0 & \frac{\vec{s}_x}{I_2} & \frac{{\vec{a}_\vec{s}}_y}{2l_2G_2} \\[6pt]
-0 & 0 & \frac{1}{M_1M_2} & \frac{\vec{s}_y}{I_2} & -\frac{\vec{s}_x}{I_2} & 0 & \frac{{\vec{a}_\vec{s}}_z}{2l_2G_2} \\[6pt]
-0 & -\frac{\vec{r}_z}{I_1} & \frac{\vec{r}_y}{I_1} & \frac{\vec{r}_y\vec{s}_y + \vec{r}_z\vec{s}_z}{I_1I_2} & -\frac{\vec{r}_y\vec{s}_x}{I_1I_2} & -\frac{\vec{r}_z\vec{s}_x}{I_1I_2} & \frac{\vec{r}_y{\vec{a}_\vec{s}}_z}{2I_1l_2G_2} \\[6pt]
-\frac{\vec{r}_z}{I_1} & 0 & -\frac{\vec{r}_x}{I_1} & -\frac{\vec{r}_x\vec{s}_y}{I_1I_2} & \frac{\vec{r}_x\vec{s}_x + \vec{r}_z\vec{s}_z}{I_1I_2} & -\frac{\vec{r}_z\vec{s}_y}{I_1I_2} & \frac{\vec{r}_z{\vec{a}_\vec{s}}_x}{2I_1l_2G_2} \\[6pt]
--\frac{\vec{r}_y}{I_1} & \frac{\vec{r}_x}{I_1} & 0 & -\frac{\vec{r}_x\vec{s}_z}{I_1I_2} & -\frac{\vec{r}_y\vec{s}_z}{I_1I_2} & \frac{\vec{r}_y\vec{s}_y + \vec{r}_z\vec{s}_z}{I_1I_2} & \frac{\vec{r}_x{\vec{a}_\vec{s}}_y}{2I_1l_2G_2} \\[6pt]
-\frac{{\vec{a}_\vec{r}}_x}{2l_1G_1} & \frac{{\vec{a}_\vec{r}}_y}{2l_1G_1} & \frac{{\vec{a}_\vec{r}}_z}{2l_1G_1} &
-\frac{\vec{s}_y{\vec{a}_\vec{r}}_z - \vec{s}_z{\vec{a}_\vec{r}}_y}{2I_2l_1G_1} &
-\frac{\vec{s}_z{\vec{a}_\vec{r}}_x - \vec{s}_x{\vec{a}_\vec{r}}_z}{2I_2l_1G_1} &
-\frac{\vec{s}_x{\vec{a}_\vec{r}}_y - \vec{s}_y{\vec{a}_\vec{r}}_x}{2I_2l_1G_1} &
-\frac{\vec{a}_\vec{r} \cdot \vec{a}_\vec{s}}{4l_1l_2G_1G_2} \\
-\end{bmatrix*}
-\]
-
-\dots and:
-
-\[
-\vec{M}_\vec{r}^\textrm{T} \vec{M}_\vec{r}
-=
-\begin{bmatrix*}
-\frac{1}{M_1^2} & 0 & 0 & 0 & \frac{\vec{r}_z}{I_1} & -\frac{\vec{r}_y}{I_1} & \frac{{\vec{a}_\vec{r}}_x}{2l_1G_1} \\
-0 & \frac{1}{M_1^2} & 0 & -\frac{\vec{r}_z}{I_1} & 0 & \frac{\vec{r}_x}{I_1} & \frac{{\vec{a}_\vec{r}}_y}{2l_1G_1} \\
-0 & 0 & \frac{1}{M_1^2} & \frac{\vec{r}_y}{I_1} & -\frac{\vec{r}_x}{I_1} & 0 & \frac{{\vec{a}_\vec{r}}_z}{2l_1G_1} \\
-0 & -\frac{\vec{r}_z}{I_1} & \frac{\vec{r}_y}{I_1} & \frac{\vec{r}_y^2 + \vec{r}_z^2}{I_1^2} & -\frac{\vec{r}_y\vec{r}_x}{I_1^2} & -\frac{\vec{r}_z\vec{r}_x}{I_1^2} & \frac{\vec{r}_y{\vec{a}_\vec{r}}_z}{2I_1l_1G_1} \\
-\frac{\vec{r}_z}{I_1} & 0 & -\frac{\vec{r}_x}{I_1} & -\frac{\vec{r}_x\vec{r}_y}{I_1^2} & \frac{\vec{r}_x^2 + \vec{r}_z^2}{I_1^2} & -\frac{\vec{r}_z\vec{r}_y}{I_1^2} & \frac{\vec{r}_z{\vec{a}_\vec{s}}_x}{2I_1l_1G_1} \\
--\frac{\vec{r}_y}{I_1} & \frac{\vec{r}_x}{I_1} & 0 & -\frac{\vec{r}_x\vec{r}_z}{I_1^2} & -\frac{\vec{r}_y\vec{r}_z}{I_1^2} & \frac{\vec{r}_y^2 + \vec{r}_z^2}{I_1^2} & \frac{\vec{r}_x{\vec{a}_\vec{r}}_y}{2I_1l_1G_1} \\
-\frac{{\vec{a}_\vec{r}}_x}{2l_1G_1} & \frac{{\vec{a}_\vec{r}}_y}{2l_1G_1} & \frac{{\vec{a}_\vec{r}}_z}{2l_1G_1} &
-\frac{\vec{r}_y{\vec{a}_\vec{r}}_z - \vec{r}_z{\vec{a}_\vec{r}}_y}{2I_1l_1G_1} &
-\frac{\vec{r}_z{\vec{a}_\vec{r}}_x - \vec{r}_x{\vec{a}_\vec{r}}_z}{2I_1l_1G_1} &
-\frac{\vec{r}_x{\vec{a}_\vec{r}}_y - \vec{r}_y{\vec{a}_\vec{r}}_x}{2I_1l_1G_1} &
-\frac{\vec{a}_\vec{r} \cdot \vec{a}_\vec{r}}{4l_1^2G_1^2} \\
-\end{bmatrix*}
-\]
-
-\dots where:
-
-\begin{align*}
-\vec{a}_\vec{r} &= \left(\hat{x}_1 \cdot \vec{r}\right) \vec{r} \\
-\vec{a}_\vec{s} &= \left(\hat{x}_2 \cdot \vec{s}\right) \vec{s} \\
-\end{align*}
-
-So we are left with the equation:
-
-\[
-\vec{A}\deltap = \deltav
-\]
-
-\dots where:
-
-\[
-\vec{A}_{ij} = \left\{
-  \begin{array}{ll}
-    \vec{M}^\textrm{T}_i\vec{M}_i & \textrm{if } i = j \\
-    -\vec{M}^\textrm{T}_i\vec{M}_j & \textrm{if cell } i \textrm{ and cell } j \textrm{ are colliding} \\
-  \end{array}\right\}
-\]
-
-
-
-
-\end{document}
diff --git a/Doc/Maths/cellforces.pdf b/Doc/Maths/cellforces.pdf
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-                           <xmpG:red>237</xmpG:red>
-                           <xmpG:green>28</xmpG:green>
-                           <xmpG:blue>36</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>CMYK Yellow</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>255</xmpG:red>
-                           <xmpG:green>242</xmpG:green>
-                           <xmpG:blue>0</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>CMYK Green</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>0</xmpG:red>
-                           <xmpG:green>166</xmpG:green>
-                           <xmpG:blue>81</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>CMYK Cyan</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>0</xmpG:red>
-                           <xmpG:green>174</xmpG:green>
-                           <xmpG:blue>239</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>CMYK Blue</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>46</xmpG:red>
-                           <xmpG:green>49</xmpG:green>
-                           <xmpG:blue>146</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>CMYK Magenta</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>236</xmpG:red>
-                           <xmpG:green>0</xmpG:green>
-                           <xmpG:blue>140</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>190</xmpG:red>
-                           <xmpG:green>30</xmpG:green>
-                           <xmpG:blue>45</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>239</xmpG:red>
-                           <xmpG:green>65</xmpG:green>
-                           <xmpG:blue>54</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>241</xmpG:red>
-                           <xmpG:green>90</xmpG:green>
-                           <xmpG:blue>41</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>247</xmpG:red>
-                           <xmpG:green>148</xmpG:green>
-                           <xmpG:blue>30</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>251</xmpG:red>
-                           <xmpG:green>176</xmpG:green>
-                           <xmpG:blue>64</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>249</xmpG:red>
-                           <xmpG:green>237</xmpG:green>
-                           <xmpG:blue>50</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>215</xmpG:red>
-                           <xmpG:green>223</xmpG:green>
-                           <xmpG:blue>35</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>141</xmpG:red>
-                           <xmpG:green>198</xmpG:green>
-                           <xmpG:blue>63</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>57</xmpG:red>
-                           <xmpG:green>181</xmpG:green>
-                           <xmpG:blue>74</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>0</xmpG:red>
-                           <xmpG:green>148</xmpG:green>
-                           <xmpG:blue>68</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>0</xmpG:red>
-                           <xmpG:green>104</xmpG:green>
-                           <xmpG:blue>56</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>43</xmpG:red>
-                           <xmpG:green>182</xmpG:green>
-                           <xmpG:blue>115</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>0</xmpG:red>
-                           <xmpG:green>167</xmpG:green>
-                           <xmpG:blue>157</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>39</xmpG:red>
-                           <xmpG:green>170</xmpG:green>
-                           <xmpG:blue>225</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>28</xmpG:red>
-                           <xmpG:green>117</xmpG:green>
-                           <xmpG:blue>188</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>43</xmpG:red>
-                           <xmpG:green>57</xmpG:green>
-                           <xmpG:blue>144</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>38</xmpG:red>
-                           <xmpG:green>34</xmpG:green>
-                           <xmpG:blue>98</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>102</xmpG:red>
-                           <xmpG:green>45</xmpG:green>
-                           <xmpG:blue>145</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>146</xmpG:red>
-                           <xmpG:green>39</xmpG:green>
-                           <xmpG:blue>143</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>158</xmpG:red>
-                           <xmpG:green>31</xmpG:green>
-                           <xmpG:blue>99</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>218</xmpG:red>
-                           <xmpG:green>28</xmpG:green>
-                           <xmpG:blue>92</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>238</xmpG:red>
-                           <xmpG:green>42</xmpG:green>
-                           <xmpG:blue>123</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>194</xmpG:red>
-                           <xmpG:green>181</xmpG:green>
-                           <xmpG:blue>155</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>155</xmpG:red>
-                           <xmpG:green>133</xmpG:green>
-                           <xmpG:blue>121</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>114</xmpG:red>
-                           <xmpG:green>102</xmpG:green>
-                           <xmpG:blue>88</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>89</xmpG:red>
-                           <xmpG:green>74</xmpG:green>
-                           <xmpG:blue>66</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>196</xmpG:red>
-                           <xmpG:green>154</xmpG:green>
-                           <xmpG:blue>108</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>169</xmpG:red>
-                           <xmpG:green>124</xmpG:green>
-                           <xmpG:blue>80</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>139</xmpG:red>
-                           <xmpG:green>94</xmpG:green>
-                           <xmpG:blue>60</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>117</xmpG:red>
-                           <xmpG:green>76</xmpG:green>
-                           <xmpG:blue>41</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>96</xmpG:red>
-                           <xmpG:green>57</xmpG:green>
-                           <xmpG:blue>19</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>60</xmpG:red>
-                           <xmpG:green>36</xmpG:green>
-                           <xmpG:blue>21</xmpG:blue>
-                        </rdf:li>
-                     </rdf:Seq>
-                  </xmpG:Colorants>
-               </rdf:li>
-               <rdf:li rdf:parseType="Resource">
-                  <xmpG:groupName>Grays</xmpG:groupName>
-                  <xmpG:groupType>1</xmpG:groupType>
-                  <xmpG:Colorants>
-                     <rdf:Seq>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>35</xmpG:red>
-                           <xmpG:green>31</xmpG:green>
-                           <xmpG:blue>32</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>65</xmpG:red>
-                           <xmpG:green>64</xmpG:green>
-                           <xmpG:blue>66</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>88</xmpG:red>
-                           <xmpG:green>89</xmpG:green>
-                           <xmpG:blue>91</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>109</xmpG:red>
-                           <xmpG:green>110</xmpG:green>
-                           <xmpG:blue>113</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>128</xmpG:red>
-                           <xmpG:green>130</xmpG:green>
-                           <xmpG:blue>133</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>147</xmpG:red>
-                           <xmpG:green>149</xmpG:green>
-                           <xmpG:blue>152</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>167</xmpG:red>
-                           <xmpG:green>169</xmpG:green>
-                           <xmpG:blue>172</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>188</xmpG:red>
-                           <xmpG:green>190</xmpG:green>
-                           <xmpG:blue>192</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>209</xmpG:red>
-                           <xmpG:green>211</xmpG:green>
-                           <xmpG:blue>212</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>230</xmpG:red>
-                           <xmpG:green>231</xmpG:green>
-                           <xmpG:blue>232</xmpG:blue>
-                        </rdf:li>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
-                           <xmpG:mode>RGB</xmpG:mode>
-                           <xmpG:type>PROCESS</xmpG:type>
-                           <xmpG:red>241</xmpG:red>
-                           <xmpG:green>242</xmpG:green>
-                           <xmpG:blue>242</xmpG:blue>
-                        </rdf:li>
-                     </rdf:Seq>
-                  </xmpG:Colorants>
-               </rdf:li>
-               <rdf:li rdf:parseType="Resource">
-                  <xmpG:groupName>Brights</xmpG:groupName>
-                  <xmpG:groupType>1</xmpG:groupType>
-                  <xmpG:Colorants>
-                     <rdf:Seq>
-                        <rdf:li rdf:parseType="Resource">
-                           <xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
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diff --git a/Doc/Maths/math.tex b/Doc/Maths/math.tex
deleted file mode 100644
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--- a/Doc/Maths/math.tex
+++ /dev/null
@@ -1,913 +0,0 @@
-\documentclass{report}
-
-\usepackage{booktabs}
-\usepackage{float}
-\usepackage{comment}
-\usepackage{graphicx} 
-\usepackage{amsthm} 
-\usepackage{amsfonts}
-\usepackage{pdfpages} 
-\usepackage{siunitx} 
-\usepackage{mhchem}
-\usepackage{subfloat}
-\usepackage{fullpage}
-\usepackage{array}
-\usepackage[toc,page]{appendix}
-
-\newcommand{\ecoli}{\textit{E. coli}}
-\newcommand{\ecloni}{\textit{E. cloni 10g}} 
-\newcommand{\bsub}{\textit{B. subtilis}} 
-\newcommand{\pbad}{P$_{BAD}$} 
-\newcommand{\plux}{P$_{LUX}$}
-\newcommand{\etal}{\textit{et al.}} 
-\newcommand{\invivo}{\textit{in vivo}}
-\newcommand{\invitro}{\textit{in vitro}} 
-\newcommand{\csix}{3OC6HSL}
-
-\newcommand{\tred}[1]{\textcolor{red}{#1}}
-\newcommand{\tgr}[1]{\textcolor{green}{#1}}
-
-% Units
-\DeclareSIUnit{\molar}{M} 
-\newcommand{\ul}{\si{\micro\litre}} 
-\newcommand{\um}{\si{\micro\metre}}
-\newcommand{\ml}{\si{\milli\litre}} 
-\newcommand{\nm}{\si{\nano\metre}} 
-\newcommand{\ugml}{\si{\micro\gram\per\milli\litre}} 
-\newcommand{\degC}{\si{\degreeCelsius}}
-
-% Misc
-\newcommand{\tenx}{\ensuremath{10\times}}
-\newcommand{\fortyx}{\ensuremath{40\times}}
-\newcommand{\sixtyx}{\ensuremath{60\times}}
-\newcommand{\hundredx}{\ensuremath{100\times}}
-\newcommand{\odsix}{\ensuremath{\textrm{OD}_{600}}}
-\newcommand{\Pspo}{\ensuremath{\textrm{P}_{\textrm{\scriptsize SPO1-26}}}}
-
-% Matrix/ vector shit
-\let\oldhat\hat 
-\renewcommand{\vec}[1]{\mathbf{#1}}
-\renewcommand{\hat}[1]{\oldhat{\mathbf{#1}}}
-\let\oldcaption\caption
-%\renewcommand{\caption}[2][]{\oldcaption[#1]{\small\textbf{#1.} #2\normalsize}}
-\renewcommand{\caption}[2][]{\oldcaption[#1]{\textbf{#1.} #2}}
-
-\newcommand{\mat}{\mathbf} 
-\newcommand{\invmat}[1]{\mat{#1}^{-1}}
-\newcommand{\deltap}{\Delta \vec{p}} 
-\newcommand{\deltaL}{\Delta \vec{L}}
-\newcommand{\deltag}{\Delta g} 
-\newcommand{\Iinv}{\mat{I}^{-1}}
-\newcommand{\Minv}{\mat{M}^{-1}}
-\newcommand{\crossmat}[1]{{\left[#1\right]}_{\times}}
-
-\newtheorem{remark}{Remark} 
-\newtheorem*{note}{Note} 
-
-\begin{document} 
-
-\chapter{Biophysical modelling of rod-shaped bacterial cells}
-\section{Biophysical model}
-The measurements of individual cells in microcolonies of \ecoli\
-presented above are consistent with the overview presented by
-Koch~\cite{Koch:1995} that cells have fixed diameter and grow only along their
-major axis, and the findings of Wang \etal~\cite{Wang:2010} showing that cells
-are equally bisected on division.  The observation that cell diameter is
-constant suggests that cells are \textit{rigid} except in the direction of
-their growth axis. Following this suggestion, we formulated a simple model of
-cellular growth on an agar substrate as follows: 
-\begin{enumerate} 
-\item Cells are rigid elongating capsules~\cite{Koch:1995}.  
-\item Viscous drag dominates inertia; cells are non-motile and move only when
-subjected to a force~\cite{Purcell:1977}.  
-\item The distribution of cell lengths at division is constant, and each cell
-divides in half~\cite{Wang:2010,Koch:1995}.    
-\item Each cell's unconstrained growth rate is proportional to its
-length~\cite{Wang:2010}.  
-\item Growth is constrained by forces between cells and from viscous drag from
-the substrate (figure \ref{fig:model}).  The ratio of the work required to
-constrain growth to the work required to move a cell is defined by a parameter
-$\Gamma$.  
-\end{enumerate}
-In a rigid body mechanics model objects cannot be deformed and are completely
-represented by their position and orientation. We extend this formulation by
-allowing cell length to vary, adding an extra degree of freedom to accommodate
-growth.
-
-\section{Mathematical description of biophysical model}
-\subsection{Motion of cells due to applied impulse} 
-Bacterial cells are modelled as capsule-shaped rigid bodies, that is cylinders
-capped with hemispherical ends. Each cell is represented by its
-position, orientation and length ($\vec{x}$, $\vec{\theta}$, $l$), and the
-associated linear, angular, and growth velocity ($\vec{v}_\textrm{lin}$,
-$\vec{w}$, $v_\textrm{growth}$). Here $v_\textrm{growth}$ is the
-linear growth rate $dl/dt$. By extension of the usual rigid-body
-formulation, we define the generalised position of a cell as
-$\tilde{\vec{x}} = 
-\left(\begin{array}{lll}\vec{x} & \vec{\theta} & l \end{array}\right)^T$, and
-the generalised velocity as $\tilde{\vec{v}} = d\tilde{\vec{x}}/dt =  
-\left(\begin{array}{lll}\vec{v}_\textrm{lin} & \vec{w} & v_\textrm{growth} \end{array}\right)^T$.
-Similarly there is a generalised momentum associated with the motion of the cell 
-$\tilde{\vec{p}} =  
-\left(\begin{array}{lll}\vec{p} & \vec{L} & g \end{array}\right)^T$, with
-linear, angular and growth components.
-Cells grow by
-acquiring growth momentum $g$ which causes extension in length.  For a physically
-possible arrangement of cells, this extension in length cannot cause the cells
-to overlap or intersect, leading to a system of constraints. It is the solution
-of this system of constraints, which is derived below, that results in
-computation of the correct arrangement of cells during colony growth.
-
-In appendix \ref{app:eqmot} I show with the assumptions listed above, under a generalised impulse $\Delta
-\tilde{\vec{p}}_i$ the change in generalised position of a cell $\Delta
-\tilde{\vec{x}}_i$ is
-determined by a matrix $\mat{M}_i$ such that:
-\begin{align}
-\Delta \tilde{\vec{ x}}_i &=
-\invmat{M_i} \Delta \tilde{\vec{p}}_i \\
-&=
-\left[
-\begin{array}{ccc}
-\textrm{diag}(\frac{1}{\mu l_0}) & 0 & 0 \\
-0 & \frac{12\mat{P_i}}{\mu l_0^3} & 0 \\
-0 & 0 & \frac{1}{\gamma} \\
-\end{array}
-\right]
-\left[
-\begin{array}{l}
-\deltap_i \\ \deltaL_i \\ \deltag_i
-\end{array}
-\right]%\\
-%&=
-%\mat{M}^{-1}\deltap
-\label{eqn:motion2}
-\end{align}
-where $l_0$ is the length of cell $i$, and $\invmat{M_i}$ is written in block form - $\textrm{diag}(\frac{1}{\mu l_0})$
-and $\frac{12\mat{P}}{\mu l_0^3}$ are $(3\times3)$, and $\frac{1}{\gamma}$ is
-$(1\times1)$. The matrix $\mat{P}$ is the projection onto
-the plane perpendicular to the cell axis $\hat{\vec{a}}$, i.e. $\mat{P}\deltaL
-\equiv \deltaL -
-\hat{\vec{a}}(\hat{\vec{a}} \cdot \deltaL)$.
-
-\begin{note}
-There are 7 degrees of freedom for each cell, hence generalised position,
-velocity and impulse are $7\times1$ vectors. There are 3 components of centroid
-position/velocity/impulse ($\vec{x}$, $\vec{v}_\mathrm{lin}$, $\Delta \vec{p}$),
-3 components of angular position/velocity/impulse ($\vec{\theta}$, $\vec{w}$,
-$\deltaL$), and 1 component of length/growth rate/growth impulse ($l$,
-$v_\textrm{growth}$, $g$).
-\end{note}
-
-\begin{center}
-\begin{figure}[p]\centering
-\subfloat[]{\includegraphics[scale=0.75]{cellforces}}\qquad
-\subfloat[]{\includegraphics{cellvel}}
-\caption[Biophysical model of rod-shaped bacteria, forces and motion]
-{Biophysical model of rod-shaped bacteria considers each cell as a capsule
-(shown in two-dimensions). Forces on each cell (a) are generated by viscous drag
-(red) and constraints at cell-cell contacts (black). The velocity of a point on
-a cell consists of multiple components (b): the cell centre of mass (red circle)
-moves with linear velocity $\vec{v}_\textrm{lin}$, the cell rotates with angular
-velocity $\vec{w}$, and grows at instantaneous linear rate $v_\textrm{growth}$ causing all points to
-move away from the centre of mass along the axis ($\hat{\vec{a}}$).}
-\label{fig:model}
-\end{figure}
-\end{center}
-
-\begin{center}
-\begin{figure}[p]\centering
-\includegraphics[scale=0.75]{celloverlap}
-\caption{}
-\label{fig:overlap}
-\end{figure}
-\end{center}
-
-\subsection{Motion of points on cell surfaces}
-We described above the change in generalised position of a cell due to a
-generalised impulse, that is the change in its centroid location, angular
-orientation, and length. Now consider the motion of a point on the
-surface of this cell due to the change in generalised position. This point is
-positioned according to vector $\vec{q}$ from the center
-of the capsule $\vec{x}_i$, which has axis $\hat{\vec{a}}_i$.  Its original position is
-$\vec{q}_w = \vec{x}_i + \vec{q}$.
-For small displacments the cell axis $\hat{\vec{a}}_i$, the associated
-projection matrix $\mat{P}_i$, and the cell length $l_0$ remain approximately constant, and
-\[
-\Delta \vec{q}_w \approx
-\Delta \vec{ x_i} +
-(\Delta \vec{\theta_i}\times\vec{q}) +
-\frac{\Delta l_i}{l_0} \left(\hat{a}_i\cdot\vec{q}\right)\hat{a}_i
-\]
-
-And substituting from equation \ref{eqn:motion}:
-\begin{align*}
-\Delta \vec{ q}_w &\approx
-\Delta \vec{ x_i} -
-(\vec{q} \times \Delta \vec{\theta_i}) +
-\frac{\left(\hat{a}_i\cdot\vec{q}\right)\hat{a}_i}{l_0} \Delta l_i \\
-&\approx
-\frac{1}{\mu l_0} \deltap_i -
-(\vec{q} \times \frac{12\mat{P}_i}{\mu l_0^3}\deltaL_i) +
-\frac{\left(\hat{a}_i\cdot\vec{q}\right)\hat{a}_i}{l_0}\frac{\deltag_i}{\gamma}
-\end{align*}
-
-Now project this vector along the direction vector $\hat{n}$ of interest to get
-the position change in a particular direction:
-\begin{align*}
-\Delta q_{\hat{n}}
-&=
-\hat{n} \cdot
-\left(
-\frac{1}{\mu l_0} \deltap_i -
-(\vec{q} \times \frac{12\mat{P}_i}{\mu l_0^3}\deltaL_i) +
-\frac{\left(\hat{a}_i\cdot\vec{q}\right)\hat{a}_i}{l_0}\frac{\deltag_i}{\gamma}
-\right) \\
-&=
-\frac{1}{\mu l_0}\hat{n}\cdot\deltap_i -
-\frac{12}{\mu l_0^3}\left(\hat{n}\times\vec{q}\right)\cdot \mat{P}_i\deltaL_i +
-\frac{\left(\hat{n}\cdot\hat{a}_i\right)\left(\hat{q}\cdot\hat{a}_i\right)}{l_0}\frac{\deltag_i}{\gamma} \\
-\end{align*}
-
-Which can be written in block matrix form as:
-\begin{align*}
-\Delta  q_{\hat{n}}
-&=
-\left[
-\begin{array}{lll}
-\hat{n}^{\textrm{T}} & -\left(\hat{n}\times\vec{q}\right)^{\textrm{T}} &
-\frac{\left(\hat{n}\cdot\hat{a}_i\right)\left(\vec{q}\cdot\hat{a}_i\right)}{l_0} \\
-\end{array}
-\right]
-\left[
-\begin{array}{lll}
-\frac{1}{\mu l_0} & 0 & 0 \\
-0 & \frac{12\mat{P}_i}{\mu l_0^3} & 0 \\
-0 & 0 & \frac{1}{\gamma} \\
-\end{array}
-\right]
-\left[
-\begin{array}{l}
-\deltap_i \\ \deltaL_i \\ \deltag_i
-\end{array}
-\right]\\
-&= \mat{B}_{\hat{n},\vec{q},i}\invmat{M}_i\Delta\tilde{\vec{p}}_i
-\end{align*}
-
-Here $\mat{B}_{\hat{n},\vec{q},i}$ is a matrix which represents 
-the geometric effect of a generalised position change on a point at $\vec{q}$
-from the centre of cell $i$ along direction $\hat{n}$, and
-matrix $\invmat{M}_i$ is the inverse drag matrix for cell $i$. 
-The expression for $\Delta q_{\hat{n}}$ represents the motion of the surface point
-at position $\vec{q}$ relative to the capsule centre in the direction $\hat{n}$ that
-results from application of generalised impulse $\Delta \tilde{\vec{p}}$. This quantity is central
-to the formation of the constraints explained below.
-
-\subsection{Effect of a set of applied impulses on cell-cell overlap distances}
-Now consider two overlapping capsules $a$ and $b$, forming contact $k$. We find the contact points on
-each cell $\vec{z}_{ak}$ and $\vec{z}_{bk}$ as described above (figure \ref{fig:overlap}). The
-change in overlap distance $d_k$ is the difference in the movement of these
-contact points along the contact normal $\hat{n}_k$. That is for generalised
-impulses $\Delta\tilde{\vec{p}}_a$ and $\Delta\tilde{\vec{p}}_b$ applied to cell
-$a$ and $b$,
-\begin{align*}
-\mat{B}_{ak} \Minv_a \Delta\tilde{\vec{p}}_a -
-\mat{B}_{bk} \Minv_b \Delta\tilde{\vec{p}}_b
-&=
-\Delta d_k \\
-\end{align*}
-where $\mat{B}_{ak}$
-and $\mat{B}_{bk}$ are as $\mat{B}$ matrices as defined above using the contact normal 
-$\hat{\vec{n}}_k$ as the direction vector, and the relative positions of
-$\vec{z}_{ak}$ and $\vec{z}_{bk}$ from their respective cells.  Viewed in block matrix form:
-\begin{align*}
-\left[
-\begin{array}{ll}
-\mat{B}_{ak} \Minv_a &
--\mat{B}_{bk} \Minv_b \\
-\end{array}
-\right]
-\left[
-\begin{array}{l}
-\Delta\tilde{\vec{p}}_a \\
-\Delta\tilde{\vec{p}}_b \\
-\end{array}
-\right]
-=
-\left[
-\begin{array}{l}
-\Delta d_k
-\end{array}
-\right]
-\end{align*}
-
-In a system of multiple cells, there will be one such equation for each contact $k$ between two capsules.
-To solve all these equations simultaneously, each equation becomes a
-row in a matrix equation.  For example, with four cells and
-three contacts, the
-system might be:
-\begin{align*}
-\left[
-\begin{array}{llll}
-\mat{B}_{a1}\Minv_1 & -\mat{B}_{b1}\Minv_2 & 0 & 0 \\
-\mat{B}_{a2}\Minv_1 & 0 & -\mat{B}_{c2}\Minv_3 & 0 \\
-0 & \mat{B}_{b3}\Minv_1 & 0 & -\mat{B}_{d3}\Minv_4 \\
-\end{array}
-\right]
-\left[
-\begin{array}{c}
-\Delta\tilde{\vec{p}}_a\\
-\Delta\tilde{\vec{p}}_b\\
-\Delta\tilde{\vec{p}}_c\\
-\Delta\tilde{\vec{p}}_d\\
-\end{array}
-\right]
-=
-\left[
-\begin{array}{c}
-\Delta d_1\\
-\Delta d_2\\
-\Delta d_3\\
-\end{array}
-\right]
-\end{align*}
-
-\begin{align*}
-\left[
-\begin{array}{llll}
-\mat{B}_{a1} & -\mat{B}_{b1} & 0 & 0 \\
-\mat{B}_{a2} & 0 & -\mat{B}_{c2} & 0 \\
-0 & \mat{B}_{b3} & 0 & -\mat{B}_{d3} \\
-\end{array}
-\right]
-\left[
-\begin{array}{llll}
-\Minv_1 & 0 & 0 & 0 \\
-0 & \Minv_2 & 0 & 0 \\
-0 & 0 & \Minv_3 & 0 \\
-0 & 0 & 0 & \Minv_1  \\
-\end{array}
-\right]
-\left[
-\begin{array}{c}
-\Delta\tilde{\vec{p}}_a\\
-\Delta\tilde{\vec{p}}_b\\
-\Delta\tilde{\vec{p}}_c\\
-\Delta\tilde{\vec{p}}_d\\
-\end{array}
-\right]
-=
-\left[
-\begin{array}{c}
-\Delta d_1\\
-\Delta d_2\\
-\Delta d_3\\
-\end{array}
-\right]\\
-\end{align*}
-
-and writing the system with single collected matrices and vectors,
-
-\begin{equation*}
-\mat{B} \invmat{M} \Delta \tilde{\vec{p}} = \Delta \vec{d}
-\end{equation*}
-
-\begin{note}
-The elements $\mat{B}_{ij}\invmat{M}_i$ are computed by the \texttt{to\_ents}
-(positive) and
-\texttt{fr\_ents} (negative) arrays ($7\times1$ vectors stored in
-\texttt{float8}) which are stored for each cell for each contact it
-is involved in. We consider contacts to be directed from low to high index, and
-so only the cell with the lowest index in each contact stores and calculates
-these entries.
-\end{note}
-
-\begin{note}
-In the analysis above I have split the matrices $\mat{B}$ and $\invmat{M}$, but
-currently the combination $\mat{B}\invmat{M}$ is computed. It may be better to
-split it so that we can more easily compute other forms of $\mat{B}$, e.g. for adhesion (see
-below). Application of $\invmat{M}$ is already implemented by
-\texttt{compute\_Minvx}.
-\end{note}
-
-
-\subsection{Growth of cells generates impulses to prevent overlap}
-Growth of cells during a discrete time-step $\Delta t$ is modelled by simply
-increasing the length of each cell by $v_\textrm{growth}\Delta t$. This
-causes cells to overlap (figure \ref{fig:overlap}). For a physically correct
-arrangement of cells, reaction or constraint forces must be generated to
-eliminate this overlap.
-
-A capsule of total length $l$ and radius $r$
-is defined as the locus of points within a
-radius $r$ of the line segment of length $l-2r$ along its axis.
-When two such capsules overlap, we define the points of intersection on each cell
-($\vec{z}$ in figure \ref{fig:overlap}) as follows. First we find the closest points
-on each cell's axis line segment. The line joining these points then intersects
-each cell surface at points labelled $\vec{z}$, where it is normal to the surface.
-Hence we have defined contact points on each cell, and the normal to the contact
-$\hat{\vec{n}}$. The distance of overlap $d$ for each contact is then determined
-by the distance between the contact points along the contact normal direction
-(figure \ref{fig:overlap}). 
-
-In order to constrain the system of cells to produce
-a physically possible, non-overlapping arrangement, we must find the 
-impulse applied to each cell $\Delta \tilde{\vec{p}}$ that produces a change in
-the overlap distance so that $d=0$ for each contact. 
-We have just described how these overlap distances are changed by a set of
-applied impulses, and so we can now formulate the constraint system.
-
-\subsection{Constraint formulation}
-To form a physically possible arrangement of cells after increasing their length
-we wish to apply constraint impulses to cells such that
-\begin{eqnarray*}
-\vec{d} + \Delta \vec{d} &=& 0\\
-\Delta \vec{d} &=& -\vec{d}
-\end{eqnarray*}
-As shown above the change in overlaps $\Delta \vec{d}$ produced by a set of
-generalised impulses $\Delta \tilde{\vec{p}}$ means that
-\[
-\mat{B}\invmat{M}\Delta\tilde{\vec{p}} = \mat{A}\Delta\tilde{\vec{p}} = \Delta
-\vec{d}
-\]
-where $\mat{A}$ is a block matrix $n_{\textrm{contacts}} \times
-n_{\textrm{cells}}$, $\Delta\tilde{\vec{p}}$ is a block vector $n_{\textrm{cells}} \times 1$ and
-$\vec{d}$ is  $n_{\textrm{contacts}}\times 1$. Hence the constrained system is
-given by:
-\[
-\mat{A}\Delta\tilde{\vec{p}} + \vec{d} = 0
-\]
-Hence we have formulated the system of constraints as a linear system. Given the
-solution of this system, the change in generalised position of each cell is then $\Minv \Delta\tilde{\vec{p}}$.
-However it is clear that in general this linear system does not have a unique solution.
-To see this consider that cells may move perpendicular to the normal(s) of their
-contact(s) without affecting $\Delta \vec{d}$.
-
-\subsection{Energy minimising solution}
-The least squares solution of the constraint system is:
-\[\underset{\deltap}{\operatorname{argmin}}
-\left\{
-\left\|\mat{A}\Delta\tilde{\vec{p}} + \vec{d}\right\|^2 \right\} \]
-%\[\mat{A}^{\textrm{T}}\mat{A}\deltap = -\mat{A}^{\textrm{T}}\vec{d}\]
-where the expression $\mat{A}\Delta\tilde{\vec{p}} + \vec{d}$ is the vector of overlap
-distances of each contact after application of impulses $\Delta \tilde{\vec{p}}$. If we interpret the least-squares
-solution as an energy minimising solution, where the energy is
-associated with the overlap of each contact. If the overlap at each
-contact is $\vec{\epsilon}$, and if the energy is stored in an elastic
-fashion, then this energy is:
-\[\frac{1}{2}\vec{\epsilon}^T \mat{K} \vec{\epsilon}
- =  \frac{1}{2}\left\| \sqrt{\mat{K}}\vec{\epsilon} \right\|^2
- = \frac{1}{2}\left\| \sqrt{\mat{K}}\left(\mat{A}\Delta\tilde{\vec{p}} + \vec{d}\right) \right\|^2 \]
- where $\mat{K}$ is a diagonal stiffness coefficient matrix. So
-it is implicit in the above minimisation that $\mat{K}=2\mat{I}$. If
-all the stiffnesses are the same (i.e. $\mat{K} = K\mat{I}$), then
-this makes no difference to the solution.  If some
-contacts softer than others are required, the corresponding entry should be changed such that
-$K_i<1$. We use this approach to approximate the 
-effect of a soft agarose substrate. This is a bit of distraction for now, so
-lets just stick with $\mat{K}=\mat{I}$.
-
-As explained above the matrix $\mat{A}$ will typically be poorly conditioned,
-and the matrix $\mat{A}^T\mat{A}$ will be even worse. So we still can't get a
-unique solution. The usual approach is to use regularisation to `select' a
-solution.
-Following the energy minimisation formalism the solution obtained should
-minimise the work done or energy expended by the constraint impulses.
-Given an impulse $\Delta \tilde{\vec{p}}$ and time step $\Delta t$, the average
-force applied over the time step is $\vec{F}=\Delta \tilde{\vec{p}}/\Delta t$. The work
-done by these forces is then
-\begin{eqnarray*}
-W &=& \vec{F}\Delta \tilde{\vec{x}} \\
-&=& \vec{F} \invmat{M} \Delta \tilde{\vec{p}} \\
-&=& \frac{1}{\Delta t} \Delta \tilde{\vec{p}}^\textrm{T} \invmat{M}\Delta \tilde{\vec{p}}
-\end{eqnarray*}
-Combining this
-with the overlap energy described above leads to the problem
-\[\underset{\deltap}{\operatorname{argmin}}
-\left\{
-\left\|\mat{A}\Delta\tilde{\vec{p}} + \vec{d}\right\|^2 + \frac{\alpha}{\Delta
-t} \Delta \tilde{\vec{p}}^\textrm{T}\invmat{M}\Delta \tilde{\vec{p}} \right\} \]
-where $\alpha$ is a regularisation parameter. In this case we can interpret
-$\alpha$ physically as the relative energy cost of cell-cell overlap (e.g. due
-to deformation of the cell wall) compared to the energy cost in overcoming drag.
-Differentiating the above total energy, and setting to zero gives:
-\begin{equation}
-\left(\mat{A}^{\textrm{T}}\mat{A} + \frac{\alpha}{\Delta t}\Minv\right)\Delta \tilde{\vec{p}} = -\mat{A}^{\textrm{T}}\vec{d}
-\label{eqn:finalsystem}
-\end{equation}
-
-It is now clear that \textit{any} quadratic energy term can be included in the
-system by forming the appropriate matrix $\mat{H}$ such that the energy is given
-by $E = \|\mat{H}\Delta \tilde{\vec{p}} \|^2$. Or maybe more usefully, the
-energy can be defined directly in terms of change in generalised position
-$\Delta \tilde{\vec{x}}$ as $E = \|\mat{G}\Delta \tilde{\vec{x}} \|^2 =
-\|\mat{G}\invmat{M}\Delta \tilde{\vec{p}} \|^2$, and the linear system is then
-given by
-\begin{equation}
-\left(\frac{1}{\alpha}\mat{A}^{\textrm{T}}\mat{A} + \frac{1}{\Delta t}\Minv +
-\invmat{M}\mat{G}^\textrm{T} \mat{G}\invmat{M} \right) \Delta \tilde{\vec{p}} = -\mat{A}^{\textrm{T}}\vec{d}
-\label{eqn:finalsystem}
-\end{equation}
-where I have moved the $\alpha$ to make clear its physical interpretation as the
-relative cost of overlap. Note also I have used the fact that
-$\mat{M}^{-\textrm{T}} \equiv \invmat{M}$ because it is diagonal except for terms
-involving the projection matrices $\mat{P}_i$, which are themselves symmetric by
-definition.
-
-\begin{note}
-Writing out the matrix $\mat{A}=\mat{B}\invmat{M}$ and $\Delta \tilde{\vec{p}} =
-\mat{M}\Delta \tilde{\vec{x}}$ in the above system gives a
-factor of $\invmat{M}$ which could be eliminated. However, this is actually
-acting as a right-preconditioner. Similarly expanding
-$\mat{A}^\textrm{T}=\invmat{M}\mat{B}^\textrm{T}$ gives us left-preconditioning.
-Hence we have split-preconditioning. 
-I'm pretty sure we did some testing and the preconditioning did improve
-the condition number.
-\end{note}
-
-\begin{note}
-The factor of $1/\Delta t$ is not computed in the current code. At the
-time we were considering a kind of ad hoc regularisation term rather than
-explicitly minimising physical work. Adding the $1/\Delta t$ makes sense. 
-\end{note}
-
-\begin{note}
-In the current code the viscosity from substrate per unit length of cells $\mu$
-is set at $\mu=1$ -
-i.e. it is factored out of the $\invmat{M}$ matrices. This means that the
-parameter $\alpha$ incorporates the value of $\mu$ into the ratio of drag from the substrate to
-resistance to deformation of cells. It seems sensible that this should be the
-same as the ratio $\Gamma = \mu/\gamma$, where $\gamma$ is the resistance to
-change in length (see appendix). This would be nice because the whole model
-would then be parameterised only by $\Gamma$. Need to think about this a bit more.
-\end{note}
-
-\section{Adhesion}
-Now we want to form a matrix $\mat{G}$ that adds a quadratic energy to the
-system to simulate adhesion. Consider adhesion that acts only in the plane of
-the cell surface at each contact (tangent plane), such that $E_k = (\Delta
-d^{\perp}_k)^2 = \|\Delta \vec{d}^\perp_k\|^2$ where $\Delta \vec{d}^\perp_k$ is
-the movement vector in the tangent plane
-between contact points on each cell involved in contact $k$. This is a
-$3\times1$ vector that is the projection of the total movement into the tangent plane of
-the contact. In this case
-\begin{equation*}
-\mat{G}\invmat{M}\Delta \tilde{\vec{p}} = \Delta \vec{d}^\perp
-\end{equation*}
-where the matrices and vectors are in block form, with one block per cell or
-contact.
-
-This matrix $\mat{G}$ is closely related to the above described $\mat{B}$
-matrix, which projects the movement of each contact point along its respective contact
-normal $\hat{n}_k$. The tangent plane is perpendicular to this normal vector.
-For cell $i$ and contact $k$,
-\begin{equation*}
-\mat{B}_{ik} = 
-\left[
-\begin{array}{lll}
-\hat{n}_k^{\textrm{T}} & -\left(\hat{n}_k\times\vec{z}_{ik}\right)^{\textrm{T}} &
-\frac{\left(\hat{n}_k\cdot\hat{a}_i\right)\left(\vec{z}_{ik}\cdot\hat{a}_i\right)}{l_0} \\
-\end{array}
-\right]
-\end{equation*}
-where $\mat{B}_{ik}$ is a $1\times7$ matrix. The matrix blocks $\mat{G}_{ik}$
-are $3\times7$ and given by
-\begin{eqnarray*}
-\mat{G}_{ik} &=& 
-\left[
-\begin{array}{lll}
-\mat{Q} & \mat{Q}\mat{Z}^\times_{ik} &
-\left[\hat{a}_i - \hat{n}_k\left(\hat{n}_k\cdot\hat{a}_i\right)\right] \frac{\left(\vec{z}_{ik}\cdot\hat{a}_i\right)}{l_0} \\
-\end{array}
-\right]\\
-&=&
-\left[
-\begin{array}{lll}
-\mat{Q} & \mat{Q}\mat{Z}^\times_{ik} &
-\frac{\left(\vec{z}_{ik}\cdot\hat{a}_i\right)}{l_0} \mat{Q}\hat{a}_i \\
-\end{array}
-\right]\\
-&=& 
-\mat{Q}
-\left[
-\begin{array}{lll}
-\mat{I} & \mat{Z}^\times_{ik} &
-\frac{\left(\vec{z}_{ik}\cdot\hat{a}_i\right)}{l_0} \hat{a}_i \\
-\end{array}
-\right]
-\end{eqnarray*}
-Here $\mat{Q}$ is the $3\times3$ matrix projecting into the tangent plane, so that for any vector
-$\vec{u}$
-\begin{equation}
-\mat{Q}\vec{u} = \vec{u} - \hat{n}_k\left(\hat{n}_k \cdot \vec{u}\right)
-\label{eqn:Q}
-\end{equation}
-and $\mat{Z}^\times_{ik}$ is the matrix representing the cross product
-\begin{equation}
-\mat{Z}^\times_{ik} \vec{u} = \vec{z}_{ik} \times \vec{u}
-\label{eqn:Z}
-\end{equation}
-These first two blocks ($\mat{Q}$ and $\mat{Q}\mat{Z}^\times_{ik}$) of $\mat{G}_{ik}$ are $3\times3$ and the third 
-($\frac{\left(\vec{z}_{ik}\cdot\hat{a}_i\right)}{l_0} \mat{Q}\vec{a}_i$) is
-$3\times1$.
-
-\begin{note}
-We could explicitly store the $3\times3$ blocks and apply them as matrix
-multiplications. However, it is more efficient to do the computation directly
-using equations \ref{eqn:Q} and \ref{eqn:Z}.
-\end{note}
-
-\begin{note}
-The result of applying each block $\mat{G}_{ik}$ to the cells impulse $\Delta
-\tilde{\vec{p}}_i$ is a $3\times1$ vector. Hence the array storing the result of
-$\mat{G}\Delta \tilde{\vec{p}}$ must use \texttt{float4} types. This might seem
-counterintuitive since the distances are projected onto a plane, but note that
-the tangent plane of each contact is in general different.
-\end{note}
-
-\section{Viscous adhesion}
-Because we recompute the closest points for contacts at each time step the above
-described adhesion energy will be completely dissipated. This is effectively a
-viscous model in which
-\begin{equation*}
-\vec{F} = C \frac{d\vec{x}}{dt} \approx C \frac{\Delta \vec{x}}{\Delta t}
-\end{equation*}
-and thus $E \approx \frac{1}{\Delta t}C\|\Delta \vec{x}\|^2$. So that using the
-above analyis the energy from viscous adhesion is given by
-\begin{equation*}
-E = \left(\frac{1}{\Delta t}C \right) \|\mat{G}\invmat{M}\Delta \tilde{\vec{p}}\|^2
-\end{equation*}
-for the same viscosity coefficient at each contact. More generally,
-\begin{equation*}
-E = \left(\frac{1}{\Delta t} \right) 
-\Delta \tilde{\vec{p}}^\textrm{T}\invmat{M}\mat{G}^\textrm{T}\mat{C}\mat{G}\invmat{M}\Delta \tilde{\vec{p}}
-\end{equation*}
-where $\mat{C}$ is a diagonal matrix of viscosity coefficients for each contact.
-In practice this matrix is best implemented by just scaling each block
-$\mat{G}_{ik}$ by the appropriate coefficient.
-
-\begin{note}
-The scaling by $1/\Delta t$ is required to make this purely viscous model physically sensible.
-To implement a purely elastic model of contact would require keeping track of
-the original point of contact between each pair of cells.
-\end{note}
-
-\section{Implementation in CellModeller4}
-The following table describes which functions or OpenCL kernels perform which
-calculations and data arrays that contain the results, using the mathematical notation above.
-
-\begin{table}[H]
-\begin{tabular}{c c  p{4in}}
-\toprule
-Function/kernel & Maths & Description\\
-\midrule
-\texttt{find\_contacts} & $\vec{d}$, $\hat{\vec{n}}$ & Finds overlapping cells
-and computes the overlap distance $d_k$ and surface normal $\hat{\vec{n}}_k$ for
-each contact $k$.\\
-\addlinespace
-\texttt{rel\_dists} & $\vec{d}$ & Stores the vector of overlap distances, one
-element (\texttt{float}) per contact.\\
-\addlinespace
-\texttt{compute\_Minvx} & $\invmat{M}$ & Applies the inverse drag matrix to some
-given vector of length $n_\mathrm{cells}$ and type \texttt{float8} (only first 7
-elements are used). It does this per cell, by applying its $\invmat{M}_i$ matrix
-block.\\
-\bottomrule
-\end{tabular}
-\end{table}
-
-% Long maths in appendix for ease of reading
-\begin{appendices}
-\chapter{Equations of motion}
-\label{app:eqmot}
-Consider a capsule with main axis $\hat{\vec{a}}$, mass $m$, and length $l$.  
-When in motion the capsule is associated with linear ($\vec{v}_\textrm{lin}$),
-angular ($\vec{w}$), and growth ($v_\textrm{growth}$) velocities (figure
-\ref{fig:model}b).
-Now consider a point on the
-surface of the capsule with position $\vec{r}$ relative to the
-capsule's center of mass.  The velocity of that point is given by:
-\begin{align*}
-\vec{v}_{r}
-&=
-\vec{v}_\textrm{lin}
-+ \vec{w} \times \vec{r}
-+ \frac{1}{2}\frac{\hat{a}\cdot\vec{r}}{l_0}\hat{a}v_\textrm{growth} \\
-&=
-\vec{v}_\textrm{lin}
-- \vec{r} \times \vec{w}
-+ \frac{1}{2}\frac{\hat{a}\cdot\vec{r}}{l_0}\hat{a}v_\textrm{growth}
-\end{align*}
-where $l_0$ is the current capsule length. The first term in this expression is
-the linear velocity of the whole cell, the second term is the angular component,
-and the final term is due to growth. Growth is assumed to occur by extension of
-all parts of the cell wall along the axis, meaning that any point on the cell is
-moving away from the centre of mass at a rate proportional to its distance from 
-the centre. The maximum velocity due to growth then occurs at the tips of the cell
-which are each moving away from the centre of mass at rate
-$\frac{1}{2}v_\textrm{growth}$ along the cell axis $\hat{\vec{a}}$.
-
-Each point on the cell surface experiences viscous drag from the growth substrate due
-to its motion.  The viscous drag force on a differential length $dr$ of the
-capsule is approximately given by: \[d\vec{F} = -\mu dr \vec{v}_r\] where $\mu$
-is a drag coefficient per unit length.  To understand the motion of the capsule
-shape, initially at rest, after the application of a generalised impulse
-$\Delta\tilde{\vec{p}}$, which can be divided into linear, angular and growth
-components $\left(\begin{array}{lll}\deltap & \deltaL &
-\deltag\end{array}\right)^T$, we must find the net force on the capsule due to
-viscous drag at each point on its surface. Given this force, Newton's laws can
-be applied to find the change in generalised position.
-
-\section{Linear impulse $\deltap$}
-Approximating the forces on the differential length element at the average
-position, so that position $\vec{r}=r\hat{a}$ lies on the axis of the cell:
-
-\begin{align*}
-d\vec{F} &= -\mu dr \vec{v}_r\\
-d\vec{F} &= -\mu dr
-\left(
-\vec{v}_\textrm{lin}
-- \vec{r} \times \vec{w}
-+ \frac{1}{2}\frac{\hat{a}\cdot\vec{r}}{l_0}\hat{a}v_\textrm{growth}
-\right)
-\\
-d\vec{F} &= -\mu dr
-\left(
-\vec{v}_\textrm{lin}
-- r\hat{a} \times \vec{w}
-+ \frac{1}{2}\frac{r}{l_0}\hat{a}v_\textrm{growth}
-\right)
-\\
-\end{align*}
-
-The total force on the capsule is given by the integral over the length of
-the capsule from $-\frac{l_0}{2}$ to $+\frac{l_0}{2}$. The
-second two terms in the expression for velocity are odd in $r$ and
-so will cancel when integrated so the total force on
-the capsule is:
-\begin{align*}
-\vec{F} &= -\mu \vec{v}_\textrm{lin} \int_{-\frac{l_0}{2}}^{+\frac{l_0}{2}} dr \\
-&= -\mu \vec{v}_\textrm{lin} l_0 \\
-\end{align*}
-And following Newton's laws:
-\begin{align*}
-m \frac{d\vec{v}_\textrm{lin}}{dt} &= -\mu  l_0 \vec{v}_\textrm{lin}\\
-\vec{v}_\textrm{lin} &= v_0\exp{(-\frac{\mu l_0}{m}t)} \\
-&= \frac{\deltap}{m}\exp{(-\frac{\mu l_0}{m}t)} \\
-\end{align*}
-
-The change in position of the centre of mass of the capsule $\vec{x}$ due to
-linear impulse $\deltap$, and thus the change in position of any point on the
-cell is then found as:
-\begin{align*}
-\frac{d\vec{x}}{dt} &= \frac{\deltap}{m}\exp{(-\frac{\mu l_0}{m}t)} \\
-%x &= -\frac{m\deltap}{m\mu l}\exp{(-\frac{\mu l}{m}t)} + C \\
-\Delta \vec{x} &= \frac{\deltap}{\mu l_0}\left(1-\exp{(-\frac{\mu l_0}{m}t)}\right) \\
-\end{align*}
-In the case of a bacterium, inertial effects are very small compared to drag
-forces~\cite{Purcell:1977} meaning $m/\mu \approx 0$, so that the
-exponential term is nearly zero and so:
-\begin{equation}
-\Delta \vec{x} \approx \frac{\deltap}{\mu l_0}
-\label{eqn:deltax}
-\end{equation}
-
-\section{Angular impulse $\Delta\vec{L}$}
-Now consider the rotational motion of the cell.  The torque applied at a
-differential section of the cell at position $\vec{r}=r\hat{\vec{a}}$ is:
-\begin{align*}
-d\vec{\tau} &= \vec{r} \times d\vec{F} \\
-&= \vec{r} \times -\mu dr \vec{v}_r \\
-&= \vec{r} \times -\mu dr \left(
-\vec{v}_\textrm{linear}
-- r\hat{a} \times \vec{w}
-+ \frac{1}{2}\frac{r}{l_0}\hat{a}v_\textrm{growth}
-\right) \\
-\end{align*}
-
-The drag force due to linear velocity makes no total
-contribution to torque (the contributions on the two sides of the
-capsule's center of mass cancel) and neither does drag force due to
-growth velocity (it is parallel to $\vec{r}$).  Note that the triple product:
-\begin{align*}
-\vec{r}\times(\vec{w}\times\vec{r}) &= \vec{w}(\vec{r}\cdot\vec{r}) - \vec{r}(\vec{r}\cdot\vec{w}) \\
-&= \vec{w}r^2 - \vec{r}(\vec{r}\cdot\vec{w})
-\end{align*}
-and so:
-\begin{align*}
-d\tau &= -\mu \left( \vec{w}r^2 - r\hat{a}(r\hat{a}\cdot\vec{w}) \right) dr \\
-    &= -\mu \left( \vec{w} - \hat{a}(\hat{a}\cdot\vec{w}) \right) r^2 dr \\
-\tau &= -\mu \left( \vec{w} - \hat{a}(\hat{a}\cdot\vec{w}) \right) \int_{-\frac{l_0}{2}}^{\frac{l_0}{2}}r^2dr \\
-&=-\frac{1}{12}\mu l_0^3 \left( \vec{w} - \hat{a}(\hat{a}\cdot\vec{w}) \right) = \mat{I}\frac{d\vec{w}}{dt} \\
-\end{align*}
-
-The expression $\vec{w} - \hat{a}(\hat{a}\cdot\vec{w})$ represents a projection of the vector $\vec{w}$ onto the
-plane perpendicular to the axis $\hat{a}$, and can be written as $\mat{P}\vec{w}$ where $\mat{P}$ is the
-appropriate projection matrix:
-
-\begin{align*}
-\tau &=-\frac{1}{12}\mu l_0^3 \mat{P}\vec{w}  = I\frac{d\vec{w}}{dt} \\
-\vec{w} &= \vec{w}_0 \exp{\left( -\frac{\mu l_0^3 \mat{P}t}{12 I} \right)} \\
-\end{align*}
-
-For a projection matrix $\mat{P}$, an exponential of the form $\exp{(k\mat{P})}$, where $k$ is a scalar, is:
-\[\exp{(k\mat{P})} = \mat{P}\exp{(k)} +  \left(\mat{I}-\mat{P}\right)\]
- so:
-\[\vec{w} = \mat{P} \vec{w}_0 \exp{\left( -\frac{\mu l_0^3 t}{12 I} \right)} + \left(\mat{I}-\mat{P}\right) \vec{w}_0\]
-
-
-In which the second term $\left(\mat{I}-\mat{P}\right) \vec{w}_0$ is the angular velocity about the cell axis $\hat{a}$.
-Approximating the capsule as a `slender rod' with no rotational inertia about its axis 
-the second term can be ignored, and:
-
-\begin{align*}
-%\frac{dw}{w} &= -\frac{\mu l^3}{12I}dt \\
-%\log{w} &= -\frac{\mu l^3}{12I}t + C \\
-\vec{w} &= \mat{P} \vec{w}_0\exp{(-\frac{\mu l_0^3}{12I}t)} \\
-&= \frac{\mat{P} \deltaL}{I}\exp{(-\frac{\mu l_0^3}{12I}t)} = \frac{d\vec{\theta}}{dt} \\
-%\Delta \theta &= -\frac{12I \mat{P} \deltaL}{I\mu l_0^3}\exp{(-\frac{\mu l_0^3}{12I}t)} + C \\
-%&= \frac{12 \mat{P} \deltaL}{\mu l_0^3}\left(1-\exp{(-\frac{\mu l_0^3}{12I}t)}\right) \\
-\end{align*}
-
-Making the same approximation for negligible inertia as above $I/\mu \approx
-0$ gives:
-
-\begin{equation}
-\Delta \vec{\theta} \approx \frac{12 \mat{P} \deltaL}{\mu l_0^3} 
-\label{eqn:deltatheta}
-\end{equation}
-
-So, the effect of a rotational impulse is projected onto the plane of the cell axis - that is, it only causes rotation 
-about the other two axes.
-
-\section{Growth impulse $\Delta g$}
-A growth impulse tends to elongate the cell, and is resisted by compressive forces along the axis of the capsule due to drag:
-
-\begin{align*}
-    F_c &= \mu \frac{1}{2} \left[ \int_{0}^{\frac{l_0}{2}}{\frac{r}{l_0}v_\textrm{growth}} dr 
-    - \int_{-\frac{l_0}{2}}^{0}{\frac{r}{l_0}v_\textrm{growth}} dr \right] \\
-    &= \frac{\mu}{2} v_\textrm{growth} \left[ \int_{0}^{\frac{l_0}{2}}{\frac{r}{l_0}} dr 
-    - \int_{-\frac{l_0}{2}}^{0}{\frac{r}{l_0}} dr \right] \\
-    &= \frac{\mu l_0}{8} v_\textrm{growth}
-\end{align*}
-
-%Here we have written the same drag coefficient $\mu$. We incorporate forces from the cells growth,
-% and resulting resistance to length change, as a drag term. Thus rewriting:
-This is the drag due to interaction with the substrate. In order to
-model the cell's resistance to change in length due to its own structural and
-mechanical properties, I incorporate an additional
-drag term:
-\begin{align*}
-    F_c = \left( \frac{\mu l_0}{8} + \gamma \right) v_\textrm{growth}
-\end{align*}
-where $\gamma$ describes cell growth drag. Following the same
-reasoning as above, integrating and neglecting inertial effects, and assuming
-that $\Delta l << l$ so that $l_0$ can be taken as constant, the effect of
-growth impulse $\delta g$ on cell length is:
-\begin{align*}
-    \Delta l \approx \frac{8 \Delta g}{\mu l_0 + 8 \gamma}
-\end{align*}
-where $\Delta g$ is the applied growth impulse. Assuming that the resistance of
-the cell to deformation dominates viscous drag from the substrate, then
-this can be reduced to:
-\begin{equation}
-    \Delta l \approx \frac{\Delta g}{\gamma}
-    \label{eqn:deltal}
-\end{equation}
-
-\section{Motion due to generalised impulse}
-%We have shown above that the change in the capsule generalised position vector
-Combining the results for each component of motion from equations
-\ref{eqn:deltax}, \ref{eqn:deltatheta} and \ref{eqn:deltal}, the change in generalised
-position $\tilde{\vec{x}} = \left(\begin{array}{lll}\vec{x} & \vec{\theta} & l
-\end{array}\right)^T$ after the application of a general impulse $\Delta\tilde{\vec{p}} =
-\left(\begin{array}{lll} \deltap & \deltaL & \deltag\end{array}\right)^T$
-can be written in block matrix form as:
-\begin{align}
-\Delta \tilde{\vec{ x}} &=
-\left[
-\begin{array}{l}
-\frac{\deltap}{\mu l_0} \\
-\frac{12\mat{P}\deltaL}{\mu l_0^3} \\
-\frac{\deltag}{\gamma} \\
-\end{array}
-\right] \\
-&=
-\left[
-\begin{array}{lll}
-\textrm{diag}(\frac{1}{\mu l_0}) & 0 & 0 \\
-0 & \frac{12\mat{P}}{\mu l_0^3} & 0 \\
-0 & 0 & \frac{1}{\gamma} \\
-\end{array}
-\right]
-\left[
-\begin{array}{l}
-\deltap \\ \deltaL \\ \deltag
-\end{array}
-\right]%\\
-%&=
-%\mat{M}^{-1}\deltap
-\label{eqn:motion}
-\end{align}
-
-
-\end{document}
diff --git a/Doc/modules.pdf b/Doc/modules.pdf
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diff --git a/DoxygenConfig b/DoxygenConfig
deleted file mode 100644
index 86b2c5fe..00000000
--- a/DoxygenConfig
+++ /dev/null
@@ -1,2366 +0,0 @@
-# Doxyfile 1.8.9.1
-
-# This file describes the settings to be used by the documentation system
-# doxygen (www.doxygen.org) for a project.
-#
-# All text after a double hash (##) is considered a comment and is placed in
-# front of the TAG it is preceding.
-#
-# All text after a single hash (#) is considered a comment and will be ignored.
-# The format is:
-# TAG = value [value, ...]
-# For lists, items can also be appended using:
-# TAG += value [value, ...]
-# Values that contain spaces should be placed between quotes (\" \").
-
-#---------------------------------------------------------------------------
-# Project related configuration options
-#---------------------------------------------------------------------------
-
-# This tag specifies the encoding used for all characters in the config file
-# that follow. The default is UTF-8 which is also the encoding used for all text
-# before the first occurrence of this tag. Doxygen uses libiconv (or the iconv
-# built into libc) for the transcoding. See http://www.gnu.org/software/libiconv
-# for the list of possible encodings.
-# The default value is: UTF-8.
-
-DOXYFILE_ENCODING      = UTF-8
-
-# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
-# double-quotes, unless you are using Doxywizard) that should identify the
-# project for which the documentation is generated. This name is used in the
-# title of most generated pages and in a few other places.
-# The default value is: My Project.
-
-PROJECT_NAME           = Cellmodeller
-
-# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
-# could be handy for archiving the generated documentation or if some version
-# control system is used.
-
-PROJECT_NUMBER         =
-
-# Using the PROJECT_BRIEF tag one can provide an optional one line description
-# for a project that appears at the top of each page and should give viewer a
-# quick idea about the purpose of the project. Keep the description short.
-
-PROJECT_BRIEF          = 
-
-# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
-# in the documentation. The maximum height of the logo should not exceed 55
-# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy
-# the logo to the output directory.
-
-PROJECT_LOGO           =
-
-# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
-# into which the generated documentation will be written. If a relative path is
-# entered, it will be relative to the location where doxygen was started. If
-# left blank the current directory will be used.
-
-OUTPUT_DIRECTORY       =
-
-# If the CREATE_SUBDIRS tag is set to YES then doxygen will create 4096 sub-
-# directories (in 2 levels) under the output directory of each output format and
-# will distribute the generated files over these directories. Enabling this
-# option can be useful when feeding doxygen a huge amount of source files, where
-# putting all generated files in the same directory would otherwise causes
-# performance problems for the file system.
-# The default value is: NO.
-
-CREATE_SUBDIRS         = NO
-
-# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
-# characters to appear in the names of generated files. If set to NO, non-ASCII
-# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
-# U+3044.
-# The default value is: NO.
-
-ALLOW_UNICODE_NAMES    = NO
-
-# The OUTPUT_LANGUAGE tag is used to specify the language in which all
-# documentation generated by doxygen is written. Doxygen will use this
-# information to generate all constant output in the proper language.
-# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Catalan, Chinese,
-# Chinese-Traditional, Croatian, Czech, Danish, Dutch, English (United States),
-# Esperanto, Farsi (Persian), Finnish, French, German, Greek, Hungarian,
-# Indonesian, Italian, Japanese, Japanese-en (Japanese with English messages),
-# Korean, Korean-en (Korean with English messages), Latvian, Lithuanian,
-# Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, Romanian, Russian,
-# Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, Swedish, Turkish,
-# Ukrainian and Vietnamese.
-# The default value is: English.
-
-OUTPUT_LANGUAGE        = English
-
-# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member
-# descriptions after the members that are listed in the file and class
-# documentation (similar to Javadoc). Set to NO to disable this.
-# The default value is: YES.
-
-BRIEF_MEMBER_DESC      = YES
-
-# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief
-# description of a member or function before the detailed description
-#
-# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
-# brief descriptions will be completely suppressed.
-# The default value is: YES.
-
-REPEAT_BRIEF           = YES
-
-# This tag implements a quasi-intelligent brief description abbreviator that is
-# used to form the text in various listings. Each string in this list, if found
-# as the leading text of the brief description, will be stripped from the text
-# and the result, after processing the whole list, is used as the annotated
-# text. Otherwise, the brief description is used as-is. If left blank, the
-# following values are used ($name is automatically replaced with the name of
-# the entity):The $name class, The $name widget, The $name file, is, provides,
-# specifies, contains, represents, a, an and the.
-
-ABBREVIATE_BRIEF       =
-
-# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
-# doxygen will generate a detailed section even if there is only a brief
-# description.
-# The default value is: NO.
-
-ALWAYS_DETAILED_SEC    = NO
-
-# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
-# inherited members of a class in the documentation of that class as if those
-# members were ordinary class members. Constructors, destructors and assignment
-# operators of the base classes will not be shown.
-# The default value is: NO.
-
-INLINE_INHERITED_MEMB  = NO
-
-# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path
-# before files name in the file list and in the header files. If set to NO the
-# shortest path that makes the file name unique will be used
-# The default value is: YES.
-
-FULL_PATH_NAMES        = YES
-
-# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
-# Stripping is only done if one of the specified strings matches the left-hand
-# part of the path. The tag can be used to show relative paths in the file list.
-# If left blank the directory from which doxygen is run is used as the path to
-# strip.
-#
-# Note that you can specify absolute paths here, but also relative paths, which
-# will be relative from the directory where doxygen is started.
-# This tag requires that the tag FULL_PATH_NAMES is set to YES.
-
-STRIP_FROM_PATH        =
-
-# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
-# path mentioned in the documentation of a class, which tells the reader which
-# header file to include in order to use a class. If left blank only the name of
-# the header file containing the class definition is used. Otherwise one should
-# specify the list of include paths that are normally passed to the compiler
-# using the -I flag.
-
-STRIP_FROM_INC_PATH    =
-
-# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
-# less readable) file names. This can be useful is your file systems doesn't
-# support long names like on DOS, Mac, or CD-ROM.
-# The default value is: NO.
-
-SHORT_NAMES            = NO
-
-# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
-# first line (until the first dot) of a Javadoc-style comment as the brief
-# description. If set to NO, the Javadoc-style will behave just like regular Qt-
-# style comments (thus requiring an explicit @brief command for a brief
-# description.)
-# The default value is: NO.
-
-JAVADOC_AUTOBRIEF      = NO
-
-# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
-# line (until the first dot) of a Qt-style comment as the brief description. If
-# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
-# requiring an explicit \brief command for a brief description.)
-# The default value is: NO.
-
-QT_AUTOBRIEF           = NO
-
-# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
-# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
-# a brief description. This used to be the default behavior. The new default is
-# to treat a multi-line C++ comment block as a detailed description. Set this
-# tag to YES if you prefer the old behavior instead.
-#
-# Note that setting this tag to YES also means that rational rose comments are
-# not recognized any more.
-# The default value is: NO.
-
-MULTILINE_CPP_IS_BRIEF = NO
-
-# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
-# documentation from any documented member that it re-implements.
-# The default value is: YES.
-
-INHERIT_DOCS           = YES
-
-# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new
-# page for each member. If set to NO, the documentation of a member will be part
-# of the file/class/namespace that contains it.
-# The default value is: NO.
-
-SEPARATE_MEMBER_PAGES  = NO
-
-# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
-# uses this value to replace tabs by spaces in code fragments.
-# Minimum value: 1, maximum value: 16, default value: 4.
-
-TAB_SIZE               = 4
-
-# This tag can be used to specify a number of aliases that act as commands in
-# the documentation. An alias has the form:
-# name=value
-# For example adding
-# "sideeffect=@par Side Effects:\n"
-# will allow you to put the command \sideeffect (or @sideeffect) in the
-# documentation, which will result in a user-defined paragraph with heading
-# "Side Effects:". You can put \n's in the value part of an alias to insert
-# newlines.
-
-ALIASES                =
-
-# This tag can be used to specify a number of word-keyword mappings (TCL only).
-# A mapping has the form "name=value". For example adding "class=itcl::class"
-# will allow you to use the command class in the itcl::class meaning.
-
-TCL_SUBST              =
-
-# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
-# only. Doxygen will then generate output that is more tailored for C. For
-# instance, some of the names that are used will be different. The list of all
-# members will be omitted, etc.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_FOR_C  = NO
-
-# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
-# Python sources only. Doxygen will then generate output that is more tailored
-# for that language. For instance, namespaces will be presented as packages,
-# qualified scopes will look different, etc.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_JAVA   = NO
-
-# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
-# sources. Doxygen will then generate output that is tailored for Fortran.
-# The default value is: NO.
-
-OPTIMIZE_FOR_FORTRAN   = NO
-
-# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
-# sources. Doxygen will then generate output that is tailored for VHDL.
-# The default value is: NO.
-
-OPTIMIZE_OUTPUT_VHDL   = NO
-
-# Doxygen selects the parser to use depending on the extension of the files it
-# parses. With this tag you can assign which parser to use for a given
-# extension. Doxygen has a built-in mapping, but you can override or extend it
-# using this tag. The format is ext=language, where ext is a file extension, and
-# language is one of the parsers supported by doxygen: IDL, Java, Javascript,
-# C#, C, C++, D, PHP, Objective-C, Python, Fortran (fixed format Fortran:
-# FortranFixed, free formatted Fortran: FortranFree, unknown formatted Fortran:
-# Fortran. In the later case the parser tries to guess whether the code is fixed
-# or free formatted code, this is the default for Fortran type files), VHDL. For
-# instance to make doxygen treat .inc files as Fortran files (default is PHP),
-# and .f files as C (default is Fortran), use: inc=Fortran f=C.
-#
-# Note: For files without extension you can use no_extension as a placeholder.
-#
-# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
-# the files are not read by doxygen.
-
-EXTENSION_MAPPING      =
-
-# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
-# according to the Markdown format, which allows for more readable
-# documentation. See http://daringfireball.net/projects/markdown/ for details.
-# The output of markdown processing is further processed by doxygen, so you can
-# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
-# case of backward compatibilities issues.
-# The default value is: YES.
-
-MARKDOWN_SUPPORT       = YES
-
-# When enabled doxygen tries to link words that correspond to documented
-# classes, or namespaces to their corresponding documentation. Such a link can
-# be prevented in individual cases by putting a % sign in front of the word or
-# globally by setting AUTOLINK_SUPPORT to NO.
-# The default value is: YES.
-
-AUTOLINK_SUPPORT       = YES
-
-# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
-# to include (a tag file for) the STL sources as input, then you should set this
-# tag to YES in order to let doxygen match functions declarations and
-# definitions whose arguments contain STL classes (e.g. func(std::string);
-# versus func(std::string) {}). This also make the inheritance and collaboration
-# diagrams that involve STL classes more complete and accurate.
-# The default value is: NO.
-
-BUILTIN_STL_SUPPORT    = NO
-
-# If you use Microsoft's C++/CLI language, you should set this option to YES to
-# enable parsing support.
-# The default value is: NO.
-
-CPP_CLI_SUPPORT        = NO
-
-# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
-# http://www.riverbankcomputing.co.uk/software/sip/intro) sources only. Doxygen
-# will parse them like normal C++ but will assume all classes use public instead
-# of private inheritance when no explicit protection keyword is present.
-# The default value is: NO.
-
-SIP_SUPPORT            = NO
-
-# For Microsoft's IDL there are propget and propput attributes to indicate
-# getter and setter methods for a property. Setting this option to YES will make
-# doxygen to replace the get and set methods by a property in the documentation.
-# This will only work if the methods are indeed getting or setting a simple
-# type. If this is not the case, or you want to show the methods anyway, you
-# should set this option to NO.
-# The default value is: YES.
-
-IDL_PROPERTY_SUPPORT   = YES
-
-# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
-# tag is set to YES then doxygen will reuse the documentation of the first
-# member in the group (if any) for the other members of the group. By default
-# all members of a group must be documented explicitly.
-# The default value is: NO.
-
-DISTRIBUTE_GROUP_DOC   = NO
-
-# Set the SUBGROUPING tag to YES to allow class member groups of the same type
-# (for instance a group of public functions) to be put as a subgroup of that
-# type (e.g. under the Public Functions section). Set it to NO to prevent
-# subgrouping. Alternatively, this can be done per class using the
-# \nosubgrouping command.
-# The default value is: YES.
-
-SUBGROUPING            = YES
-
-# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
-# are shown inside the group in which they are included (e.g. using \ingroup)
-# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
-# and RTF).
-#
-# Note that this feature does not work in combination with
-# SEPARATE_MEMBER_PAGES.
-# The default value is: NO.
-
-INLINE_GROUPED_CLASSES = NO
-
-# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
-# with only public data fields or simple typedef fields will be shown inline in
-# the documentation of the scope in which they are defined (i.e. file,
-# namespace, or group documentation), provided this scope is documented. If set
-# to NO, structs, classes, and unions are shown on a separate page (for HTML and
-# Man pages) or section (for LaTeX and RTF).
-# The default value is: NO.
-
-INLINE_SIMPLE_STRUCTS  = NO
-
-# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
-# enum is documented as struct, union, or enum with the name of the typedef. So
-# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
-# with name TypeT. When disabled the typedef will appear as a member of a file,
-# namespace, or class. And the struct will be named TypeS. This can typically be
-# useful for C code in case the coding convention dictates that all compound
-# types are typedef'ed and only the typedef is referenced, never the tag name.
-# The default value is: NO.
-
-TYPEDEF_HIDES_STRUCT   = NO
-
-# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
-# cache is used to resolve symbols given their name and scope. Since this can be
-# an expensive process and often the same symbol appears multiple times in the
-# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
-# doxygen will become slower. If the cache is too large, memory is wasted. The
-# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
-# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
-# symbols. At the end of a run doxygen will report the cache usage and suggest
-# the optimal cache size from a speed point of view.
-# Minimum value: 0, maximum value: 9, default value: 0.
-
-LOOKUP_CACHE_SIZE      = 0
-
-#---------------------------------------------------------------------------
-# Build related configuration options
-#---------------------------------------------------------------------------
-
-# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in
-# documentation are documented, even if no documentation was available. Private
-# class members and static file members will be hidden unless the
-# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
-# Note: This will also disable the warnings about undocumented members that are
-# normally produced when WARNINGS is set to YES.
-# The default value is: NO.
-
-EXTRACT_ALL            = YES
-
-# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will
-# be included in the documentation.
-# The default value is: NO.
-
-EXTRACT_PRIVATE        = NO
-
-# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal
-# scope will be included in the documentation.
-# The default value is: NO.
-
-EXTRACT_PACKAGE        = NO
-
-# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be
-# included in the documentation.
-# The default value is: NO.
-
-EXTRACT_STATIC         = NO
-
-# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined
-# locally in source files will be included in the documentation. If set to NO,
-# only classes defined in header files are included. Does not have any effect
-# for Java sources.
-# The default value is: YES.
-
-EXTRACT_LOCAL_CLASSES  = YES
-
-# This flag is only useful for Objective-C code. If set to YES, local methods,
-# which are defined in the implementation section but not in the interface are
-# included in the documentation. If set to NO, only methods in the interface are
-# included.
-# The default value is: NO.
-
-EXTRACT_LOCAL_METHODS  = NO
-
-# If this flag is set to YES, the members of anonymous namespaces will be
-# extracted and appear in the documentation as a namespace called
-# 'anonymous_namespace{file}', where file will be replaced with the base name of
-# the file that contains the anonymous namespace. By default anonymous namespace
-# are hidden.
-# The default value is: NO.
-
-EXTRACT_ANON_NSPACES   = NO
-
-# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
-# undocumented members inside documented classes or files. If set to NO these
-# members will be included in the various overviews, but no documentation
-# section is generated. This option has no effect if EXTRACT_ALL is enabled.
-# The default value is: NO.
-
-HIDE_UNDOC_MEMBERS     = NO
-
-# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
-# undocumented classes that are normally visible in the class hierarchy. If set
-# to NO, these classes will be included in the various overviews. This option
-# has no effect if EXTRACT_ALL is enabled.
-# The default value is: NO.
-
-HIDE_UNDOC_CLASSES     = NO
-
-# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
-# (class|struct|union) declarations. If set to NO, these declarations will be
-# included in the documentation.
-# The default value is: NO.
-
-HIDE_FRIEND_COMPOUNDS  = NO
-
-# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
-# documentation blocks found inside the body of a function. If set to NO, these
-# blocks will be appended to the function's detailed documentation block.
-# The default value is: NO.
-
-HIDE_IN_BODY_DOCS      = NO
-
-# The INTERNAL_DOCS tag determines if documentation that is typed after a
-# \internal command is included. If the tag is set to NO then the documentation
-# will be excluded. Set it to YES to include the internal documentation.
-# The default value is: NO.
-
-INTERNAL_DOCS          = NO
-
-# If the CASE_SENSE_NAMES tag is set to NO then doxygen will only generate file
-# names in lower-case letters. If set to YES, upper-case letters are also
-# allowed. This is useful if you have classes or files whose names only differ
-# in case and if your file system supports case sensitive file names. Windows
-# and Mac users are advised to set this option to NO.
-# The default value is: system dependent.
-
-CASE_SENSE_NAMES       = NO
-
-# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
-# their full class and namespace scopes in the documentation. If set to YES, the
-# scope will be hidden.
-# The default value is: NO.
-
-HIDE_SCOPE_NAMES       = NO
-
-# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will
-# append additional text to a page's title, such as Class Reference. If set to
-# YES the compound reference will be hidden.
-# The default value is: NO.
-
-HIDE_COMPOUND_REFERENCE= NO
-
-# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
-# the files that are included by a file in the documentation of that file.
-# The default value is: YES.
-
-SHOW_INCLUDE_FILES     = YES
-
-# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
-# grouped member an include statement to the documentation, telling the reader
-# which file to include in order to use the member.
-# The default value is: NO.
-
-SHOW_GROUPED_MEMB_INC  = NO
-
-# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
-# files with double quotes in the documentation rather than with sharp brackets.
-# The default value is: NO.
-
-FORCE_LOCAL_INCLUDES   = NO
-
-# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
-# documentation for inline members.
-# The default value is: YES.
-
-INLINE_INFO            = YES
-
-# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
-# (detailed) documentation of file and class members alphabetically by member
-# name. If set to NO, the members will appear in declaration order.
-# The default value is: YES.
-
-SORT_MEMBER_DOCS       = YES
-
-# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
-# descriptions of file, namespace and class members alphabetically by member
-# name. If set to NO, the members will appear in declaration order. Note that
-# this will also influence the order of the classes in the class list.
-# The default value is: NO.
-
-SORT_BRIEF_DOCS        = NO
-
-# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
-# (brief and detailed) documentation of class members so that constructors and
-# destructors are listed first. If set to NO the constructors will appear in the
-# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
-# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
-# member documentation.
-# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
-# detailed member documentation.
-# The default value is: NO.
-
-SORT_MEMBERS_CTORS_1ST = NO
-
-# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
-# of group names into alphabetical order. If set to NO the group names will
-# appear in their defined order.
-# The default value is: NO.
-
-SORT_GROUP_NAMES       = NO
-
-# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
-# fully-qualified names, including namespaces. If set to NO, the class list will
-# be sorted only by class name, not including the namespace part.
-# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
-# Note: This option applies only to the class list, not to the alphabetical
-# list.
-# The default value is: NO.
-
-SORT_BY_SCOPE_NAME     = NO
-
-# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
-# type resolution of all parameters of a function it will reject a match between
-# the prototype and the implementation of a member function even if there is
-# only one candidate or it is obvious which candidate to choose by doing a
-# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
-# accept a match between prototype and implementation in such cases.
-# The default value is: NO.
-
-STRICT_PROTO_MATCHING  = NO
-
-# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo
-# list. This list is created by putting \todo commands in the documentation.
-# The default value is: YES.
-
-GENERATE_TODOLIST      = YES
-
-# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test
-# list. This list is created by putting \test commands in the documentation.
-# The default value is: YES.
-
-GENERATE_TESTLIST      = YES
-
-# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug
-# list. This list is created by putting \bug commands in the documentation.
-# The default value is: YES.
-
-GENERATE_BUGLIST       = YES
-
-# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)
-# the deprecated list. This list is created by putting \deprecated commands in
-# the documentation.
-# The default value is: YES.
-
-GENERATE_DEPRECATEDLIST= YES
-
-# The ENABLED_SECTIONS tag can be used to enable conditional documentation
-# sections, marked by \if <section_label> ... \endif and \cond <section_label>
-# ... \endcond blocks.
-
-ENABLED_SECTIONS       =
-
-# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
-# initial value of a variable or macro / define can have for it to appear in the
-# documentation. If the initializer consists of more lines than specified here
-# it will be hidden. Use a value of 0 to hide initializers completely. The
-# appearance of the value of individual variables and macros / defines can be
-# controlled using \showinitializer or \hideinitializer command in the
-# documentation regardless of this setting.
-# Minimum value: 0, maximum value: 10000, default value: 30.
-
-MAX_INITIALIZER_LINES  = 30
-
-# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
-# the bottom of the documentation of classes and structs. If set to YES, the
-# list will mention the files that were used to generate the documentation.
-# The default value is: YES.
-
-SHOW_USED_FILES        = YES
-
-# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
-# will remove the Files entry from the Quick Index and from the Folder Tree View
-# (if specified).
-# The default value is: YES.
-
-SHOW_FILES             = YES
-
-# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
-# page. This will remove the Namespaces entry from the Quick Index and from the
-# Folder Tree View (if specified).
-# The default value is: YES.
-
-SHOW_NAMESPACES        = YES
-
-# The FILE_VERSION_FILTER tag can be used to specify a program or script that
-# doxygen should invoke to get the current version for each file (typically from
-# the version control system). Doxygen will invoke the program by executing (via
-# popen()) the command command input-file, where command is the value of the
-# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
-# by doxygen. Whatever the program writes to standard output is used as the file
-# version. For an example see the documentation.
-
-FILE_VERSION_FILTER    =
-
-# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
-# by doxygen. The layout file controls the global structure of the generated
-# output files in an output format independent way. To create the layout file
-# that represents doxygen's defaults, run doxygen with the -l option. You can
-# optionally specify a file name after the option, if omitted DoxygenLayout.xml
-# will be used as the name of the layout file.
-#
-# Note that if you run doxygen from a directory containing a file called
-# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
-# tag is left empty.
-
-LAYOUT_FILE            =
-
-# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
-# the reference definitions. This must be a list of .bib files. The .bib
-# extension is automatically appended if omitted. This requires the bibtex tool
-# to be installed. See also http://en.wikipedia.org/wiki/BibTeX for more info.
-# For LaTeX the style of the bibliography can be controlled using
-# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
-# search path. See also \cite for info how to create references.
-
-CITE_BIB_FILES         =
-
-#---------------------------------------------------------------------------
-# Configuration options related to warning and progress messages
-#---------------------------------------------------------------------------
-
-# The QUIET tag can be used to turn on/off the messages that are generated to
-# standard output by doxygen. If QUIET is set to YES this implies that the
-# messages are off.
-# The default value is: NO.
-
-QUIET                  = NO
-
-# The WARNINGS tag can be used to turn on/off the warning messages that are
-# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES
-# this implies that the warnings are on.
-#
-# Tip: Turn warnings on while writing the documentation.
-# The default value is: YES.
-
-WARNINGS               = YES
-
-# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate
-# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
-# will automatically be disabled.
-# The default value is: YES.
-
-WARN_IF_UNDOCUMENTED   = YES
-
-# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
-# potential errors in the documentation, such as not documenting some parameters
-# in a documented function, or documenting parameters that don't exist or using
-# markup commands wrongly.
-# The default value is: YES.
-
-WARN_IF_DOC_ERROR      = YES
-
-# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
-# are documented, but have no documentation for their parameters or return
-# value. If set to NO, doxygen will only warn about wrong or incomplete
-# parameter documentation, but not about the absence of documentation.
-# The default value is: NO.
-
-WARN_NO_PARAMDOC       = NO
-
-# The WARN_FORMAT tag determines the format of the warning messages that doxygen
-# can produce. The string should contain the $file, $line, and $text tags, which
-# will be replaced by the file and line number from which the warning originated
-# and the warning text. Optionally the format may contain $version, which will
-# be replaced by the version of the file (if it could be obtained via
-# FILE_VERSION_FILTER)
-# The default value is: $file:$line: $text.
-
-WARN_FORMAT            = "$file:$line: $text"
-
-# The WARN_LOGFILE tag can be used to specify a file to which warning and error
-# messages should be written. If left blank the output is written to standard
-# error (stderr).
-
-WARN_LOGFILE           =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the input files
-#---------------------------------------------------------------------------
-
-# The INPUT tag is used to specify the files and/or directories that contain
-# documented source files. You may enter file names like myfile.cpp or
-# directories like /usr/src/myproject. Separate the files or directories with
-# spaces.
-# Note: If this tag is empty the current directory is searched.
-
-INPUT                  =
-
-# This tag can be used to specify the character encoding of the source files
-# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
-# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
-# documentation (see: http://www.gnu.org/software/libiconv) for the list of
-# possible encodings.
-# The default value is: UTF-8.
-
-INPUT_ENCODING         = UTF-8
-
-# If the value of the INPUT tag contains directories, you can use the
-# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
-# *.h) to filter out the source-files in the directories. If left blank the
-# following patterns are tested:*.c, *.cc, *.cxx, *.cpp, *.c++, *.java, *.ii,
-# *.ixx, *.ipp, *.i++, *.inl, *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp,
-# *.h++, *.cs, *.d, *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown,
-# *.md, *.mm, *.dox, *.py, *.f90, *.f, *.for, *.tcl, *.vhd, *.vhdl, *.ucf,
-# *.qsf, *.as and *.js.
-
-FILE_PATTERNS          =
-
-# The RECURSIVE tag can be used to specify whether or not subdirectories should
-# be searched for input files as well.
-# The default value is: NO.
-
-RECURSIVE              = YES
-
-# The EXCLUDE tag can be used to specify files and/or directories that should be
-# excluded from the INPUT source files. This way you can easily exclude a
-# subdirectory from a directory tree whose root is specified with the INPUT tag.
-#
-# Note that relative paths are relative to the directory from which doxygen is
-# run.
-
-EXCLUDE                =
-
-# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
-# directories that are symbolic links (a Unix file system feature) are excluded
-# from the input.
-# The default value is: NO.
-
-EXCLUDE_SYMLINKS       = NO
-
-# If the value of the INPUT tag contains directories, you can use the
-# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
-# certain files from those directories.
-#
-# Note that the wildcards are matched against the file with absolute path, so to
-# exclude all test directories for example use the pattern */test/*
-
-EXCLUDE_PATTERNS       =
-
-# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
-# (namespaces, classes, functions, etc.) that should be excluded from the
-# output. The symbol name can be a fully qualified name, a word, or if the
-# wildcard * is used, a substring. Examples: ANamespace, AClass,
-# AClass::ANamespace, ANamespace::*Test
-#
-# Note that the wildcards are matched against the file with absolute path, so to
-# exclude all test directories use the pattern */test/*
-
-EXCLUDE_SYMBOLS        =
-
-# The EXAMPLE_PATH tag can be used to specify one or more files or directories
-# that contain example code fragments that are included (see the \include
-# command).
-
-EXAMPLE_PATH           =
-
-# If the value of the EXAMPLE_PATH tag contains directories, you can use the
-# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
-# *.h) to filter out the source-files in the directories. If left blank all
-# files are included.
-
-EXAMPLE_PATTERNS       =
-
-# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
-# searched for input files to be used with the \include or \dontinclude commands
-# irrespective of the value of the RECURSIVE tag.
-# The default value is: NO.
-
-EXAMPLE_RECURSIVE      = NO
-
-# The IMAGE_PATH tag can be used to specify one or more files or directories
-# that contain images that are to be included in the documentation (see the
-# \image command).
-
-IMAGE_PATH             =
-
-# The INPUT_FILTER tag can be used to specify a program that doxygen should
-# invoke to filter for each input file. Doxygen will invoke the filter program
-# by executing (via popen()) the command:
-#
-# <filter> <input-file>
-#
-# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
-# name of an input file. Doxygen will then use the output that the filter
-# program writes to standard output. If FILTER_PATTERNS is specified, this tag
-# will be ignored.
-#
-# Note that the filter must not add or remove lines; it is applied before the
-# code is scanned, but not when the output code is generated. If lines are added
-# or removed, the anchors will not be placed correctly.
-
-INPUT_FILTER           =
-
-# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
-# basis. Doxygen will compare the file name with each pattern and apply the
-# filter if there is a match. The filters are a list of the form: pattern=filter
-# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
-# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
-# patterns match the file name, INPUT_FILTER is applied.
-
-FILTER_PATTERNS        =
-
-# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
-# INPUT_FILTER) will also be used to filter the input files that are used for
-# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
-# The default value is: NO.
-
-FILTER_SOURCE_FILES    = NO
-
-# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
-# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
-# it is also possible to disable source filtering for a specific pattern using
-# *.ext= (so without naming a filter).
-# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
-
-FILTER_SOURCE_PATTERNS =
-
-# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
-# is part of the input, its contents will be placed on the main page
-# (index.html). This can be useful if you have a project on for instance GitHub
-# and want to reuse the introduction page also for the doxygen output.
-
-USE_MDFILE_AS_MAINPAGE =
-
-#---------------------------------------------------------------------------
-# Configuration options related to source browsing
-#---------------------------------------------------------------------------
-
-# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
-# generated. Documented entities will be cross-referenced with these sources.
-#
-# Note: To get rid of all source code in the generated output, make sure that
-# also VERBATIM_HEADERS is set to NO.
-# The default value is: NO.
-
-SOURCE_BROWSER         = YES
-
-# Setting the INLINE_SOURCES tag to YES will include the body of functions,
-# classes and enums directly into the documentation.
-# The default value is: NO.
-
-INLINE_SOURCES         = YES
-
-# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
-# special comment blocks from generated source code fragments. Normal C, C++ and
-# Fortran comments will always remain visible.
-# The default value is: YES.
-
-STRIP_CODE_COMMENTS    = YES
-
-# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
-# function all documented functions referencing it will be listed.
-# The default value is: NO.
-
-REFERENCED_BY_RELATION = NO
-
-# If the REFERENCES_RELATION tag is set to YES then for each documented function
-# all documented entities called/used by that function will be listed.
-# The default value is: NO.
-
-REFERENCES_RELATION    = NO
-
-# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
-# to YES then the hyperlinks from functions in REFERENCES_RELATION and
-# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
-# link to the documentation.
-# The default value is: YES.
-
-REFERENCES_LINK_SOURCE = YES
-
-# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
-# source code will show a tooltip with additional information such as prototype,
-# brief description and links to the definition and documentation. Since this
-# will make the HTML file larger and loading of large files a bit slower, you
-# can opt to disable this feature.
-# The default value is: YES.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-SOURCE_TOOLTIPS        = YES
-
-# If the USE_HTAGS tag is set to YES then the references to source code will
-# point to the HTML generated by the htags(1) tool instead of doxygen built-in
-# source browser. The htags tool is part of GNU's global source tagging system
-# (see http://www.gnu.org/software/global/global.html). You will need version
-# 4.8.6 or higher.
-#
-# To use it do the following:
-# - Install the latest version of global
-# - Enable SOURCE_BROWSER and USE_HTAGS in the config file
-# - Make sure the INPUT points to the root of the source tree
-# - Run doxygen as normal
-#
-# Doxygen will invoke htags (and that will in turn invoke gtags), so these
-# tools must be available from the command line (i.e. in the search path).
-#
-# The result: instead of the source browser generated by doxygen, the links to
-# source code will now point to the output of htags.
-# The default value is: NO.
-# This tag requires that the tag SOURCE_BROWSER is set to YES.
-
-USE_HTAGS              = NO
-
-# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
-# verbatim copy of the header file for each class for which an include is
-# specified. Set to NO to disable this.
-# See also: Section \class.
-# The default value is: YES.
-
-VERBATIM_HEADERS       = YES
-
-#---------------------------------------------------------------------------
-# Configuration options related to the alphabetical class index
-#---------------------------------------------------------------------------
-
-# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
-# compounds will be generated. Enable this if the project contains a lot of
-# classes, structs, unions or interfaces.
-# The default value is: YES.
-
-ALPHABETICAL_INDEX     = YES
-
-# The COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns in
-# which the alphabetical index list will be split.
-# Minimum value: 1, maximum value: 20, default value: 5.
-# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
-
-COLS_IN_ALPHA_INDEX    = 5
-
-# In case all classes in a project start with a common prefix, all classes will
-# be put under the same header in the alphabetical index. The IGNORE_PREFIX tag
-# can be used to specify a prefix (or a list of prefixes) that should be ignored
-# while generating the index headers.
-# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
-
-IGNORE_PREFIX          =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the HTML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
-# The default value is: YES.
-
-GENERATE_HTML          = YES
-
-# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_OUTPUT            = html
-
-# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
-# generated HTML page (for example: .htm, .php, .asp).
-# The default value is: .html.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FILE_EXTENSION    = .html
-
-# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
-# each generated HTML page. If the tag is left blank doxygen will generate a
-# standard header.
-#
-# To get valid HTML the header file that includes any scripts and style sheets
-# that doxygen needs, which is dependent on the configuration options used (e.g.
-# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
-# default header using
-# doxygen -w html new_header.html new_footer.html new_stylesheet.css
-# YourConfigFile
-# and then modify the file new_header.html. See also section "Doxygen usage"
-# for information on how to generate the default header that doxygen normally
-# uses.
-# Note: The header is subject to change so you typically have to regenerate the
-# default header when upgrading to a newer version of doxygen. For a description
-# of the possible markers and block names see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_HEADER            =
-
-# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
-# generated HTML page. If the tag is left blank doxygen will generate a standard
-# footer. See HTML_HEADER for more information on how to generate a default
-# footer and what special commands can be used inside the footer. See also
-# section "Doxygen usage" for information on how to generate the default footer
-# that doxygen normally uses.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_FOOTER            =
-
-# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
-# sheet that is used by each HTML page. It can be used to fine-tune the look of
-# the HTML output. If left blank doxygen will generate a default style sheet.
-# See also section "Doxygen usage" for information on how to generate the style
-# sheet that doxygen normally uses.
-# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
-# it is more robust and this tag (HTML_STYLESHEET) will in the future become
-# obsolete.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_STYLESHEET        =
-
-# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# cascading style sheets that are included after the standard style sheets
-# created by doxygen. Using this option one can overrule certain style aspects.
-# This is preferred over using HTML_STYLESHEET since it does not replace the
-# standard style sheet and is therefore more robust against future updates.
-# Doxygen will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list). For an example see the documentation.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_STYLESHEET  =
-
-# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the HTML output directory. Note
-# that these files will be copied to the base HTML output directory. Use the
-# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
-# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
-# files will be copied as-is; there are no commands or markers available.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_EXTRA_FILES       =
-
-# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
-# will adjust the colors in the style sheet and background images according to
-# this color. Hue is specified as an angle on a colorwheel, see
-# http://en.wikipedia.org/wiki/Hue for more information. For instance the value
-# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
-# purple, and 360 is red again.
-# Minimum value: 0, maximum value: 359, default value: 220.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_HUE    = 220
-
-# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
-# in the HTML output. For a value of 0 the output will use grayscales only. A
-# value of 255 will produce the most vivid colors.
-# Minimum value: 0, maximum value: 255, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_SAT    = 100
-
-# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
-# luminance component of the colors in the HTML output. Values below 100
-# gradually make the output lighter, whereas values above 100 make the output
-# darker. The value divided by 100 is the actual gamma applied, so 80 represents
-# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
-# change the gamma.
-# Minimum value: 40, maximum value: 240, default value: 80.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_COLORSTYLE_GAMMA  = 80
-
-# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
-# page will contain the date and time when the page was generated. Setting this
-# to NO can help when comparing the output of multiple runs.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_TIMESTAMP         = YES
-
-# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
-# documentation will contain sections that can be hidden and shown after the
-# page has loaded.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_DYNAMIC_SECTIONS  = NO
-
-# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
-# shown in the various tree structured indices initially; the user can expand
-# and collapse entries dynamically later on. Doxygen will expand the tree to
-# such a level that at most the specified number of entries are visible (unless
-# a fully collapsed tree already exceeds this amount). So setting the number of
-# entries 1 will produce a full collapsed tree by default. 0 is a special value
-# representing an infinite number of entries and will result in a full expanded
-# tree by default.
-# Minimum value: 0, maximum value: 9999, default value: 100.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-HTML_INDEX_NUM_ENTRIES = 100
-
-# If the GENERATE_DOCSET tag is set to YES, additional index files will be
-# generated that can be used as input for Apple's Xcode 3 integrated development
-# environment (see: http://developer.apple.com/tools/xcode/), introduced with
-# OSX 10.5 (Leopard). To create a documentation set, doxygen will generate a
-# Makefile in the HTML output directory. Running make will produce the docset in
-# that directory and running make install will install the docset in
-# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
-# startup. See http://developer.apple.com/tools/creatingdocsetswithdoxygen.html
-# for more information.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_DOCSET        = NO
-
-# This tag determines the name of the docset feed. A documentation feed provides
-# an umbrella under which multiple documentation sets from a single provider
-# (such as a company or product suite) can be grouped.
-# The default value is: Doxygen generated docs.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_FEEDNAME        = "Doxygen generated docs"
-
-# This tag specifies a string that should uniquely identify the documentation
-# set bundle. This should be a reverse domain-name style string, e.g.
-# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_BUNDLE_ID       = org.doxygen.Project
-
-# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
-# the documentation publisher. This should be a reverse domain-name style
-# string, e.g. com.mycompany.MyDocSet.documentation.
-# The default value is: org.doxygen.Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_ID    = org.doxygen.Publisher
-
-# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
-# The default value is: Publisher.
-# This tag requires that the tag GENERATE_DOCSET is set to YES.
-
-DOCSET_PUBLISHER_NAME  = Publisher
-
-# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
-# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
-# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
-# (see: http://www.microsoft.com/en-us/download/details.aspx?id=21138) on
-# Windows.
-#
-# The HTML Help Workshop contains a compiler that can convert all HTML output
-# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
-# files are now used as the Windows 98 help format, and will replace the old
-# Windows help format (.hlp) on all Windows platforms in the future. Compressed
-# HTML files also contain an index, a table of contents, and you can search for
-# words in the documentation. The HTML workshop also contains a viewer for
-# compressed HTML files.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_HTMLHELP      = NO
-
-# The CHM_FILE tag can be used to specify the file name of the resulting .chm
-# file. You can add a path in front of the file if the result should not be
-# written to the html output directory.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_FILE               =
-
-# The HHC_LOCATION tag can be used to specify the location (absolute path
-# including file name) of the HTML help compiler (hhc.exe). If non-empty,
-# doxygen will try to run the HTML help compiler on the generated index.hhp.
-# The file has to be specified with full path.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-HHC_LOCATION           =
-
-# The GENERATE_CHI flag controls if a separate .chi index file is generated
-# (YES) or that it should be included in the master .chm file (NO).
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-GENERATE_CHI           = NO
-
-# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
-# and project file content.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-CHM_INDEX_ENCODING     =
-
-# The BINARY_TOC flag controls whether a binary table of contents is generated
-# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
-# enables the Previous and Next buttons.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-BINARY_TOC             = NO
-
-# The TOC_EXPAND flag can be set to YES to add extra items for group members to
-# the table of contents of the HTML help documentation and to the tree view.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
-
-TOC_EXPAND             = NO
-
-# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
-# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
-# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
-# (.qch) of the generated HTML documentation.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_QHP           = NO
-
-# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
-# the file name of the resulting .qch file. The path specified is relative to
-# the HTML output folder.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QCH_FILE               =
-
-# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
-# Project output. For more information please see Qt Help Project / Namespace
-# (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#namespace).
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_NAMESPACE          = org.doxygen.Project
-
-# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
-# Help Project output. For more information please see Qt Help Project / Virtual
-# Folders (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#virtual-
-# folders).
-# The default value is: doc.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_VIRTUAL_FOLDER     = doc
-
-# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
-# filter to add. For more information please see Qt Help Project / Custom
-# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
-# filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_NAME   =
-
-# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
-# custom filter to add. For more information please see Qt Help Project / Custom
-# Filters (see: http://qt-project.org/doc/qt-4.8/qthelpproject.html#custom-
-# filters).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_CUST_FILTER_ATTRS  =
-
-# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
-# project's filter section matches. Qt Help Project / Filter Attributes (see:
-# http://qt-project.org/doc/qt-4.8/qthelpproject.html#filter-attributes).
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHP_SECT_FILTER_ATTRS  =
-
-# The QHG_LOCATION tag can be used to specify the location of Qt's
-# qhelpgenerator. If non-empty doxygen will try to run qhelpgenerator on the
-# generated .qhp file.
-# This tag requires that the tag GENERATE_QHP is set to YES.
-
-QHG_LOCATION           =
-
-# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
-# generated, together with the HTML files, they form an Eclipse help plugin. To
-# install this plugin and make it available under the help contents menu in
-# Eclipse, the contents of the directory containing the HTML and XML files needs
-# to be copied into the plugins directory of eclipse. The name of the directory
-# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
-# After copying Eclipse needs to be restarted before the help appears.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_ECLIPSEHELP   = NO
-
-# A unique identifier for the Eclipse help plugin. When installing the plugin
-# the directory name containing the HTML and XML files should also have this
-# name. Each documentation set should have its own identifier.
-# The default value is: org.doxygen.Project.
-# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
-
-ECLIPSE_DOC_ID         = org.doxygen.Project
-
-# If you want full control over the layout of the generated HTML pages it might
-# be necessary to disable the index and replace it with your own. The
-# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
-# of each HTML page. A value of NO enables the index and the value YES disables
-# it. Since the tabs in the index contain the same information as the navigation
-# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-DISABLE_INDEX          = NO
-
-# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
-# structure should be generated to display hierarchical information. If the tag
-# value is set to YES, a side panel will be generated containing a tree-like
-# index structure (just like the one that is generated for HTML Help). For this
-# to work a browser that supports JavaScript, DHTML, CSS and frames is required
-# (i.e. any modern browser). Windows users are probably better off using the
-# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
-# further fine-tune the look of the index. As an example, the default style
-# sheet generated by doxygen has an example that shows how to put an image at
-# the root of the tree instead of the PROJECT_NAME. Since the tree basically has
-# the same information as the tab index, you could consider setting
-# DISABLE_INDEX to YES when enabling this option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-GENERATE_TREEVIEW      = YES
-
-# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
-# doxygen will group on one line in the generated HTML documentation.
-#
-# Note that a value of 0 will completely suppress the enum values from appearing
-# in the overview section.
-# Minimum value: 0, maximum value: 20, default value: 4.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-ENUM_VALUES_PER_LINE   = 4
-
-# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
-# to set the initial width (in pixels) of the frame in which the tree is shown.
-# Minimum value: 0, maximum value: 1500, default value: 250.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-TREEVIEW_WIDTH         = 250
-
-# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
-# external symbols imported via tag files in a separate window.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-EXT_LINKS_IN_WINDOW    = NO
-
-# Use this tag to change the font size of LaTeX formulas included as images in
-# the HTML documentation. When you change the font size after a successful
-# doxygen run you need to manually remove any form_*.png images from the HTML
-# output directory to force them to be regenerated.
-# Minimum value: 8, maximum value: 50, default value: 10.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_FONTSIZE       = 10
-
-# Use the FORMULA_TRANPARENT tag to determine whether or not the images
-# generated for formulas are transparent PNGs. Transparent PNGs are not
-# supported properly for IE 6.0, but are supported on all modern browsers.
-#
-# Note that when changing this option you need to delete any form_*.png files in
-# the HTML output directory before the changes have effect.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-FORMULA_TRANSPARENT    = YES
-
-# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
-# http://www.mathjax.org) which uses client side Javascript for the rendering
-# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
-# installed or if you want to formulas look prettier in the HTML output. When
-# enabled you may also need to install MathJax separately and configure the path
-# to it using the MATHJAX_RELPATH option.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-USE_MATHJAX            = NO
-
-# When MathJax is enabled you can set the default output format to be used for
-# the MathJax output. See the MathJax site (see:
-# http://docs.mathjax.org/en/latest/output.html) for more details.
-# Possible values are: HTML-CSS (which is slower, but has the best
-# compatibility), NativeMML (i.e. MathML) and SVG.
-# The default value is: HTML-CSS.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_FORMAT         = HTML-CSS
-
-# When MathJax is enabled you need to specify the location relative to the HTML
-# output directory using the MATHJAX_RELPATH option. The destination directory
-# should contain the MathJax.js script. For instance, if the mathjax directory
-# is located at the same level as the HTML output directory, then
-# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
-# Content Delivery Network so you can quickly see the result without installing
-# MathJax. However, it is strongly recommended to install a local copy of
-# MathJax from http://www.mathjax.org before deployment.
-# The default value is: http://cdn.mathjax.org/mathjax/latest.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_RELPATH        = http://cdn.mathjax.org/mathjax/latest
-
-# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
-# extension names that should be enabled during MathJax rendering. For example
-# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_EXTENSIONS     =
-
-# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
-# of code that will be used on startup of the MathJax code. See the MathJax site
-# (see: http://docs.mathjax.org/en/latest/output.html) for more details. For an
-# example see the documentation.
-# This tag requires that the tag USE_MATHJAX is set to YES.
-
-MATHJAX_CODEFILE       =
-
-# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
-# the HTML output. The underlying search engine uses javascript and DHTML and
-# should work on any modern browser. Note that when using HTML help
-# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
-# there is already a search function so this one should typically be disabled.
-# For large projects the javascript based search engine can be slow, then
-# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
-# search using the keyboard; to jump to the search box use <access key> + S
-# (what the <access key> is depends on the OS and browser, but it is typically
-# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
-# key> to jump into the search results window, the results can be navigated
-# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
-# the search. The filter options can be selected when the cursor is inside the
-# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
-# to select a filter and <Enter> or <escape> to activate or cancel the filter
-# option.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_HTML is set to YES.
-
-SEARCHENGINE           = YES
-
-# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
-# implemented using a web server instead of a web client using Javascript. There
-# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
-# setting. When disabled, doxygen will generate a PHP script for searching and
-# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
-# and searching needs to be provided by external tools. See the section
-# "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SERVER_BASED_SEARCH    = NO
-
-# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
-# script for searching. Instead the search results are written to an XML file
-# which needs to be processed by an external indexer. Doxygen will invoke an
-# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
-# search results.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see: http://xapian.org/).
-#
-# See the section "External Indexing and Searching" for details.
-# The default value is: NO.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH        = NO
-
-# The SEARCHENGINE_URL should point to a search engine hosted by a web server
-# which will return the search results when EXTERNAL_SEARCH is enabled.
-#
-# Doxygen ships with an example indexer (doxyindexer) and search engine
-# (doxysearch.cgi) which are based on the open source search engine library
-# Xapian (see: http://xapian.org/). See the section "External Indexing and
-# Searching" for details.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHENGINE_URL       =
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
-# search data is written to a file for indexing by an external tool. With the
-# SEARCHDATA_FILE tag the name of this file can be specified.
-# The default file is: searchdata.xml.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-SEARCHDATA_FILE        = searchdata.xml
-
-# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
-# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
-# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
-# projects and redirect the results back to the right project.
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTERNAL_SEARCH_ID     =
-
-# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
-# projects other than the one defined by this configuration file, but that are
-# all added to the same external search index. Each project needs to have a
-# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
-# to a relative location where the documentation can be found. The format is:
-# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
-# This tag requires that the tag SEARCHENGINE is set to YES.
-
-EXTRA_SEARCH_MAPPINGS  =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the LaTeX output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
-# The default value is: YES.
-
-GENERATE_LATEX         = NO
-
-# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: latex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_OUTPUT           = latex
-
-# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
-# invoked.
-#
-# Note that when enabling USE_PDFLATEX this option is only used for generating
-# bitmaps for formulas in the HTML output, but not in the Makefile that is
-# written to the output directory.
-# The default file is: latex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_CMD_NAME         = latex
-
-# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
-# index for LaTeX.
-# The default file is: makeindex.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-MAKEINDEX_CMD_NAME     = makeindex
-
-# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-COMPACT_LATEX          = NO
-
-# The PAPER_TYPE tag can be used to set the paper type that is used by the
-# printer.
-# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
-# 14 inches) and executive (7.25 x 10.5 inches).
-# The default value is: a4.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PAPER_TYPE             = a4
-
-# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
-# that should be included in the LaTeX output. To get the times font for
-# instance you can specify
-# EXTRA_PACKAGES=times
-# If left blank no extra packages will be included.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-EXTRA_PACKAGES         =
-
-# The LATEX_HEADER tag can be used to specify a personal LaTeX header for the
-# generated LaTeX document. The header should contain everything until the first
-# chapter. If it is left blank doxygen will generate a standard header. See
-# section "Doxygen usage" for information on how to let doxygen write the
-# default header to a separate file.
-#
-# Note: Only use a user-defined header if you know what you are doing! The
-# following commands have a special meaning inside the header: $title,
-# $datetime, $date, $doxygenversion, $projectname, $projectnumber,
-# $projectbrief, $projectlogo. Doxygen will replace $title with the empty
-# string, for the replacement values of the other commands the user is referred
-# to HTML_HEADER.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HEADER           =
-
-# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for the
-# generated LaTeX document. The footer should contain everything after the last
-# chapter. If it is left blank doxygen will generate a standard footer. See
-# LATEX_HEADER for more information on how to generate a default footer and what
-# special commands can be used inside the footer.
-#
-# Note: Only use a user-defined footer if you know what you are doing!
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_FOOTER           =
-
-# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
-# LaTeX style sheets that are included after the standard style sheets created
-# by doxygen. Using this option one can overrule certain style aspects. Doxygen
-# will copy the style sheet files to the output directory.
-# Note: The order of the extra style sheet files is of importance (e.g. the last
-# style sheet in the list overrules the setting of the previous ones in the
-# list).
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_STYLESHEET =
-
-# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
-# other source files which should be copied to the LATEX_OUTPUT output
-# directory. Note that the files will be copied as-is; there are no commands or
-# markers available.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_EXTRA_FILES      =
-
-# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
-# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
-# contain links (just like the HTML output) instead of page references. This
-# makes the output suitable for online browsing using a PDF viewer.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-PDF_HYPERLINKS         = YES
-
-# If the USE_PDFLATEX tag is set to YES, doxygen will use pdflatex to generate
-# the PDF file directly from the LaTeX files. Set this option to YES, to get a
-# higher quality PDF documentation.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-USE_PDFLATEX           = YES
-
-# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \batchmode
-# command to the generated LaTeX files. This will instruct LaTeX to keep running
-# if errors occur, instead of asking the user for help. This option is also used
-# when generating formulas in HTML.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BATCHMODE        = NO
-
-# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
-# index chapters (such as File Index, Compound Index, etc.) in the output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_HIDE_INDICES     = NO
-
-# If the LATEX_SOURCE_CODE tag is set to YES then doxygen will include source
-# code with syntax highlighting in the LaTeX output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_SOURCE_CODE      = NO
-
-# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
-# bibliography, e.g. plainnat, or ieeetr. See
-# http://en.wikipedia.org/wiki/BibTeX and \cite for more info.
-# The default value is: plain.
-# This tag requires that the tag GENERATE_LATEX is set to YES.
-
-LATEX_BIB_STYLE        = plain
-
-#---------------------------------------------------------------------------
-# Configuration options related to the RTF output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
-# RTF output is optimized for Word 97 and may not look too pretty with other RTF
-# readers/editors.
-# The default value is: NO.
-
-GENERATE_RTF           = NO
-
-# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: rtf.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_OUTPUT             = rtf
-
-# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
-# documents. This may be useful for small projects and may help to save some
-# trees in general.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-COMPACT_RTF            = NO
-
-# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
-# contain hyperlink fields. The RTF file will contain links (just like the HTML
-# output) instead of page references. This makes the output suitable for online
-# browsing using Word or some other Word compatible readers that support those
-# fields.
-#
-# Note: WordPad (write) and others do not support links.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_HYPERLINKS         = NO
-
-# Load stylesheet definitions from file. Syntax is similar to doxygen's config
-# file, i.e. a series of assignments. You only have to provide replacements,
-# missing definitions are set to their default value.
-#
-# See also section "Doxygen usage" for information on how to generate the
-# default style sheet that doxygen normally uses.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_STYLESHEET_FILE    =
-
-# Set optional variables used in the generation of an RTF document. Syntax is
-# similar to doxygen's config file. A template extensions file can be generated
-# using doxygen -e rtf extensionFile.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_EXTENSIONS_FILE    =
-
-# If the RTF_SOURCE_CODE tag is set to YES then doxygen will include source code
-# with syntax highlighting in the RTF output.
-#
-# Note that which sources are shown also depends on other settings such as
-# SOURCE_BROWSER.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_RTF is set to YES.
-
-RTF_SOURCE_CODE        = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the man page output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
-# classes and files.
-# The default value is: NO.
-
-GENERATE_MAN           = NO
-
-# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it. A directory man3 will be created inside the directory specified by
-# MAN_OUTPUT.
-# The default directory is: man.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_OUTPUT             = man
-
-# The MAN_EXTENSION tag determines the extension that is added to the generated
-# man pages. In case the manual section does not start with a number, the number
-# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
-# optional.
-# The default value is: .3.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_EXTENSION          = .3
-
-# The MAN_SUBDIR tag determines the name of the directory created within
-# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
-# MAN_EXTENSION with the initial . removed.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_SUBDIR             =
-
-# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
-# will generate one additional man file for each entity documented in the real
-# man page(s). These additional files only source the real man page, but without
-# them the man command would be unable to find the correct page.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_MAN is set to YES.
-
-MAN_LINKS              = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the XML output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
-# captures the structure of the code including all documentation.
-# The default value is: NO.
-
-GENERATE_XML           = NO
-
-# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
-# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
-# it.
-# The default directory is: xml.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_OUTPUT             = xml
-
-# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
-# listings (including syntax highlighting and cross-referencing information) to
-# the XML output. Note that enabling this will significantly increase the size
-# of the XML output.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_XML is set to YES.
-
-XML_PROGRAMLISTING     = YES
-
-#---------------------------------------------------------------------------
-# Configuration options related to the DOCBOOK output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
-# that can be used to generate PDF.
-# The default value is: NO.
-
-GENERATE_DOCBOOK       = NO
-
-# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
-# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
-# front of it.
-# The default directory is: docbook.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_OUTPUT         = docbook
-
-# If the DOCBOOK_PROGRAMLISTING tag is set to YES, doxygen will include the
-# program listings (including syntax highlighting and cross-referencing
-# information) to the DOCBOOK output. Note that enabling this will significantly
-# increase the size of the DOCBOOK output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
-
-DOCBOOK_PROGRAMLISTING = NO
-
-#---------------------------------------------------------------------------
-# Configuration options for the AutoGen Definitions output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
-# AutoGen Definitions (see http://autogen.sf.net) file that captures the
-# structure of the code including all documentation. Note that this feature is
-# still experimental and incomplete at the moment.
-# The default value is: NO.
-
-GENERATE_AUTOGEN_DEF   = NO
-
-#---------------------------------------------------------------------------
-# Configuration options related to the Perl module output
-#---------------------------------------------------------------------------
-
-# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module
-# file that captures the structure of the code including all documentation.
-#
-# Note that this feature is still experimental and incomplete at the moment.
-# The default value is: NO.
-
-GENERATE_PERLMOD       = NO
-
-# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary
-# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
-# output from the Perl module output.
-# The default value is: NO.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_LATEX          = NO
-
-# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely
-# formatted so it can be parsed by a human reader. This is useful if you want to
-# understand what is going on. On the other hand, if this tag is set to NO, the
-# size of the Perl module output will be much smaller and Perl will parse it
-# just the same.
-# The default value is: YES.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_PRETTY         = YES
-
-# The names of the make variables in the generated doxyrules.make file are
-# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
-# so different doxyrules.make files included by the same Makefile don't
-# overwrite each other's variables.
-# This tag requires that the tag GENERATE_PERLMOD is set to YES.
-
-PERLMOD_MAKEVAR_PREFIX =
-
-#---------------------------------------------------------------------------
-# Configuration options related to the preprocessor
-#---------------------------------------------------------------------------
-
-# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all
-# C-preprocessor directives found in the sources and include files.
-# The default value is: YES.
-
-ENABLE_PREPROCESSING   = YES
-
-# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names
-# in the source code. If set to NO, only conditional compilation will be
-# performed. Macro expansion can be done in a controlled way by setting
-# EXPAND_ONLY_PREDEF to YES.
-# The default value is: NO.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-MACRO_EXPANSION        = NO
-
-# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
-# the macro expansion is limited to the macros specified with the PREDEFINED and
-# EXPAND_AS_DEFINED tags.
-# The default value is: NO.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-EXPAND_ONLY_PREDEF     = NO
-
-# If the SEARCH_INCLUDES tag is set to YES, the include files in the
-# INCLUDE_PATH will be searched if a #include is found.
-# The default value is: YES.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-SEARCH_INCLUDES        = YES
-
-# The INCLUDE_PATH tag can be used to specify one or more directories that
-# contain include files that are not input files but should be processed by the
-# preprocessor.
-# This tag requires that the tag SEARCH_INCLUDES is set to YES.
-
-INCLUDE_PATH           =
-
-# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
-# patterns (like *.h and *.hpp) to filter out the header-files in the
-# directories. If left blank, the patterns specified with FILE_PATTERNS will be
-# used.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-INCLUDE_FILE_PATTERNS  =
-
-# The PREDEFINED tag can be used to specify one or more macro names that are
-# defined before the preprocessor is started (similar to the -D option of e.g.
-# gcc). The argument of the tag is a list of macros of the form: name or
-# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
-# is assumed. To prevent a macro definition from being undefined via #undef or
-# recursively expanded use the := operator instead of the = operator.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-PREDEFINED             =
-
-# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
-# tag can be used to specify a list of macro names that should be expanded. The
-# macro definition that is found in the sources will be used. Use the PREDEFINED
-# tag if you want to use a different macro definition that overrules the
-# definition found in the source code.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-EXPAND_AS_DEFINED      =
-
-# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will
-# remove all references to function-like macros that are alone on a line, have
-# an all uppercase name, and do not end with a semicolon. Such function macros
-# are typically used for boiler-plate code, and will confuse the parser if not
-# removed.
-# The default value is: YES.
-# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
-
-SKIP_FUNCTION_MACROS   = YES
-
-#---------------------------------------------------------------------------
-# Configuration options related to external references
-#---------------------------------------------------------------------------
-
-# The TAGFILES tag can be used to specify one or more tag files. For each tag
-# file the location of the external documentation should be added. The format of
-# a tag file without this location is as follows:
-# TAGFILES = file1 file2 ...
-# Adding location for the tag files is done as follows:
-# TAGFILES = file1=loc1 "file2 = loc2" ...
-# where loc1 and loc2 can be relative or absolute paths or URLs. See the
-# section "Linking to external documentation" for more information about the use
-# of tag files.
-# Note: Each tag file must have a unique name (where the name does NOT include
-# the path). If a tag file is not located in the directory in which doxygen is
-# run, you must also specify the path to the tagfile here.
-
-TAGFILES               =
-
-# When a file name is specified after GENERATE_TAGFILE, doxygen will create a
-# tag file that is based on the input files it reads. See section "Linking to
-# external documentation" for more information about the usage of tag files.
-
-GENERATE_TAGFILE       =
-
-# If the ALLEXTERNALS tag is set to YES, all external class will be listed in
-# the class index. If set to NO, only the inherited external classes will be
-# listed.
-# The default value is: NO.
-
-ALLEXTERNALS           = NO
-
-# If the EXTERNAL_GROUPS tag is set to YES, all external groups will be listed
-# in the modules index. If set to NO, only the current project's groups will be
-# listed.
-# The default value is: YES.
-
-EXTERNAL_GROUPS        = YES
-
-# If the EXTERNAL_PAGES tag is set to YES, all external pages will be listed in
-# the related pages index. If set to NO, only the current project's pages will
-# be listed.
-# The default value is: YES.
-
-EXTERNAL_PAGES         = YES
-
-# The PERL_PATH should be the absolute path and name of the perl script
-# interpreter (i.e. the result of 'which perl').
-# The default file (with absolute path) is: /usr/bin/perl.
-
-PERL_PATH              = /usr/bin/perl
-
-#---------------------------------------------------------------------------
-# Configuration options related to the dot tool
-#---------------------------------------------------------------------------
-
-# If the CLASS_DIAGRAMS tag is set to YES, doxygen will generate a class diagram
-# (in HTML and LaTeX) for classes with base or super classes. Setting the tag to
-# NO turns the diagrams off. Note that this option also works with HAVE_DOT
-# disabled, but it is recommended to install and use dot, since it yields more
-# powerful graphs.
-# The default value is: YES.
-
-CLASS_DIAGRAMS         = YES
-
-# You can define message sequence charts within doxygen comments using the \msc
-# command. Doxygen will then run the mscgen tool (see:
-# http://www.mcternan.me.uk/mscgen/)) to produce the chart and insert it in the
-# documentation. The MSCGEN_PATH tag allows you to specify the directory where
-# the mscgen tool resides. If left empty the tool is assumed to be found in the
-# default search path.
-
-MSCGEN_PATH            =
-
-# You can include diagrams made with dia in doxygen documentation. Doxygen will
-# then run dia to produce the diagram and insert it in the documentation. The
-# DIA_PATH tag allows you to specify the directory where the dia binary resides.
-# If left empty dia is assumed to be found in the default search path.
-
-DIA_PATH               =
-
-# If set to YES the inheritance and collaboration graphs will hide inheritance
-# and usage relations if the target is undocumented or is not a class.
-# The default value is: YES.
-
-HIDE_UNDOC_RELATIONS   = YES
-
-# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
-# available from the path. This tool is part of Graphviz (see:
-# http://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent
-# Bell Labs. The other options in this section have no effect if this option is
-# set to NO
-# The default value is: NO.
-
-HAVE_DOT               = NO
-
-# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed
-# to run in parallel. When set to 0 doxygen will base this on the number of
-# processors available in the system. You can set it explicitly to a value
-# larger than 0 to get control over the balance between CPU load and processing
-# speed.
-# Minimum value: 0, maximum value: 32, default value: 0.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
-DOT_NUM_THREADS        = 0
-
-# When you want a differently looking font in the dot files that doxygen
-# generates you can specify the font name using DOT_FONTNAME. You need to make
-# sure dot is able to find the font, which can be done by putting it in a
-# standard location or by setting the DOTFONTPATH environment variable or by
-# setting DOT_FONTPATH to the directory containing the font.
-# The default value is: Helvetica.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
-DOT_FONTNAME           = Helvetica
-
-# The DOT_FONTSIZE tag can be used to set the size (in points) of the font of
-# dot graphs.
-# Minimum value: 4, maximum value: 24, default value: 10.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
-DOT_FONTSIZE           = 10
-
-# By default doxygen will tell dot to use the default font as specified with
-# DOT_FONTNAME. If you specify a different font using DOT_FONTNAME you can set
-# the path where dot can find it using this tag.
-# This tag requires that the tag HAVE_DOT is set to YES.
-
-DOT_FONTPATH           =
-
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-# to support this out of the box.
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diff --git a/Examples/ACS2012/EdgeDetectorChamber.py b/Examples/ACS2012/EdgeDetectorChamber.py
deleted file mode 100644
index e8698d97..00000000
--- a/Examples/ACS2012/EdgeDetectorChamber.py
+++ /dev/null
@@ -1,103 +0,0 @@
-
-import random
-from CellModeller.Signalling.GridDiffusion import GridDiffusion
-from CellModeller.Integration.CLCrankNicIntegrator import CLCrankNicIntegrator
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-
-
-max_cells = 2**15
-
-grid_dim = (64, 8, 12)
-grid_size = (4, 4, 4)
-grid_orig = (-128, -14, -8)
-
-
-def setup(sim):
-    sig = GridDiffusion(sim, 1, grid_dim, grid_size, grid_orig, [10.0])
-    integ = CLCrankNicIntegrator(sim, 1, 5, max_cells, sig, boundcond='reflect')
-    biophys = CLBacterium(sim, max_cells=max_cells, jitter_z=False)
-    biophys.addPlane((0,-16,0), (0,1,0), 1)
-    biophys.addPlane((0,16,0), (0,-1,0), 1)
-    reg = ModuleRegulator(sim)
-
-    sim.init(biophys, reg, sig, integ)
-
-    sim.addCell(cellType=1, pos=(-20.0,0,0), len=2.0)
-    sim.addCell(cellType=0, pos=(20.0,0,0), len=2.0)
-
-    sigrend = Renderers.GLGridRenderer(sig, integ)
-    therend = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(sigrend)
-    sim.addRenderer(therend)
-
-    sim.pickleSteps = 10
-
-
-def init(cell):
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    cell.length = 2.0
-    cell.signals[:] = [0]
-    cell.species[:] = [0, 0, 0, 0, 0]
-    cell.growthRate = 1 
-
-def specRateCL():
-    return '''
-    const float D1 = 0.1f;
-    const float d1 = 1e-3;
-    const float k1 = 1.f;
-    const float k2 = 1.f;
-    const float g1 = 1e-1;
-    const float d2 = 1e-5;
-    const float k3 = 1.f;
-    const float k4 = 5e-5;
-    const float k5 = 0.1f;
-    const float k6 = 1e-2;
-    const float d3 = 1e-3;
-    const float g2 = 1e-1;
-    const float dr = 0.1f;
-
-    float AHL = signals[0];
-    float LuxI = species[0];
-    float AHLi = species[1];
-    float AiiA = species[2];
-    float CFP = species[3];
-    float YFP = species[4];
-
-    if (cellType==0) {
-        rates[0] = 0.f;
-        rates[1] = k1*LuxI/(k2+LuxI) - k5*AiiA*AHLi/(k6+AHLi) + D1*(AHL-AHLi)*area/volume;
-        rates[2] = d3 - g2*AiiA;
-        rates[3] = d2 + k3*AHLi*AHLi/(k4+AHLi*AHLi) - dr*CFP;
-        rates[4] = 0.f;
-    } else {
-        rates[0] = d1 - g1*LuxI;
-        rates[1] = k1*LuxI/(k2+LuxI) + D1*(AHL-AHLi)*area/volume;
-        rates[2] = 0.f;
-        rates[3] = 0.f;
-        rates[4] = d2 + k3*AHLi*AHLi/(k4+AHLi*AHLi) - dr*YFP;
-    }
-    '''
-
-def sigRateCL():
-    return '''
-    const float D1=0.1f;
-    float AHL = signals[0];
-    float AHLi = species[1];
-    rates[0] = -D1*(AHL-AHLi)*area/gridVolume;
-    '''
-
-def update(cells):
-    if len(cells) > max_cells-16:
-        print('reached cell limit')
-        exit()
-    for (i,cell) in cells.items():
-        cell.color = [0.1, 0.1+cell.species[3]/10.0, 0.1+cell.species[4]*20.0]
-        if cell.volume > getattr(cell, 'target_volume', 3.0):
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
diff --git a/Examples/Conjugation.py b/Examples/Conjugation.py
deleted file mode 100644
index b8b9a9a4..00000000
--- a/Examples/Conjugation.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-delta = 1.9
-delta_sig = 0.45
-
-def setup(sim):
-    # Set biophysics module
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=50000,gamma=10.0, cgs_tol=1E-5,compNeighbours=True)
-
-    # Set up regulation module
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(-5,0,0), dir=(1,0,0), length=delta,rad=0.4) #acceptor
-    sim.addCell(cellType=1, pos=(5,0,0), dir=(1,0,0), length=delta,rad=0.4) #donor
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    
-    # Specify how often data is saved
-    sim.pickleSteps = 50
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = cell.length + random.gauss(delta,delta_sig)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    if cell.cellType == 0: cell.color = (1.0,0.0,0.0)
-    elif cell.cellType == 1: cell.color = (0.0,1.0,0.0)
-    elif cell.cellType == 2: cell.color = (0.0,0.0,1.0)
-
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-        
-        infect_chances = 0
-        if cell.cellType == 0: #if a cell is an acceptor,
-            for index in cell.neighbours:#loop through all contacts
-                if cells[index].cellType != 0: #if donor or transconjugant is in contact
-                    #if random.random() < 0.01: # constant probability per unit time
-                    if random.random() < cells[index].effGrowth/10.0: # probability of infection is proportional to donor growth rate
-                        cell.cellType = 2 #become transconjugant
-
-        if cell.cellType == 0: cell.color = (1.0,0.0,0.0)
-        elif cell.cellType == 1: cell.color = (0.0,1.0,0.0)
-        elif cell.cellType == 2: cell.color = (0.0,0.0,1.0)
-
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = d1.length + random.gauss(delta,delta_sig)
-    d2.targetVol = d2.length + random.gauss(delta,delta_sig)
-
diff --git a/Examples/TimRudgeThesis/Meristem.py b/Examples/TimRudgeThesis/Meristem.py
deleted file mode 100644
index 6b116468..00000000
--- a/Examples/TimRudgeThesis/Meristem.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from CellModeller.Signalling.GridDiffusion import GridDiffusion
-from CellModeller.Integration.CLCrankNicIntegrator import CLCrankNicIntegrator
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import random
-
-
-grid_dim = (64, 64, 12)
-grid_size = (4, 4, 4)
-grid_orig = (-128, -128, -8)
-
-
-def setup(sim):
-    biophys = CLBacterium(sim, jitter_z=False)
-    reg = ModuleRegulator(sim, sim.moduleName)
-
-    sim.init(biophys, reg, None, None)
-
-    therend = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therend)
-
-    sim.addCell(cellType=0, pos=(0,0,0), len=2.0)
-
-
-def init(cell):
-    cell.target_volume = 3.0
-    cell.length = 2.0
-    cell.signals = [0]
-    cell.species = [0, 0, 0, 0, 0]
-    cell.growthRate = 0.0
-
-def max_x_coord(cells):
-    mx = -1000
-    for i,cell in list(cells.items()):
-        mx = max(mx, cell.pos[0])
-    return mx
-
-growth_rad = 10.0
-
-def update(cells):
-    global growth_rad
-    rightmost = -1
-    edge = max_x_coord(cells)
-    for (i,cell) in list(cells.items()):
-        dist = edge - cell.pos[0]
-        if dist < growth_rad:
-            cell.growthRate = 0.5 #(growth_rad-dist)/growth_rad * 0.5
-        else:
-            cell.growthRate = 0.0
-        if cell.volume > getattr(cell, 'target_volume', 3.0):
-            cell.asymm = [1,1]
-            cell.divideFlag = True
-        cell.color = [cell.growthRate*2*0.9+0.1]*2+[0.5]
-
-
-def divide(parent, d1, d2):
-    d1.target_volume = 3.0 + random.uniform(-0.5, 0.5)
-    d2.target_volume = 3.0 + random.uniform(-0.5, 0.5)
-
-def numSignals():
-    return 0
-
-def numSpecies():
-    return 0
diff --git a/Examples/Tutorial_1/Tutorial_1a.py b/Examples/Tutorial_1/Tutorial_1a.py
deleted file mode 100644
index 081282b2..00000000
--- a/Examples/Tutorial_1/Tutorial_1a.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-def setup(sim):
-    # Set biophysics module
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    # Set up regulation module
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    
-    # Specify how often data is saved
-    sim.pickleSteps = 100
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = (0.0,1.0,0.0)
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/Tutorial_1/Tutorial_1b.py b/Examples/Tutorial_1/Tutorial_1b.py
deleted file mode 100644
index 5f529c9d..00000000
--- a/Examples/Tutorial_1/Tutorial_1b.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0], 2:[0,0,1.0]} #RGB cell colours
-cell_lens = {0:1.0, 1:2.0, 2:3.5} #target cell lengths
-cell_growr = {0:2.0, 1:1.1, 2:0.8} #growth rates
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-    sim.addCell(cellType=1, pos=(6,0,0), dir=(1,0,0))
-    sim.addCell(cellType=2, pos=(-6,0,0), dir=(1,0,0))
-
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    sim.pickleSteps = 20
-
-def max_y_coord(cells):
-    #finds the largest y-coordinate in the colony
-    my = 0.0
-    for i,cell in list(cells.items()):
-        my = max(my, cell.pos[1])
-    return my
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = cell_lens[cell.cellType] + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = cell_growr[cell.cellType]
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    maxy = max_y_coord(cells)
-    for (id, cell) in cells.items():
-        dist = maxy - cell.pos[1]
-        growthZone = 5.0 #width of the growth zone
-        if dist < growthZone:
-            cell.growthRate = cell_growr[cell.cellType]
-        else:
-            cell.color = numpy.divide(cell_cols[cell.cellType],2)
-            cell.growthRate = 0.0
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = cell_lens[parent.cellType] + random.uniform(0.0,0.5)
-    d2.targetVol = cell_lens[parent.cellType] + random.uniform(0.0,0.5)
\ No newline at end of file
diff --git a/Examples/Tutorial_1/Tutorial_1c.py b/Examples/Tutorial_1/Tutorial_1c.py
deleted file mode 100644
index 1eb30636..00000000
--- a/Examples/Tutorial_1/Tutorial_1c.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=True, gamma = 20, max_planes=5)
-
-    biophys.addPlane((0,0,0),(0,0,1),1.0) #Base plane
-    biophys.addPlane((10,0,0),(-1,0,0),1.0)
-    biophys.addPlane((-10,0,0),(1,0,0),1.0)
-    biophys.addPlane((0,10,0),(0,-1,0),1.0)
-    biophys.addPlane((0,-10,0),(0,1,0),1.0)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0.5))
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    sim.pickleSteps = 20
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.0 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = (1.0,1.0,1.0)
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.0 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.0 + random.uniform(0.0,0.5)
-
diff --git a/Examples/Tutorial_2/.DS_Store b/Examples/Tutorial_2/.DS_Store
deleted file mode 100644
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diff --git a/Examples/Tutorial_2/Tutorial_2a.py b/Examples/Tutorial_2/Tutorial_2a.py
deleted file mode 100644
index 8855a2f4..00000000
--- a/Examples/Tutorial_2/Tutorial_2a.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-#Import Euler integrator for solving ODE system of chemical species inside the cells
-from CellModeller.Integration.CLEulerIntegrator import CLEulerIntegrator
-
-max_cells = 100000
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, max_cells=max_cells, jitter_z=False)
-    integ = CLEulerIntegrator(sim, 1, max_cells)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 20
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.0 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0]
-
-
-def specRateCL():
-    return '''
-    const float k1 = 2.f;
-    float x0 = species[0];
-    rates[0] = k1;
-    '''
-    # k1 = production rate of x0
-
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [numpy.clip(cell.species[0]/6.0,0.0,1.0), 1.0, 0.1]
-        if cell.volume > cell.targetVol:
-            a = 1
-            cell.asymm = [a,1]
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.0 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.0 + random.uniform(0.0,0.5)
-
diff --git a/Examples/Tutorial_2/Tutorial_2b.py b/Examples/Tutorial_2/Tutorial_2b.py
deleted file mode 100644
index b584e5f1..00000000
--- a/Examples/Tutorial_2/Tutorial_2b.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-#Import Euler integrator for solving ODE system of chemical species inside the cells
-from CellModeller.Integration.CLEulerIntegrator import CLEulerIntegrator
-
-max_cells = 100000
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, max_cells=max_cells, jitter_z=False)
-    integ = CLEulerIntegrator(sim, 2, max_cells)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 20
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.0 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 0.6
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0,0]
-
-
-def specRateCL():
-    return '''
-    const float k1 = 2.f;
-    const float k2 = 2.f;
-    const float delta = 1.f;
-    const float rho = 1.f;
-    const float sigma = 1.f;
-    
-    float x = species[0];
-    float y = species[1];
-    rates[0] = delta*(k1*(1+rho*x*x)/(1+x*x+sigma*y*y)-x);
-    rates[1] = delta*k2*(1+rho*x*x)/(1+x*x)-y;
-    '''
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [numpy.clip((cell.species[0]-0.53)/0.05,0.0,1.0), 0.1, 0.1]
-        if cell.volume > cell.targetVol:
-            a = 1
-            cell.asymm = [a,1]
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.0 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.0 + random.uniform(0.0,0.5)
-
diff --git a/Examples/Tutorial_3/Tutorial_3.py b/Examples/Tutorial_3/Tutorial_3.py
deleted file mode 100644
index 61e13795..00000000
--- a/Examples/Tutorial_3/Tutorial_3.py
+++ /dev/null
@@ -1,115 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-from CellModeller.Signalling.GridDiffusion import GridDiffusion #add
-from CellModeller.Integration.CLCrankNicIntegrator import CLCrankNicIntegrator #add
-
-
-max_cells = 10000
-
-#Specify parameter for solving diffusion dynamics #Add
-grid_dim = (80, 80, 8) # dimension of diffusion space, unit = number of grid
-grid_size = (4, 4, 4) # grid size
-grid_orig = (-160, -160, -16) # where to place the diffusion space onto simulation space
-
-n_signals = 2
-n_species = 2
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-    sig = GridDiffusion(sim, n_signals, grid_dim, grid_size, grid_orig, [10.0, 10.0])
-    integ = CLCrankNicIntegrator(sim, n_signals, n_species, max_cells, sig)
-    
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)
-    # Only biophys and regulation
-    sim.init(biophys, regul, sig, integ)
-    
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(-3.0,0,0))  #Add
-    sim.addCell(cellType=1, pos=(3.0,0,0)) #Add
-    
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    sigrend = Renderers.GLGridRenderer(sig, integ) # Add
-    sim.addRenderer(sigrend) #Add
-    
-    sim.pickleSteps = 2
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0.0]*n_species
-    # Specify initial concentration of signaling molecules
-    cell.signals[:] = [0.0]*n_signals
-
-cl_prefix = \
-    '''
-        const float Da = 1.0f;
-        const float Db = 1.0f;
-        const float ka = 1.f;
-        const float kb = 1.f;
-        
-        float  alpha_in = species[0];
-        float  alpha = signals[0];
-        
-        float beta_in = species[1];
-        float beta = signals[1];
-        '''
-
-
-# Da = diffusion rate of alpha through the cell membrane
-# Db = diffusion rate of beta through the cell membrane
-
-def specRateCL(): # Add if/else, new species
-    global cl_prefix
-    return cl_prefix + '''
-        if (cellType==0){
-        rates[0] = ka + Da*(alpha-alpha_in)*area/gridVolume;
-        rates[1] = Db*(beta-beta_in)*area/gridVolume;
-        
-        } else {
-        rates[0] = Da*(alpha-alpha_in)*area/gridVolume;
-        rates[1] = kb + Db*(beta-beta_in)*area/gridVolume;
-        }
-        '''
-
-
-def sigRateCL(): #Add
-    global cl_prefix
-    return cl_prefix + '''
-        rates[0] = -Da*(alpha-alpha_in)*area/gridVolume;
-        rates[1] = -Db*(beta-beta_in)*area/gridVolume;
-        
-        '''
-
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    v_max = 0.9
-    Km = 0.1 #This can be though of as the degree of mutualism - turns mutualism off when set to 0.
-    for (id, cell) in cells.items():
-        cell.color = [1,1,1] #[0.1+cell.species[0]/3.0, 0.1+cell.species[1]/3.0, 0.1]
-        if cell.cellType==0:
-            cell.growthRate = 0.1 + v_max * cell.species[1] / (Km + cell.species[1])
-        else:
-            cell.growthRate = 0.1 + v_max * cell.species[0] / (Km + cell.species[0])
-        
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/colorWalk_planes_3d.py b/Examples/colorWalk_planes_3d.py
deleted file mode 100644
index 358c934e..00000000
--- a/Examples/colorWalk_planes_3d.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 10000
-rodlen = 3.5
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, max_planes=9)
-
-    sim.dt = 0.025
-    #biophys.addPlane((0,0,-0.5), (0,0,1), 1.0)
-    #biophys.addPlane((0,0,0.5), (0,0,-1), math.sqrt(7.5e-4))
-
-    '''
-    angs = [i*math.pi/8 for i in range(8)]
-    for a in angs:
-        x = math.cos(a)
-        y = math.sin(a)
-        p = (30*x,30*y,0)
-        n = (-x,-y,0)
-        biophys.addPlane(p,n, 1.0)
-    '''
-    biophys.addPlane((0,0,0),(0,0,-1),1.0)
-
-    regul = ModuleRegulator(sim)	# use this file for reg too
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    #ct = 0
-    #for x in range(-4,5):
-    #    for y in range(-4,5):
-    sim.addCell(cellType=0, pos=(0,0,-5), color=(1,1,1)) #x*40,y*40,0))
-    #        ct += 1
-    #sim.addCell(cellType=1, pos=(20,0,0))
-
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    cell.targetVol = rodlen + random.uniform(0.0,0.5)
-    cell.growthRate = 1.0
-
-def numSignals():
-    return 0
-
-def numSpecies():
-    return 0
-
-def update(cells):
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    d1.targetVol = rodlen + random.uniform(0.0,0.5)
-    d2.targetVol = rodlen + random.uniform(0.0,0.5)
-    u1 = numpy.random.uniform(-1.0,1.0,size=(3,))
-    u2 = numpy.ones((3,)) - u1
-    d1.color = [parent.color[i] + 0.1*u1[i] for i in range(3)]
-
diff --git a/Examples/ex1_simpleGrowth.py b/Examples/ex1_simpleGrowth.py
deleted file mode 100644
index 1b845a75..00000000
--- a/Examples/ex1_simpleGrowth.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex1_simpleGrowth2D.py b/Examples/ex1_simpleGrowth2D.py
deleted file mode 100644
index 406b63a2..00000000
--- a/Examples/ex1_simpleGrowth2D.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 2**15
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [cell.cellType*0.6+0.1, 1.0-cell.cellType*0.6, 0.3]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex1a_simpleGrowth2D.py b/Examples/ex1a_simpleGrowth2D.py
deleted file mode 100644
index a8d22413..00000000
--- a/Examples/ex1a_simpleGrowth2D.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 2**15
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(-10,0,0)) 
-    sim.addCell(cellType=1, pos=(10,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [cell.cellType*0.6+0.1, 1.0-cell.cellType*0.6, 0.3]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex1a_simpleGrowth2Types.py b/Examples/ex1a_simpleGrowth2Types.py
deleted file mode 100644
index 20e9d247..00000000
--- a/Examples/ex1a_simpleGrowth2Types.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 2**15
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(-10,0,0)) 
-    sim.addCell(cellType=1, pos=(10,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [cell.cellType*0.6+0.1, 1.0-cell.cellType*0.6, 0.3]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex1b_simpleGrowth2D.py b/Examples/ex1b_simpleGrowth2D.py
deleted file mode 100644
index 285c60e7..00000000
--- a/Examples/ex1b_simpleGrowth2D.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 2**15
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
- 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 1 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [cell.cellType*0.6+0.1, 1.0-cell.cellType*0.6, 0.3]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 1 + random.uniform(0.0,0.5)
-    d2.targetVol = 1 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex1b_simpleGrowthRoundCell.py b/Examples/ex1b_simpleGrowthRoundCell.py
deleted file mode 100644
index e65b7c8b..00000000
--- a/Examples/ex1b_simpleGrowthRoundCell.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-max_cells = 2**15
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=True)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0))  
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [cell.cellType*0.6+0.1, 1.0-cell.cellType*0.6, 0.3]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 1 + random.uniform(0.0,0.5)
-    d2.targetVol = 1 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex2_constGene.py b/Examples/ex2_constGene.py
deleted file mode 100644
index baa98232..00000000
--- a/Examples/ex2_constGene.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-#Import Euler integrator for solving ODE system of chemical species inside the cells
-from CellModeller.Integration.CLEulerIntegrator import CLEulerIntegrator
-
-max_cells = 2**15
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
- 
-    
-    integ = CLEulerIntegrator(sim, 1, max_cells)
-
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0]
-
-def specRateCL(): # Add
-    return '''
-    const float k1 = 1.f;
-    float x0 = species[0];
-    rates[0] = k1;
-    '''
-    # k1 = production rate of x0
-
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [0.1+cell.species[0]/20.0, 0.1, 0.1] # Add/change
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex2a_dilution.py b/Examples/ex2a_dilution.py
deleted file mode 100644
index 013ae89c..00000000
--- a/Examples/ex2a_dilution.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-#Import Euler integrator for solving ODE system of chemical species inside the cells
-from CellModeller.Integration.CLEulerIntegrator import CLEulerIntegrator
-
-max_cells = 2**15
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
- 
-    integ = CLEulerIntegrator(sim, 1, max_cells)
-
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [10]
-
-def specRateCL(): # Add
-    return '''
-    const float k1 = 0.f;
-    float x0 = species[0];
-    rates[0] = k1;
-    '''
-    # k1 = production rate of x0
-
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [0.1+cell.species[0]*10.0, 0.1, 0.1] # Add/change
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
diff --git a/Examples/ex2b_diluteRepression.py b/Examples/ex2b_diluteRepression.py
deleted file mode 100644
index 1b698365..00000000
--- a/Examples/ex2b_diluteRepression.py
+++ /dev/null
@@ -1,68 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-#Import Euler integrator for solving ODE system of chemical species inside the cells
-from CellModeller.Integration.CLEulerIntegrator import CLEulerIntegrator
-
-max_cells = 2**15
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
-    
-    integ = CLEulerIntegrator(sim, 2, max_cells)
-
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [10, 0]
-
-def specRateCL(): # Add
-    return '''
-    const float k1 = 0.f;
-    const float k2 = 1.f; 
-    const float k3 = 2.f;
-    float x0 = species[0];
-    float x1 = species[1];
-    rates[0] = k1;
-    rates[1] = k2*k3*k3/(k3*k3 + x0*x0);
-   
-    '''
-    # k1 = production rate of x0
-    # 
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [0.1+cell.species[0], 0.1+cell.species[1]*0.1, 0.1] # Add/change
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
diff --git a/Examples/ex3_simpleSignal.py b/Examples/ex3_simpleSignal.py
deleted file mode 100644
index be408c61..00000000
--- a/Examples/ex3_simpleSignal.py
+++ /dev/null
@@ -1,101 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-from CellModeller.Integration.CLCrankNicIntegrator import CLCrankNicIntegrator 
-from CellModeller.Integration.CLEulerSigIntegrator import CLEulerSigIntegrator
-from CellModeller.Signalling.GridDiffusion import GridDiffusion 
-
-
-
-max_cells = 2**15
-
-#Specify parameter for solving diffusion dynamics #Add
-grid_size = (4, 4, 4) # grid size
-grid_dim = (64, 8, 12) # dimension of diffusion space, unit = number of grid
-grid_orig = (-128, -14, -8) # where to place the diffusion space onto simulation space
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
- 
-    # add the planes to set physical  boundaries of cell growth
-    biophys.addPlane((0,-16,0), (0,1,0), 1)
-    biophys.addPlane((0,16,0), (0,-1,0), 1)
-
-    sig = GridDiffusion(sim, 1, grid_dim, grid_size, grid_orig, [10.0])
-
-    # Here we set up the numerical integration:
-    # Crank-Nicholson method:
-    #integ = CLCrankNicIntegrator(sim, 1, 2, max_cells, sig, boundcond='reflect')
-    # Alternative is to use the simple forward Euler method:
-    integ = CLEulerSigIntegrator(sim, 1, 2, max_cells, sig, boundcond='reflect')
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, sig, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0)) 
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-        sigrend = Renderers.GLGridRenderer(sig, integ) # Add
-        sim.addRenderer(sigrend) #Add
-
-    sim.pickleSteps = 10
-
-
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0]
-    # Specify initial concentration of signaling molecules 
-    cell.signals[:] = [0]
-
-def specRateCL(): # Add
-    return '''
-    const float D1 = 0.1f;
-    const float k1 = 1.f;
-    float x0 = species[0];
-    float x0_sig = signals[0];
-    rates[0] = k1 + D1*(x0_sig-x0)*area/gridVolume;
-    '''
-
-    # D1 = diffusion rate of x0 
-    # k1 = production rate of x0
-   
-  
-
-def sigRateCL(): #Add
-    return '''
-    const float D1=0.1f;
-    float x0 = species[0];
-    float x0_sig = signals[0];
-    rates[0] = -D1*(x0_sig-x0)*area/gridVolume;
-    '''
-    # D1 = diffusion rate of x0 
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [0.1+cell.species[0]/20.0, 0.1, 0.1]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex4_simpleCellCellSignaling.py b/Examples/ex4_simpleCellCellSignaling.py
deleted file mode 100644
index 3eed694f..00000000
--- a/Examples/ex4_simpleCellCellSignaling.py
+++ /dev/null
@@ -1,111 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-from CellModeller.Signalling.GridDiffusion import GridDiffusion #add
-from CellModeller.Integration.CLCrankNicIntegrator import CLCrankNicIntegrator #add
-
-
-max_cells = 2**15
-
-#Specify parameter for solving diffusion dynamics #Add
-grid_dim = (64, 8, 12) # dimension of diffusion space, unit = number of grid
-grid_size = (4, 4, 4) # grid size
-grid_orig = (-128, -14, -8) # where to place the diffusion space onto simulation space
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False)
- 
-    # add the planes to set physical  boundaries of cell growth
-    biophys.addPlane((0,-16,0), (0,1,0), 1)
-    biophys.addPlane((0,16,0), (0,-1,0), 1)
-
-    sig = GridDiffusion(sim, 1, grid_dim, grid_size, grid_orig, [10.0])
-    integ = CLCrankNicIntegrator(sim, 1, 3, max_cells, sig, boundcond='reflect')
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, sig, integ)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(-10.0,0,0))  #Add
-    sim.addCell(cellType=1, pos=(10.0,0,0)) #Add
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-        sigrend = Renderers.GLGridRenderer(sig, integ) # Add
-        sim.addRenderer(sigrend) #Add
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 2.0
-    # Specify initial concentration of chemical species
-    cell.species[:] = [0, 0, 0]
-    # Specify initial concentration of signaling molecules 
-    cell.signals[:] = [0]
-
-def specRateCL(): # Add if/else, new species
-    return '''
-    const float D1 = 0.1f;
-    const float k1 = 1.f;
-    const float k2 = 1.f;
-    const float k3 = 1.f;
-    const float k4 = 5e-5;
-
-    float x0 = species[0];
-    float x0_sig = signals[0];
-
-    float RFP = species[1];
-    float GFP = species[2];
-    
-    if (cellType==0){
-    rates[0] = k1 + D1*(x0_sig-x0)*area/gridVolume;
-    rates[1] = k2;
-    rates[2] = 0;
-
-    } else {
-    rates[0] = D1*(x0_sig-x0)*area/gridVolume;
-    rates[1] = 0;
-    rates[2] = k3*x0*x0/(k4 + x0*x0);
-    }
-    '''
-
-    # D1 = diffusion rate of x0 
-    # k1 = production rate of x0
-    
-
-  
-
-def sigRateCL(): #Add
-    return '''
-    const float D1=0.1f;
-    float x0 = species[0];
-    float x0_sig = signals[0];
-    rates[0] = -D1*(x0_sig-x0)*area/gridVolume;
-    '''
-    # D1 = diffusion rate of x0 
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        cell.color = [0.1+cell.species[1]/20.0, 0.1+cell.species[2]/20.0, 0.1]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/ex5_colonySector.py b/Examples/ex5_colonySector.py
deleted file mode 100644
index 97965b7f..00000000
--- a/Examples/ex5_colonySector.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy
-import math
-
-N0 = 10
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, gamma = 100, max_cells=100000, max_planes=1)
-
-    regul = ModuleRegulator(sim, sim.moduleName)	# use this file for reg too
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    #biophys.addPlane((0,0,0),(0,0,1),1.0) #Base plane
-    #biophys.addPlane((10,0,0),(-1,0,0),1.0)
-    #biophys.addPlane((-10,0,0),(1,0,0),1.0)
-    #biophys.addPlane((0,10,0),(0,-1,0),1.0)
-    #biophys.addPlane((0,-10,0),(0,1,0),1.0)
-
-    sim.addCell(cellType=0, pos=(0,0,0))
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    sim.pickleSteps = 1
-
-def init(cell):
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    cell.growthRate = 1.0
-    cell.n_a = N0//2
-    cell.n_b = N0 - cell.n_a
-
-def update(cells):
-    for (id, cell) in cells.items():
-        cell.color = [0.1, cell.n_a/3.0, cell.n_b/3.0]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-    plasmids = [0]*parent.n_a*2 + [1]*parent.n_b*2
-    random.shuffle(plasmids)
-    d1.n_a = 0
-    d1.n_b = 0
-    d2.n_a = 0
-    d2.n_b = 0
-    for p in plasmids[:N0]:
-        if p == 0: d1.n_a +=1
-        else: d1.n_b +=1
-    for p in plasmids[N0:2*N0]:
-        if p == 0: d2.n_a +=1
-        else: d2.n_b +=1
-    assert parent.n_a + parent.n_b == N0
-    assert d1.n_a + d1.n_b == N0
-    assert d2.n_a + d2.n_b == N0
-    assert parent.n_a*2 == d1.n_a+d2.n_a
-    assert parent.n_b*2 == d1.n_b+d2.n_b
-    assert parent.n_a > 0 or (d1.n_a == 0 and d2.n_a == 0)
-    assert parent.n_b > 0 or (d1.n_b == 0 and d2.n_b == 0)
diff --git a/Examples/ex5_colonySector_3d.py b/Examples/ex5_colonySector_3d.py
deleted file mode 100644
index 9848c315..00000000
--- a/Examples/ex5_colonySector_3d.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=True)
-
-    regul = ModuleRegulator(sim, sim.moduleName)	# use this file for reg too
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    sim.addCell(cellType=0, pos=(0,0,0))
-    biophys.addPlane((0,0,0),(0,0,-1),1.0)
-    biophys.addPlane((0,0,0),(0,0,1),5e-2)
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 10
-
-def init(cell):
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    cell.growthRate = 1.0
-    cell.n_a = 3
-    cell.n_b = 3
-
-def update(cells):
-    for (id, cell) in cells.items():
-        cell.color = [0.1, cell.n_a/3.0, cell.n_b/3.0]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-    plasmids = [0]*parent.n_a*2 + [1]*parent.n_b*2
-    random.shuffle(plasmids)
-    d1.n_a = 0
-    d1.n_b = 0
-    d2.n_a = 0
-    d2.n_b = 0
-    for p in plasmids[:6]:
-        if p == 0: d1.n_a +=1
-        else: d1.n_b +=1
-    for p in plasmids[6:12]:
-        if p == 0: d2.n_a +=1
-        else: d2.n_b +=1
-    assert parent.n_a + parent.n_b == 6
-    assert d1.n_a + d1.n_b == 6
-    assert d2.n_a + d2.n_b == 6
-    assert parent.n_a*2 == d1.n_a+d2.n_a
-    assert parent.n_b*2 == d1.n_b+d2.n_b
-    assert parent.n_a > 0 or (d1.n_a == 0 and d2.n_a == 0)
-    assert parent.n_b > 0 or (d1.n_b == 0 and d2.n_b == 0)
diff --git a/Examples/load.py b/Examples/load.py
deleted file mode 100644
index 01b7470b..00000000
--- a/Examples/load.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-
-max_cells = 2**15
-
-#  This example shows how to load simulation data, and then apply 
-#  another model to simulate more time steps.
-#
-#  This can be useful for example if you want to examine the properties
-#  of a large colony _after_ it has reached some given size.
-#
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, \
-                            max_cells=max_cells, \
-                            max_contacts=32, \
-                            max_sqs=128**2, \
-                            jitter_z=False, \
-                            gamma=10)
-
-    biophys.addPlane((0,0,-0.5), (0,0,1), 0.2)
-    biophys.addPlane((0,0,0.5), (0,0,-1), 1e-4)
-
-    regul = ModuleRegulator(sim, sim.moduleName)	# use this file for reg too
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    #load data from pickle file
-    dataFileName = '' # Edit to include your filename here
-
-    # Or pop up a dialog to choose a pickle
-    if dataFileName=='':
-        print("Please edit the model file to specify a pickle file.") 
-        print("  -- No data was loaded and there are no cells in this simulation!")
-    else:
-        # Import the data and load into Simulator
-        print("Loading data from pickle file: %s"%(dataFileName))
-        import pickle
-        data = pickle.load(open(dataFileName,'r'))
-        sim.loadFromPickle(data)
-
-    if sim.is_gui:
-        # Add some objects to draw the models
-        from CellModeller.GUI import Renderers
-        therenderer = Renderers.GLBacteriumRenderer(sim)
-        sim.addRenderer(therenderer)
-
-def init(cell):
-    cell.targetVol = 2.5 + random.uniform(0.0,0.5)
-    cell.growthRate = 0.5
-
-def update(cells):
-    for (id, cell) in cells.items():
-        cell.color = [1,0,0]
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    d1.targetVol = 2.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 2.5 + random.uniform(0.0,0.5)
-
diff --git a/Examples/sphere_constraints.py b/Examples/sphere_constraints.py
deleted file mode 100644
index 7d7e2d5f..00000000
--- a/Examples/sphere_constraints.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import random
-from CellModeller.Regulation.ModuleRegulator import ModuleRegulator
-from CellModeller.Biophysics.BacterialModels.CLBacterium import CLBacterium
-from CellModeller.GUI import Renderers
-import numpy as np
-import math
-
-max_cells = 50000
-
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    
-    #max_sqr
-    #biophys = CLBacterium(sim, max_cells=max_cells, jitter_z=False, max_sqs=256**2)
-    biophys = CLBacterium(sim, max_cells=max_cells, jitter_z=False, max_spheres=1, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim)
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
-
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0))
-
-    biophys.addSphere((0,0,0), 10, 1.0, -1)
-
-
-    # Add some objects to draw the models
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-
-    sim.pickleSteps = 5 
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.0 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    #cell.growthRate = 0.6
-    cell.growthRate = 1.0
-    cell.color = [0, 1, 0]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.0 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.0 + random.uniform(0.0,0.5)
-
diff --git a/Installers/InstallCellModellerLinux64_public.sh b/Installers/InstallCellModellerLinux64_public.sh
deleted file mode 100755
index cae1c6ef..00000000
--- a/Installers/InstallCellModellerLinux64_public.sh
+++ /dev/null
@@ -1,77 +0,0 @@
-#!/bin/bash
-
-clear
-echo "********************************************************************************"
-echo "*                                                                              *"
-echo "*                          CellModeller Installer                              *"
-echo "*                       ----------------------------                           *"
-echo "*                                                                              *"
-echo "*  This installer script will:                                                 *"
-echo "*                                                                              *"
-echo "*     1. Install CellModeller and dependencies into Anaconda python            *"
-echo "*     2. Create your own ~/cellmodeller local CellModeller environment         *"
-echo "*     3. Add some environment variables to your bash_profile/bashrc            *"
-echo "*                                                                              *"
-echo "********************************************************************************"
-echo
-
-
-# Install dependencies
-echo
-echo 1. Installing CellModeller and dependencies via Anaconda...
-echo ------------------------------------------------------------
-echo
-
-command -v conda >/dev/null 2>&1 || { echo "You must install Anaconda before running this installer..." >&2; exit 1; }
-
-conda create -yn cellmodeller 
-source activate cellmodeller
-conda install -yc trudge cellmodeller
-
-THIS_DIR="`dirname $0`"
-
-echo
-echo 2. Setting up user environment in $HOME/cellmodeller...
-echo -------------------------------------------------------
-echo
-# Setup the users cellmodeller directory with scripts etc.
-#
-# TODO: user option here to choose directory location
-#
-CMDIR=$HOME/cellmodeller
-DATADIR=$CMDIR/data
-MODELDIR=$CMDIR/Models
-EXAMPLEDIR=$CMDIR/Examples
-SCRIPTDIR=$CMDIR/Scripts
-DOCDIR=$CMDIR/Doc
-BINDIR=$CMDIR/bin
-
-# Create CellModeller dir in user home area
-mkdir -p $CMDIR
-mkdir -p $DATADIR
-mkdir -p $BINDIR
-mkdir -p $MODELDIR
-#mkdir -p $EXAMPLEDIR
-#mkdir -p $SCRIPTDIR
-#mkdir -p $DOCDIR
-
-# Copy required stuff
-cp -Ri $THIS_DIR/PackageFiles/Scripts $CMDIR
-cp -Ri $THIS_DIR/PackageFiles/Doc $CMDIR
-cp -Ri $THIS_DIR/PackageFiles/Examples $CMDIR
-cp $THIS_DIR/PackageFiles/cmgui $BINDIR/
-cp $THIS_DIR/PackageFiles/cmpython $BINDIR/
-
-echo
-echo 3. Adding paths to bash_profile
-echo -------------------------------------------------------
-echo
-# Put an environment variable in bash_profile to tell CellModeller where things are
-# Also append our bin dir to PATH
-touch $HOME/.bashrc
-touch $HOME/.bash_profile
-echo export CMPATH=$CMDIR >> $HOME/.bash_profile
-echo export "PATH=$BINDIR:$PATH" >> $HOME/.bash_profile
-echo export CMPATH=$CMDIR >> $HOME/.bashrc
-echo export "PATH=$BINDIR:$PATH" >> $HOME/.bashrc
-
diff --git a/Installers/InstallCellModellerOSX_public.command b/Installers/InstallCellModellerOSX_public.command
deleted file mode 100755
index cae1c6ef..00000000
--- a/Installers/InstallCellModellerOSX_public.command
+++ /dev/null
@@ -1,77 +0,0 @@
-#!/bin/bash
-
-clear
-echo "********************************************************************************"
-echo "*                                                                              *"
-echo "*                          CellModeller Installer                              *"
-echo "*                       ----------------------------                           *"
-echo "*                                                                              *"
-echo "*  This installer script will:                                                 *"
-echo "*                                                                              *"
-echo "*     1. Install CellModeller and dependencies into Anaconda python            *"
-echo "*     2. Create your own ~/cellmodeller local CellModeller environment         *"
-echo "*     3. Add some environment variables to your bash_profile/bashrc            *"
-echo "*                                                                              *"
-echo "********************************************************************************"
-echo
-
-
-# Install dependencies
-echo
-echo 1. Installing CellModeller and dependencies via Anaconda...
-echo ------------------------------------------------------------
-echo
-
-command -v conda >/dev/null 2>&1 || { echo "You must install Anaconda before running this installer..." >&2; exit 1; }
-
-conda create -yn cellmodeller 
-source activate cellmodeller
-conda install -yc trudge cellmodeller
-
-THIS_DIR="`dirname $0`"
-
-echo
-echo 2. Setting up user environment in $HOME/cellmodeller...
-echo -------------------------------------------------------
-echo
-# Setup the users cellmodeller directory with scripts etc.
-#
-# TODO: user option here to choose directory location
-#
-CMDIR=$HOME/cellmodeller
-DATADIR=$CMDIR/data
-MODELDIR=$CMDIR/Models
-EXAMPLEDIR=$CMDIR/Examples
-SCRIPTDIR=$CMDIR/Scripts
-DOCDIR=$CMDIR/Doc
-BINDIR=$CMDIR/bin
-
-# Create CellModeller dir in user home area
-mkdir -p $CMDIR
-mkdir -p $DATADIR
-mkdir -p $BINDIR
-mkdir -p $MODELDIR
-#mkdir -p $EXAMPLEDIR
-#mkdir -p $SCRIPTDIR
-#mkdir -p $DOCDIR
-
-# Copy required stuff
-cp -Ri $THIS_DIR/PackageFiles/Scripts $CMDIR
-cp -Ri $THIS_DIR/PackageFiles/Doc $CMDIR
-cp -Ri $THIS_DIR/PackageFiles/Examples $CMDIR
-cp $THIS_DIR/PackageFiles/cmgui $BINDIR/
-cp $THIS_DIR/PackageFiles/cmpython $BINDIR/
-
-echo
-echo 3. Adding paths to bash_profile
-echo -------------------------------------------------------
-echo
-# Put an environment variable in bash_profile to tell CellModeller where things are
-# Also append our bin dir to PATH
-touch $HOME/.bashrc
-touch $HOME/.bash_profile
-echo export CMPATH=$CMDIR >> $HOME/.bash_profile
-echo export "PATH=$BINDIR:$PATH" >> $HOME/.bash_profile
-echo export CMPATH=$CMDIR >> $HOME/.bashrc
-echo export "PATH=$BINDIR:$PATH" >> $HOME/.bashrc
-
diff --git a/Installers/UninstallCellModeller b/Installers/UninstallCellModeller
deleted file mode 100755
index cb2d95a8..00000000
--- a/Installers/UninstallCellModeller
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/bin/bash
-source $HOME/.bash_profile
-
-if [ -d "$CMPATH/data" ]
-then
-  mv -f $CMPATH/data $HOME/cellmodeller.data.recovered
-fi
-
-rm -rf $CMPATH
-
-conda-env remove -yn cellmodeller
-
-echo 
-echo ---------------------------------------------------------------------------------------------------------
-echo "CellModeller and its dependencies (including the conda environment) have been removed."
-echo
-echo "If you had data in your $CMPATH/data folder, it has been copied to "
-echo
-echo "		$HOME/cellmodeller.data.recovered"
-echo
-echo "In case you had anything valuable in there you can recover it, or you can simply delete this directory."
-echo
-echo ---------------------------------------------------------------------------------------------------------
diff --git a/Installers/cmgui b/Installers/cmgui
deleted file mode 100755
index f075fb66..00000000
--- a/Installers/cmgui
+++ /dev/null
@@ -1,4 +0,0 @@
-#!/bin/bash
-source $HOME/.bash_profile
-source activate cellmodeller
-python $CMPATH/Scripts/CellModellerGUI.py $1 
diff --git a/Installers/cmpython b/Installers/cmpython
deleted file mode 100755
index 21849da5..00000000
--- a/Installers/cmpython
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/bin/bash
-source activate cellmodeller
-python "$@"
diff --git a/Installers/make_install_zips.sh b/Installers/make_install_zips.sh
deleted file mode 100755
index d6da461a..00000000
--- a/Installers/make_install_zips.sh
+++ /dev/null
@@ -1,39 +0,0 @@
-#!/bin/bash
-
-THIS_DIR="`dirname $0`"
-
-# How to get release version from git tag?
-VERSION=`git describe`
-
-# OSX from public repo
-INSTALLERDIR=InstallCellModeller-$VERSION-OSX
-mkdir -p $INSTALLERDIR
-mkdir -p $INSTALLERDIR/PackageFiles
-cp -Rf $THIS_DIR/../Examples $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Scripts $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Examples $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Doc $INSTALLERDIR/PackageFiles/
-cp $THIS_DIR/cmpython $INSTALLERDIR/PackageFiles/
-cp $THIS_DIR/cmgui $INSTALLERDIR/PackageFiles/
-cp -f $THIS_DIR/InstallCellModellerOSX_public.command $INSTALLERDIR/InstallCellModeller
-cp -f $THIS_DIR/UninstallCellModeller $INSTALLERDIR/UninstallCellModeller
-chmod +x $INSTALLERDIR/InstallCellModeller
-tar -czf $INSTALLERDIR.tgz $INSTALLERDIR 
-rm -rf $INSTALLERDIR
-
-# Linux 64bit from public repo
-INSTALLERDIR=InstallCellModeller-$VERSION-Linux64
-mkdir -p $INSTALLERDIR
-mkdir -p $INSTALLERDIR/PackageFiles
-cp -Rf $THIS_DIR/../Examples $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Scripts $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Examples $INSTALLERDIR/PackageFiles/
-cp -Rf $THIS_DIR/../Doc $INSTALLERDIR/PackageFiles/
-cp $THIS_DIR/cmpython $INSTALLERDIR/PackageFiles/
-cp $THIS_DIR/cmgui $INSTALLERDIR/PackageFiles/
-cp -f $THIS_DIR/InstallCellModellerLinux64_public.sh $INSTALLERDIR/InstallCellModeller.sh
-cp -f $THIS_DIR/UninstallCellModeller $INSTALLERDIR/UninstallCellModeller
-chmod +x $INSTALLERDIR/InstallCellModeller.sh
-tar -czf $INSTALLERDIR.tgz $INSTALLERDIR 
-rm -rf $INSTALLERDIR
-

From f0c0cba90a004fb950dfc05f663be9728ff07e3e Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Mon, 5 Oct 2026 13:18:54 +0100
Subject: [PATCH 03/13] Pin setuptools version

---
 setup.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/setup.py b/setup.py
index ed0419c8..d2ba9630 100644
--- a/setup.py
+++ b/setup.py
@@ -19,16 +19,13 @@
 setup(
     name='CellModeller',
     install_requires=[
-        'numpy', 'scipy', 'pyopengl', 'mako', 'pyqt5', 'pyopencl', 'reportlab', 'matplotlib'
+        'numpy', 'scipy', 'pyopengl', 'mako', 'pyqt5', 'pyopencl', 'reportlab', 'matplotlib',
+        # resource_string/resource_stream come from pkg_resources, removed in setuptools 82
+        'setuptools>=70,<82',
     ],
     packages=[
         'CellModeller',
-        'CellModeller.Biophysics',
-        'CellModeller.Biophysics.BacterialModels',
-        'CellModeller.Biophysics.GeneralModels',
-        'CellModeller.Integration',
         'CellModeller.Regulation',
-        'CellModeller.Signalling',
         'CellModeller.GUI'
     ],
     package_data={'': ['*.cl', '*.ui']},

From 5567a5689df55673ba95e30ef122d7b739e6ee35 Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Tue, 6 Oct 2026 09:56:23 +0100
Subject: [PATCH 04/13] Add .github setup

---
 .github/pull_request_template.md              | 37 ++++++++++++
 .github/workflows/FormatCheck.yml             | 37 ++++++++++++
 .github/workflows/SpellCheck.yml              | 13 +++++
 .github/workflows/validate-branch-targets.yml | 58 +++++++++++++++++++
 4 files changed, 145 insertions(+)
 create mode 100644 .github/pull_request_template.md
 create mode 100644 .github/workflows/FormatCheck.yml
 create mode 100644 .github/workflows/SpellCheck.yml
 create mode 100644 .github/workflows/validate-branch-targets.yml

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
new file mode 100644
index 00000000..a872ee84
--- /dev/null
+++ b/.github/pull_request_template.md
@@ -0,0 +1,37 @@
+# Pull Request Template
+
+## Description
+Please include a summary of the change and which issue is addressed. Please also include relevant motivation and context.
+
+## Type of Change
+- [ ] Bug fix
+- [ ] New feature
+- [ ] New model
+- [ ] Code improvement
+- [ ] README update
+
+## Code Changes
+### Summary of Changes
+- Describe the changes made in the codebase.
+- Link to any relevant issues or discussions.
+
+### Unit Testing
+- Provide a list of unit tests added or updated.
+- Ensure all tests pass before submitting the PR.
+
+## Supporting Analysis
+- Provide description of analysis and relevant output
+
+## Example Job
+### Subheader Describing any Comparisons / Analysis
+- Provide a description of how to execute the new feature/model.
+- Compare to benchmark results if applicable.
+- Include any relevant logs, graphs, or data files.
+
+## Checklist
+- [ ] Code is commented
+- [ ] I have made corresponding changes to the documentation
+- [ ] Unit tests are present and working
+
+## Additional Notes
+- Add any other context about the pull request here.
diff --git a/.github/workflows/FormatCheck.yml b/.github/workflows/FormatCheck.yml
new file mode 100644
index 00000000..6be5fea6
--- /dev/null
+++ b/.github/workflows/FormatCheck.yml
@@ -0,0 +1,37 @@
+name: format-check
+
+on:
+  push:
+    branches:
+      - 'main'
+  pull_request:
+    branches:
+      - dev*
+      - staging
+      - main
+
+jobs:
+  format_check:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.12'
+
+      - name: Create and activate virtual environment
+        run: |
+          python -m venv venv
+          source venv/bin/activate
+
+      - name: Install black in virtual environment
+        run: |
+          venv/bin/pip install black
+
+      - name: Check Python Code Formatting
+        run: |
+          venv/bin/black --check --diff ./cellmodeller/
+          venv/bin/black --check --diff ./scripts/
diff --git a/.github/workflows/SpellCheck.yml b/.github/workflows/SpellCheck.yml
new file mode 100644
index 00000000..ed4fe177
--- /dev/null
+++ b/.github/workflows/SpellCheck.yml
@@ -0,0 +1,13 @@
+name: Spell Check
+
+on: [pull_request]
+
+jobs:
+  typos-check:
+    name: Spell Check with Typos
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Actions Repository
+        uses: actions/checkout@v4
+      - name: Check spelling
+        uses: crate-ci/typos@v1.18.0
diff --git a/.github/workflows/validate-branch-targets.yml b/.github/workflows/validate-branch-targets.yml
new file mode 100644
index 00000000..182f9dd2
--- /dev/null
+++ b/.github/workflows/validate-branch-targets.yml
@@ -0,0 +1,58 @@
+name: Validate PR Branch Targets
+
+on:
+  pull_request:
+    branches:
+      - dev*
+      - staging
+      - main
+
+jobs:
+  validate:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Check branch naming and targets
+      run: |
+        HEAD="${{ github.head_ref }}"
+        BASE="${{ github.base_ref }}"
+
+        echo "Head branch: $HEAD"
+        echo "Base branch: $BASE"
+
+        #
+        # === ALLOWED HEAD BRANCH PATTERNS ===
+        #
+        if [[ ! "$HEAD" =~ ^(feature|bug|hotfix)/ && ! "$HEAD" =~ ^dev.*$ && "$HEAD" != "staging" ]]; then
+          echo "� Branch name must start with 'feature/', 'bug/', 'hotfix/', 'dev*', or be 'staging'."
+          exit 1
+        fi
+
+        #
+        # === MERGE RULES ===
+        #
+
+        # 1. feature/bug/hotfix/dev* may NOT merge directly into main
+        if [[ ( "$HEAD" =~ ^(feature|bug|hotfix)/ || "$HEAD" =~ ^dev.*$ ) && "$BASE" == "main" ]]; then
+          echo "� '$HEAD' cannot merge into 'main'. Merge into 'staging' instead."
+          exit 1
+        fi
+
+        # 2. feature/bug/hotfix branches may only merge into dev* or staging
+        if [[ "$HEAD" =~ ^(feature|bug|hotfix)/ && ! "$BASE" =~ ^(dev.*|staging)$ ]]; then
+          echo "� Feature/bug/hotfix branches may only merge into 'dev*' or 'staging'."
+          exit 1
+        fi
+
+        # 3. dev* branches may only merge into staging or other dev* branches
+        if [[ "$HEAD" =~ ^dev.*$ && ! "$BASE" =~ ^(staging|dev.*)$ ]]; then
+          echo "� Dev* branches may only merge into 'staging' or another dev* branch."
+          exit 1
+        fi
+
+        # 4. staging may only merge into main
+        if [[ "$HEAD" == "staging" && "$BASE" != "main" ]]; then
+          echo "� 'staging' may only merge into 'main'."
+          exit 1
+        fi
+
+        echo "✅ PR branch name and target are valid."

From e7219a887010d0843660ada752c198dc6bc1d37e Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Wed, 7 Oct 2026 10:39:29 +0100
Subject: [PATCH 05/13] Remove old analysis notebook

---
 Scripts/Analysis.ipynb | 2757 ----------------------------------------
 1 file changed, 2757 deletions(-)
 delete mode 100644 Scripts/Analysis.ipynb

diff --git a/Scripts/Analysis.ipynb b/Scripts/Analysis.ipynb
deleted file mode 100644
index 306b5d35..00000000
--- a/Scripts/Analysis.ipynb
+++ /dev/null
@@ -1,2757 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import CellModeller\n",
-    "from CellModeller.Simulator import Simulator "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Set up OpenCL context:\n",
-      "  Platform: Apple\n",
-      "  Device: Intel(R) Core(TM) i7-3820QM CPU @ 2.70GHz\n",
-      "Importing model ex1_simpleGrowth\n",
-      "Running in batch mode: no display will be output\n"
-     ]
-    }
-   ],
-   "source": [
-    "model = '/Users/timrudge/cellmodeller/Examples/ex1_simpleGrowth.py'\n",
-    "sim = Simulator(model, 0.025, clPlatformNum=0, clDeviceNum=0, saveOutput=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "      10           6 cells           3 contacts\n",
-      "   10     6 cells       3 cts       1 iterations  residual = 0.000001\n",
-      "      20           6 cells           3 contacts\n",
-      "   20     6 cells       3 cts       1 iterations  residual = 0.000001\n",
-      "      30           6 cells           3 contacts\n",
-      "   30     6 cells       3 cts       1 iterations  residual = 0.000001\n",
-      "      40           6 cells           3 contacts\n",
-      "   40     6 cells       3 cts       1 iterations  residual = 0.000015\n",
-      "      50          11 cells           8 contacts\n",
-      "   50    12 cells       9 cts       2 iterations  residual = 0.000023\n",
-      "      60          12 cells          10 contacts\n",
-      "   60    12 cells      10 cts       1 iterations  residual = 0.000139\n",
-      "      70          12 cells          10 contacts\n",
-      "   70    12 cells      10 cts       1 iterations  residual = 0.000053\n",
-      "      80          12 cells          10 contacts\n",
-      "   80    12 cells      10 cts       1 iterations  residual = 0.000101\n",
-      "      90          24 cells          25 contacts\n",
-      "   90    24 cells      25 cts       1 iterations  residual = 0.000382\n",
-      "     100          24 cells          29 contacts\n",
-      "  100    24 cells      28 cts       2 iterations  residual = 0.000097\n",
-      "  100    24 cells      29 cts       0 iterations  residual = 0.000290\n",
-      "     110          24 cells          33 contacts\n",
-      "  110    24 cells      30 cts       2 iterations  residual = 0.000106\n",
-      "  110    24 cells      32 cts       1 iterations  residual = 0.000170\n",
-      "  110    24 cells      33 cts       0 iterations  residual = 0.000140\n",
-      "     120          24 cells          36 contacts\n",
-      "  120    24 cells      35 cts       2 iterations  residual = 0.000080\n",
-      "  120    24 cells      36 cts       0 iterations  residual = 0.000204\n",
-      "     130          43 cells          79 contacts\n",
-      "  130    44 cells      82 cts       3 iterations  residual = 0.001070\n",
-      "     140          48 cells          91 contacts\n",
-      "  140    48 cells      90 cts       3 iterations  residual = 0.000842\n",
-      "  140    48 cells      93 cts       1 iterations  residual = 0.000846\n",
-      "     150          48 cells          99 contacts\n",
-      "  150    48 cells      97 cts       3 iterations  residual = 0.000673\n",
-      "  150    48 cells      99 cts       0 iterations  residual = 0.001153\n",
-      "     160          48 cells         111 contacts\n",
-      "  160    49 cells     102 cts       3 iterations  residual = 0.001096\n",
-      "  160    49 cells     109 cts       2 iterations  residual = 0.001048\n",
-      "     170          77 cells         169 contacts\n",
-      "  170    80 cells     168 cts       5 iterations  residual = 0.001000\n",
-      "  170    80 cells     174 cts       1 iterations  residual = 0.001885\n",
-      "     180          96 cells         218 contacts\n",
-      "  180    96 cells     214 cts       4 iterations  residual = 0.001647\n",
-      "  180    96 cells     221 cts       1 iterations  residual = 0.002213\n",
-      "  180    96 cells     223 cts       1 iterations  residual = 0.001897\n",
-      "     190          96 cells         240 contacts\n",
-      "  190    96 cells     233 cts       4 iterations  residual = 0.002012\n",
-      "  190    96 cells     239 cts       3 iterations  residual = 0.001550\n",
-      "  190    96 cells     241 cts       1 iterations  residual = 0.001554\n",
-      "     200          96 cells         260 contacts\n",
-      "  200    96 cells     252 cts       4 iterations  residual = 0.002374\n",
-      "  200    96 cells     259 cts       3 iterations  residual = 0.001980\n",
-      "  200    96 cells     260 cts       2 iterations  residual = 0.001981\n",
-      "     210         117 cells         319 contacts\n",
-      "  210   120 cells     311 cts       8 iterations  residual = 0.002407\n",
-      "  210   120 cells     325 cts       5 iterations  residual = 0.002655\n",
-      "     220         176 cells         467 contacts\n",
-      "  220   179 cells     462 cts       6 iterations  residual = 0.003973\n",
-      "  220   179 cells     473 cts       4 iterations  residual = 0.003995\n",
-      "  220   179 cells     477 cts       1 iterations  residual = 0.002915\n",
-      "     230         189 cells         553 contacts\n",
-      "  230   190 cells     543 cts       7 iterations  residual = 0.003461\n",
-      "  230   190 cells     554 cts       5 iterations  residual = 0.003261\n",
-      "     240         192 cells         595 contacts\n",
-      "  240   192 cells     584 cts       7 iterations  residual = 0.004022\n",
-      "  240   192 cells     594 cts       4 iterations  residual = 0.004525\n",
-      "     250         200 cells         624 contacts\n",
-      "  250   204 cells     613 cts       8 iterations  residual = 0.003974\n",
-      "  250   204 cells     628 cts       5 iterations  residual = 0.003983\n",
-      "  250   204 cells     629 cts       1 iterations  residual = 0.004595\n",
-      "     260         244 cells         754 contacts\n",
-      "  260   250 cells     760 cts       9 iterations  residual = 0.005617\n",
-      "  260   250 cells     765 cts       6 iterations  residual = 0.005186\n",
-      "  260   250 cells     771 cts       2 iterations  residual = 0.005678\n",
-      "  260   250 cells     772 cts       0 iterations  residual = 0.005475\n",
-      "     270         298 cells         941 contacts\n",
-      "  270   301 cells     941 cts       8 iterations  residual = 0.007417\n",
-      "  270   301 cells     956 cts       6 iterations  residual = 0.005608\n",
-      "  270   301 cells     960 cts       5 iterations  residual = 0.005668\n",
-      "  270   301 cells     962 cts       1 iterations  residual = 0.006256\n",
-      "     280         346 cells        1116 contacts\n",
-      "  280   351 cells    1112 cts       9 iterations  residual = 0.007673\n",
-      "  280   351 cells    1127 cts       6 iterations  residual = 0.008235\n",
-      "  280   351 cells    1129 cts       1 iterations  residual = 0.008556\n",
-      "     290         371 cells        1216 contacts\n",
-      "  290   373 cells    1206 cts       9 iterations  residual = 0.008575\n",
-      "  290   373 cells    1219 cts       6 iterations  residual = 0.008150\n",
-      "  290   373 cells    1223 cts       1 iterations  residual = 0.008291\n",
-      "  290   373 cells    1224 cts       1 iterations  residual = 0.007606\n",
-      "     300         410 cells        1350 contacts\n",
-      "  300   418 cells    1351 cts       9 iterations  residual = 0.008558\n",
-      "  300   418 cells    1366 cts       6 iterations  residual = 0.008344\n",
-      "  300   418 cells    1371 cts       1 iterations  residual = 0.008641\n",
-      "  300   418 cells    1372 cts       1 iterations  residual = 0.007459\n",
-      "     310         468 cells        1532 contacts\n",
-      "  310   470 cells    1526 cts      10 iterations  residual = 0.009233\n",
-      "  310   470 cells    1536 cts       6 iterations  residual = 0.011739\n",
-      "  310   470 cells    1539 cts       1 iterations  residual = 0.010059\n",
-      "  310   470 cells    1540 cts       1 iterations  residual = 0.007609\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Run the simulation to ~500 cells\n",
-    "while len(sim.cellStates)<500:\n",
-    "    sim.step()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "500\n",
-      "316\n"
-     ]
-    }
-   ],
-   "source": [
-    "print sim.phys.n_cells\n",
-    "print sim.stepNum\n",
-    "\n",
-    "# We can get the data directly from the running simulation\n",
-    "cs = sim.cellStates\n",
-    "\n",
-    "# or from a saved pickle file\n",
-    "import cPickle\n",
-    "data = cPickle.load(open('/Users/timrudge/cellmodeller/data/ex1_simpleGrowth-17-11-17-14-00/step-00600.pickle','rb'))\n",
-    "cs = data['cellStates']\n",
-    "# And we can restart the saved simulation:\n",
-    "sim.loadFromPickle(data)\n",
-    "\n",
-    "# Make some convenient data arrays from cell properties\n",
-    "lengths = np.array([cell.length for (id,cell) in cs.iteritems()])\n",
-    "pos = np.array([cell.pos for (id,cell) in cs.iteritems()])\n",
-    "norm = np.array([cell.dir for (id,cell) in cs.iteritems()])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.quiver.Quiver at 0x11d8b6790>"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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wIN37zBFdZZ9HWxyFBsdx8HER58EJ/VyqZ0RCGAvaWKXGq6dKFqvN+KNhAptx1lFOZErB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\ntgo9Xqz7+mfAngAGEFMHWsKxDOqqy2GyxckWedp9A8DSGSNlfxs1LAWRl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TkAACAASURB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KaGVyFs6uA2zMWTOqJev8+UQex9APMKbB07dkRHAHGOODzy3k7DwkRUMYsdYRK/BFCbatXp\nKCzBEpbs8Le9CT/6PZi+co9OM6VwIoBRTSs0PzKeqTrV48aitQcjwlqF/EOllGJsj5Z4ZmxXbrCa\n/viZGWnY/NgAPHzZj/hm+o2YdUt7OKTqWYmSnHagtEAJ5BrVNU0xY3d+4lNMWb6LaaqMlsJl9nl1\nPtNfnVrAv/nmmxHtlrNvmFJ8++jVmNSqqh1l69atcd999zG/fzbEx1eZmwkh6Nkzol2bmU7TPG6k\nxPN7Rns8HgwZMgTHjx/Hy197DVXK1HPhiSKs1agXN4W+gHJv69evjwULFuDnrz9k1i/t2yZS4cys\n9zbLBbNiuxejuqYpLpWGiXbccQVBfTfbdyE/81MGtYaN6gWlteed1zRkat80EMYxeMFgwzunYnx7\nB5zBUrAssmZBZADQMbkCIZYZgTNGAR+hYV/C8H4sp0pDHN8ZgRQO4m8TRmq2muUxT1q6k3tuQgjG\njh0LABjRpTHXXMnKPX3wwQcBRF5A/oAfj76+iVkukofbYcPfMjvAd+ALjBs3xHBulgldfjHxtB67\n/wyCwaBJZyInJElidyvzncZll13OLCXJwlvoi5g3Cxsi0RaAJ97BtDSketxo2LAhxo8fr9neoEGD\nmEuVVrd0Kb9WPd/VId/39IbACXcz9Jz3GbOmvDwX6trr8vPCc/VEs5D8+9//RrtpK+BnaL4bD0Ty\nrc3yxlkWBV8ghI0HThrcLV2iPPOZGWlYvHgx8hp2R35ZGKkeNxKKfoaXpqAMTlOXDwUMec+HDh3C\nN++8iHDd4cw4B9Y7wev1Iv7EPnTN3YJvmtxu3ImzHxAJMB04cCDCg2bAVsf4+7QalyKIIHzYlzBm\n/uncSu1Aj1l0Oe/lxToHz2eWnePF7A/2KS8guSFGNMFw99134x//+AcGvLiFeb6UeAdooAKFfqLk\n/sqmW0KI5c5JZrWtE+zAn7rXRdOmTY2diWzAXe0caNeuPbP3+F+6exAIBvFqTqmlTmb67ay8azMf\nYU1UXtPnFfMEupnf+KZ29VFQUICtx8LM5+f97b/i4SXfMut/c+fCRgAKbt66Ff9zdSuVUUrRfPpq\n8CLRnxvT2XCdgHnBGLkWvMyKFSswfPhwpd3ulH8sw3uHbSAOdkoU6znI+NunMWVJyMRaxWz9+vXw\neDw4ioZ4PHtfjdVQuNgQPmxBVMw0Y15KBm9FzKtUxquCZuYzq1B1djpdFojawxcA5syZg/j4iCCe\numwn/Cp3rtthw6xb2qNr/TA2bdqEP/xhqPKZ7D+0appL9VR1dFL7QQGgNAi8vK0I85pGIsLlObQR\nAn+IYvWvdrRrV/UZ6wXdonnVwsdFfczUKpYQD4QpPG4HEpx204CrWEuTmqHvkPXWll+Uz1i+Tfnc\ntLQA8+7ppyyY7rjjDqxcuRKZjBf+0+t+jElYy+PSo9ageRq/zV+sFO6oTqWywsJC3H///QilDGJa\nezzxDk1goDxH80Z2MBWSamENAKNGjdL83ajiV8wZNhj/t/kYc8x6X3F2jhcljPagDhuJWkmtT+v6\neHvrr4btsqtAT//+/QEAXQFIkiR6XZ8lQsO+xOFpxrzqWaw60VbOYbVBRXX7bKt5buWXeGnTL6Bu\nj2Gcfr8fH+87abhms5xRGb1GUJ364bFoFSUlJUhMTNTUi0fpaWZfayAivL599Go0aFD18jTrR3w+\nYGleX3zxBa699lpFQ+yceS/OpPdF2JWs3I9OHj/S09PRYvrHpo1lYgnIkrXjGdl7NIsLmeHtPJjc\ntymaNGlSrXsXDAYhSRI+2JXH3NeGEEoY8ZE12dwimmWgqKgINzy9CYUBY2ETXvUyIGLa/u9//4uX\nvalAfPX7qgvYCA1bYAmeZqzXiuRa1Oo60VOX7URxcRHuvMG8V3JmRpqpL9vsbzUsrY214LilYyP0\nTHWgR48ehmN8vO8kU8thtrWUCNwOguLykMaMHm2sZvXDY4mMlXtnq+/RggUL8AFN4/rI586dixde\neEHZ9vrrr+Puu++2XMu8pmHN0fXXX6/8OzvHi+LWQxEm2sjvEY19cOS+jlTPDaaLIquuDKBKO5b9\n0Hq25VYopXZjqW0uIy9A9Ps28rjQ1v8jPitNA2EULeE9R9VpiGMW3f7ll19i6tSpOH39Y0z/dREn\n9TE3NxeLFi3CV199BdpvZsy1yQU1hxDYAi5qQdFr/gZDYIs/DDz54V70THXgiiuuMD1WsiOMwoDx\nZaU3MTZIsONEqdFcJ6MWeKy0tOkr9+CpEVdhBENYA5GXqD79SQ4ImjeyA2at2I6igKQR0Pv370fb\ntm0Nx4pmNo0m0K28kPXfeXTA7ZgiSUwNrkXJ3kihi0q+/PJLvPrqq7j77rsv2As11eM2vc5Faw8q\nwlrGFwjhsxPx2LdsE5oM7wL9a0odlMVyudglAgKjD1veJ9p9kbHakIaFet+jR49i795ybNkccZvo\nUf8GNm/ejLfeegsl9drim0AzBGjkN2OWPqXmzowUPPnpz4YOY1MGtcZ1GWnYvHkzejy5DsfO+E3H\nodmemornnnsOAHDtvM+QW2QMjBTBY+cHkdYlsATvJee3J2iENatSFwAkHfkcJKwV+KwI8A7hw6AB\ndpEG/Vh4GuzTn/4Q83XkFvqQmZGGr6b1xR32zZr0N5awBtipPQj6MSw98k+zdDdW6s/0lXs0daIz\n/vYppizTppY9nr0PADRV19I8bgxpVw9fFHrwU7dJ6DV/Ax5/fzfuWvErcq97DL3mb4CHkzpFQDVV\nzBKJX/N3kj2o+buei4BSipR4RyTQzQS3w4a+bRowr1N+Lnj340RpEPVuehDlVCusPW6HaR31RMmP\nu9rZNLXXwyWnlGp7Zvcl5SzLWB8/fpy5vVmzZgikdoafGufLIWn9xj179sT111+PDacSFWEtEy19\nCgDI0W3oYTuMVI+LWXceALJubsdNSYvG1MFtq72v4OwRPmyBJc6mZ/TMm1rht6/fR6t+Y/H0uh9N\nNcoxY8ag1+0TsXS/z9SXbVYFiheNm5mRhmvnr0cuw2Sovo7CwkJ4PB6DZnhfj8vhPrEXHo8HAwcO\nVK5Z/Z3JA69EtwaU6welwQr8T8d4fJIbx07vQvQsW1YP80ff3Y4Q4Tdc4EWRT+zdEKX7PscjjzwC\nIJLC88Ybb2D69OkAIr2rX3zxRWRlZUXGTymysrKwYMGCKt/66TI0THRgYIfUSC3ywjI4g2VYcEcv\nbmyAHCDHu8c2TlCcma9UfpedPHlSU851+fLluPHGG5U87Zc//g4vbD6lsbTE2YCByScx7/5RqFPH\nWDebZSUY2DpFk3s+a9Ys3HjjjbjuuusM+/N+PynxDuTMNPqNqxulzrMGWbkeq9aEs9lXwMaqD1sI\nbIElrATh8IW6C19n9Vf+Lisrw5tvvok//elPmu+FQiEUFxcr5S7f3/EbJi35DlDVdFaf0+wlWB4I\nM8d69OgRPPvVcRC7k3lMs+sNB8px2dH1+PKtZ02bdajRv9weubElGoeOYez7p6pVchIwvrSt+nE9\nbgcCvhKU0jiNyf/06dOatpbygkXG5/PB7a7SSktLS5GQUNXIIj8/H06nU/G5U0rxzjvv4Pbbb69W\naU23w8b1t7MElt/vx3PPPYd+/fqhe/fuhn0i9+AAcgvLUccWRJ2fN2DKlKmWhQ7v2b/B/Rv+MvRq\ndOwYKbM78dm3sPKnEGx16muOWVFRgdYz14HlOOYJYKsLZCE4Lw5E0JmgRrEShMMzb3oLfVi57Rc8\n89mhSMEUXyEGXm589Gw2m0ZwtLDlo9nJr+FvPRjHiisM52T5L112CZTyy38+1sGHvw5qif9szzd9\n0bHM7ZLDBXuXkVGFtfpF6omjaHTqO9zWui4efvjhym80Q+pG68FSevQmXav+6SJfAMtubYqioiL0\n71+lpep7UOsrhqmFNQCNsAaAevXqaf4mhGDcuHHKWGO5TnX3KiulP72FPqCsAJ5fDmHq1KmG7+uF\nbXHIDl+zAQBgGtUcLQXOFwhhMxpi9V9mIfWm+yvrhKdAqgON6f/06QKsevGvQNNRzOhqnnm+b5sG\nmpK0gNb0zIvfAMx93ILajdCwBTUGTytw28IIw4YKlTnWaSdYMIrdbEAmNzcXjRo10tRaNqvOJZUX\nYXyGB//ZT6tlTlRjphnKQuWayyXUq1cPcXFVFoDIi3Q3fCpzKwkH8OyYrhjRtYnue7GnWbnsEuaP\n6mipQQtr3F9O7YNQKASHw3FeNLRYrlN9f6I3UNHOsY0AdVwOpYhLtMI9Zppq3zYNLLcVDQfKTfPE\nY0nx+/HHH+H1erH24GksO2JHUOXDJgDu6NEUczMj128lpVBo37UH0V5TcN7h1Vd2xjk1whoAKoKU\nGUCjDlob/cYBrNqZq/mMVaN5yqDW+Hn+EOyccwuua+o2DfaSoZRi//793Gsxi3r1Fvow8e1vMfml\npRphDciauTYKnUoOTF6+RxOIpw+WcgTOILNdimH+HDYCj9sRaenpCOOu9g5GcwZG8JsOWTuTJEkR\n1mbBYDWBLDR8gRBslYsuUnbatHa4jH5+1MFTrDkO0Ug52VjrvrPm4e0tv1gS1hKBqbBWn0d/Paz2\nrJIk4eWXX8abOws1whqIaO3qdDSz6zof91ZwYRAatqBGYa3sJy3daUnjjaaFWC2LmJ3jNVQ7U5fR\nrB9vA929Co/dPgAjR440HI83FuN5tb55wFwzZ12TTHFxMcrKyrAlL6TMnyNYgvnjrsVIlWYuV+I6\nceIEGjRooFgfotUFt9o2NSXegfg4frU0q+cC2K1CH+hRFw3q18esj37QfOa0ESy41dziEsscA1Aa\nytRUHrcaMz876zxqoj3nVgLOzH4LgPk1C35/CB+24ILAyl21WuY0WqGRWPJnc3Jy8N+dp0Hi68IT\n70BJeVWDhJNlIaD5QJBm/N+H2mfPe6Gzos2t+GxZxVOSkpKQlJSEzMurzl1aWgq73a4RkHXdBElH\nPsfgNvUwbdo0zXjNgqYWrT2ISUt3KgKVN5enywKa4jisQjV63ymrJKnLITHv5ZI9Jfg662rExVX1\nYU+yhzC6jVM5R2FhIXbs2IF+/djCxapfPLfQx6z7biUnm4WNEIQphTNUhnljro1aHY+X7hTtObdS\nFrW6DXcEtRthEhecc8xaEaqJJpCtmLplOqcEsGJ8O/w8fwji4+yaIhoAAFscnl73IwBg9+7d+OST\nTwzHkNuS8lp/EgJM/vtSLF26VNlmxTwNRARbNBNlQkIC1nx/SmPezPdR/Fy/J1r1Hxv1HADb5Dt9\n5R5uXrYeXyCER9/bpZjzn/hwX1TN0hcIcXuUq03EcsvXXXOH4cFbqgrdzJw5Ez///DP3+FbnWK77\nzjOty99hoY/ndtojzWp+nj8E30zvj8yMNOY45P1Y+c8y0Z5zK78X9XUBFClxYeV8sfxOBLULoWEL\nzjlWIszD4TBs/mIE45IM+6t7A1ttvzlkyBDFv2wWvd526nKc2vAa9n/yBnf8vAYmYQosPxqHbt06\ncq8VoKDMYo5QtFf19620goQtDo8u34tnP/sJf+yUjN++fh8PPfSQJvdYfVyWNue0S5bNunKEdHWj\n2tXwhEZycjKyc7x48sM9OOEegI2HQ6hX6evXo59jlxRCmT8MYq9ahOhbVMr7FBQUoG7dqmht5r0N\n+nF7r5b4/OCpiGsiUII/XuVRjiHvX53ypfIcsOYyLliKH374AZkZVzKPC8DQRvTrrH4IhUI4ceIE\nGjVqpFzTQ29tYVY7E9RuhA9bcN4wi1xdsGABXvpgC5y979YUANH7e7NzvJi9coemTSZg/tKM5qe0\n0RCeGdvV9EUbSwMTmZ9++gkjJj4J31UjEWBUuQIiwUcVQXbOuJk/UyYcKMfN9U7jX4/9D/PzaMVl\nFn5yAN5CHxom2BGgErOvcnVgX5eEeSM7MueZFV0vz8OVziK0a1dVrz4UCsFmizwjlFLMmTMHTa8f\nhVe3HFeegUn9W+LW7s2UfQKBAObPn4/69evj/vvvN5xb/fwMb0Fwa7dmaNGiBYBIHvoPP/yATp06\ncfeJtfBIrI1FYt3n+j8+ilD7m5FbWC6ixGsBIkpc8LsiO8eLrJW7mZGrFRUV6NmzJ45+sRzPjO3K\nNV8CVabU2+gXipCMFhEbzYQaIraoJR8zM9IQ5ixueRp8QkICdn2wGItuy+Aet9AX4PozgehmTMnh\nwm6puWZbUVGR8u+6LvZCQTYXfzO9P26XvsY30/tj9rD2lkzN0M+D7m+3w4bZw9prTNG0JB/Tb4wI\nUFbpWlbkty8Qwvw132Py5Mma7ermJgDw17/+FXf1aY+vs/phz4wb0MX7PjLqRop2Z+d40X3OJ7hi\nxlq8ktcEyR21QYIsrrziSkVYZ+d4ceMLm5H5zm/KeM82Cltvpk+Jd8Bp10aM6zHze7NYunAyvs7q\nj5/nD9GU2RXUboRJXHBe4DXdkANtCuq0xPWLNiG30IfL6sRhUPIxjOzSBAMZL5qEhASldKaVjljW\nAsiim3tj7ZF8+eWXK+df+MkB5BaZ10hnjYdnjtd+txzNs1YjUQrA9v1qvP3kRCQnJwMAmhTm4JSt\nLYijqrIbgbZ/8WOPPQaHoypd7NH/bkLYlcztme0kISS6HSjwUaR63IgvPIxfQ8mosMUbtDn5v1u3\nbsWO/FLM++wXTcCa7Bbgzf+xogocb3W7kgp35MgRzJgxAw8//DBsNpvSOlS5t6UFaHQSaNmyJbJz\nvJi2fFckpZAQ2JIaYM4nhxEfn2AaRKd2VbA+c9rZAXVWu7ABQMfkCtT75nkcK01AQcZopfIerwCK\n1YBLGdk8Lri4EBq24LwQLW9UrX0fO+PH2tP1UFqPXxNZrs4VS+S4WQBZXRdBcXGx6TXwgoy8hT6u\nZiTT1eE1NDVxO2xRc5K1wUV8KIAzYQdK2g7Dj/5IpbJwOIzgoc0Y0elyjRedAlix3auMV107OzMj\nDW+PbYGf5w/BM7d1gtOm1dDdDhsm92+G7bNuVrS321pSbJjUy1Sbu+aaa/DW7mKuoONaEggBjU9R\nGqMMeHELGjy4FL0XblRpu7urFlIJdXGqxSBFiOvz//VaqdmCj/cZz22gf+Z4jXAAoEWLFliyZAmc\n3W7VlMlljRHgLwoTpUDU51Zw8SAEtmkSe4IAAB6YSURBVOC8wOuElOpxM7VvKjmUKG4zYo2IZZrH\nKUXo151ISqoKeDt69Cg2btyo+RpLeMriwFvow5Rlu5Dxt08NL+iKigqkBrz42y1tDeb+ezKSEGYI\ncn1E8NdZ/fD8mM5RTdZBKikv+/Lycixbtgzf5ZYb/Nj66G+1MJH7iGdmpGH2kCsh+Qo1Y753QGfN\nse68806kpqYCMBdSrDS4yHZfVLeFLxDCW1uOIhBXB4RIyCuqwPSVezD7g30GU3ogTFRBf+zzsf6t\n/06saVDqZ069kOCZzRMTE+Ej7MIr+nPzIsfnjO6ueW4FFzfCJC44L6Sf2Y3T9ragkjGS92zyRqcM\nam0okmIWEZuZkYZtRwu0dZoJwZmGndD5iU9R5AsgyR5C3tr/Q072K8z9eUVcAmHKzWGWTfjj+7TT\n7PPSVysxvFEydgRTogYw6aOSecFo8rzJnaR486iO/ubVoR53bSs0CR9D7969OWcDnM7IaixafWuz\nLAArbgt9spUvEOK6CuS5ZB0r2e1Qoq15Zn9Z+LL2T3LZEAhp69W77BKmDGqNvLw8rFu3Dk/udqHC\nrq25zjKb88YoVZr6WW4dUW700kVo2ILzwuA29fDsGHZA2dnkjUa03qsQPnMKAD//VZ3Xu/HASYOw\nU5e2LArakND3Xnx3gn9eK4sJK/2Lb731Vrw0+U4lJ1k2KVNKcezYMcP31fnLPDN5sltrZm+UHL2z\nmNlYzYS1GjPz8qeffooT616FRIOaz/XpV2Zui1iQBZqh1KtEUOoPKpovS1jHSZGFIGt/O8JoVZyD\n2UOurCoz6gjjlkYlyMxIg8PhgN/vR4Ut3nBcwPjcPNw3HS678TUcotSgkavvvQgkuzQRGrbgvHDf\nffcBgKYBhkws+dUsRnVrhq/e3omFcxYqdbJlDaqum8B5cC3GXNNC6ZZlRdhSyYFH39ulqQ6mfkEm\nO8IoDERf76rPZZYKpG4B6ablCO5YibeefFgJXGMxZVBrTFm2y1AUptQf1Ghng1Mr8O9T5k0qgCpf\nfHU1NzPz8u7d+7Fz1b+xu6iqwlk9t4TRreOYtdH1zwOvTzivlao+l12e8zJ/kFnURa5idnmyE0Ob\nhJV9tx0twDtbf0WIUtgIwdhr0jE38xYAwJgeVZHkCz85gOZZqyvv601IO2Wtul/7RB8Svl8FX6ub\nQSTt4iDWQDbBxY8Q2IILTqzmPpbgmzVrlqaphfwCz/dRILUPmvTqquxvtbSlmcm4nvcrlDTsjWAU\nI5Vs2gS0Hab00chZK3crfvwy4oKj2zh8kOvGpMqFR6NkF4Y0CaFdQilGjBihjOWJD/cZBFAgRDUv\n+mNbP8It6VdjZ9iD3MJyEABar28VVts0su6BWRT95MmTFcGWWxTprJa/9QM8OOU/hu+zngdWBy23\nw4ZZt7Q3fFcfpa6+juZZq5nXE6bU0MktO8eLFdu9ynMQohQrtnvRrVndKFHmuzGqa2PmeNXtMZUx\nXz0axIK/XXTgEtRI4RRCyGQAiwA0oJSeIpGOBC8AuBlAGYC7KKU7oh1HFE4RRKMmGoRUt7WlfIxw\nOIzNmzfjZHy68gIlQR9CxA5iM0Z9ux02uBwSU7Mza9Zg0CqDFZgzrB3+eH0bZVP6tI8iNVIZ+8oC\n6MCBA2jTpmqfUY/Mx3fkCkttIVnw7sGormlMISW3xFQvSoCI6Xnh6M6K0JHfRYRxPfJ5qyuwjh8/\njvz8fNz7wTH2Yq20AKv+p6OmOIqVZ4n3nWR7CI/fchVe2HjEMF7W/PEsCLG05xTUXs5b8w9CSBMA\nAwD8otp8E4ArKv93DYCXK/8rEJwVNdEgRK/Byc1BDPXGOceQJAm9evVSjlVaWooePXrgT0/9G899\nk2/wi0YLjuJhGI3diX99k6sI7CVLliB4pgL2JGNJUnWtcLWwBoDj336EBx6ag1WHadS8dJaQ5N2D\njQdOYt7IDpi5fBuKQzakeeI1fan1mQD+MDBx6U4sWLMfXey/Ien0QTz11FPc+TBrcKInO8eL+Wu+\nx7HiCtgrzoDuWoVtK17GlEHJTMH31F190Lx5srKNUnpWUeZFAQln9m7EF1PuUqqyybDmj8IotNUa\nuZV6A4KLn5owiT8HYCqAVaptwwG8QSNL5i2EEA8hpBGlNK8Gzie4BNEUx2CgbhBixXeof/mrBRMh\nkTrh0Y4hU1BQgE2bNqFu3bp45mu2yZWHWTQyC/k6/X4/4uPjsegPV2Pm6h8Q0OUbl5Rr/dgypaWl\nePPNN9G8eXNMBdD1iY8jbgMdEiGYkb1HozHL5nKzxUdmRhququNDUlKSpra52cIkr7gCHwWS8MTQ\nOwzadXW06uwcL7JW7EZ5MAyAIOhMgrPnndh0pCyq++Wnn37C66+/jtmzZ1t6lnjfSUmIw4QJE5jj\n480FpRSNkl04VlxhGFeshVMEFydnFSVOCBkGwEsp3aX7KA3Ar6q/f6vcJhDEjLoUJA91gxArncH0\nqCNwMyr2RM2NVtOkSROlIQRPqDsRBEJ+5jHNuj7pkSPA4+LikJmZiXHXtkJCnHHdHQhTZp51QkIC\nmjevKmXaLnDIUNAFiPhr397yC1Ors3FM1vK1t2rVytCIJFrEP3E48epWbVg+qwTotBW78MraHJw8\neZJ7rEVrD1YK6yoqQhQTl+5Er/nrcfToEczMCCjR1gDQ86l1SJ/2EW545gsEUjvDZrOxo8RJWPMc\nTBnUGg6bcT7kBRML3lzEhUrRv+xz7HrsOkMUuOjAJQAsCGxCyGeEkL2M/w0H8DiAmazdGNuY9kZC\nyH2EkG2EkG1mP0LBpQuzY5UKvTB1qtJkEh0EfRJyMbxzqqVz+Xw+nNm7AVn9mprWNJfRFwrpnuYC\nDVQYxtfPk4+nRlzFPCarBeQdPZrCIRl/RnIEuJpCn9/wPSAidKPVuj6zdwMe7FmfKYR5DoIQpUDQ\neI1miyIrLTH12iLrvlcEKZ5Z96PBzGx2HDXewnI8+9VxHHNGshXk8qV5xX6AENiTGmJVbrxinVDf\nl/puCWm5mwy17XkLpqc+2sscA0vIO2wEC+/ojblz5zILoUwZ1No0JU5waRDVJE4pvZG1nRDSAUBz\nALsqzViNAewghFyNiEatzt9pDCCXc/xXALwCRILOYhm84NLA7AUcFyjBvDG9ucE8xWU+dOzZgRvI\npMfv92P16tVYvfcEsMc8h5oVIXyy2Ieb29bF7lNhjcl1WKeBkCQJt197heE4Z86cQdf6YUOQ1+rd\neVEjwE+dOoVwST6kxPqmY2X5OymleP7555Geno5/bLNuyr+8ThyanzmIXzyduN2ggsEgwuGw0uLU\nSmEUvbbIu+9+e4KmRSbrOGbWGGJ34pUtxzC+TztO+dKwMld6E7qj9WAs/+6ophNYEadU6YmSAFas\nWIGRI0canz9D/xTzV19mRhpeefUV5Kf2womSgIgSv0SptkmcUrqHUtqQUppOKU1HREh3oZQeA/AB\ngDtJhB4AioT/WlBdeGa/NI8b79zeyrR3tORw4a3dZ5S/z5w5g/3793PPlZycjNV7T3A7i6lhnc8f\nBnafChsKXEgS/6fmcDgwduxYBALaF38hI6oc0AqyN954A7deGQeXI/pP2VtZt12GEIL09HQAJqZV\nRieuyQOuwJJ5kzBlUBuketzILfRh0dqDyrEppZg4caJBSJmVWGVpi7wxSYQwS5/KxKLNR/MN683y\necUV+OsH+zXnNauD/uyPKVi1U6urLFp70BDgGAwDT7yfYyq4X5t5P7bOGCgKp1zCnKtKZx8DOAzg\nEIBXAfzlHJ1HcAlg5pfu2rUqv5r38vUW+tA8azXaZa1Ah6H3KI1DeJh1FlNT3UAgvRn9k/35+L4k\nHp1mrFK2/XvdLoRKTjH3V0eAP/LII3j2oXGYP7JjVSvLMN99wDONTxnUmmnmTinYi8sSHRoz/q1X\np2PVzlyDf1mppT59NT6SrolYKSpZunSpIoxYLgCWy4EneKOZ+q00TJGFbDTfMC86e/7H30cdJzhj\n5D0fpyuA2bNno7ycXXPdrIiO4NKgRvKwawqRhy3gURUlXobLEh2YPuQqwwuelxOrxk7CePq2Lqba\nSfOs1Uz/rTq32ex8+hxmdaQzK4XMIRH4A35NDrcdYXTx+JFT7DZoYw6JYNHoTsxreO2117Aj34bP\nihsaFh288QFAXl4eZrySjQPO1oopf/LAK3H1ZQTfnTBGVZvX/I4g5wk7cnfiiSeewLfffmv6fRbq\nuePV/XaHy7BkXCtkZBj7jkfLX472Oe9ZoDSMGa2OYcKECZAkKWoWQ2qyC99Mj/TitvrcCC4drOZh\nC4EtqFUEg0H4fD5NS0gZqwVR5DKUPD8gL9WJJYj159MXA6lukRb5fKUVQWY7R97LPRwOKwJkIqep\niry/+tqDwSDsdmNIC0+gWb0eiQChcBjOYBkW/qG3Ya5jSduyupBiXYPZOXifZ+d48eh7u5iLhIaJ\ndqy8qz0uu+wyOBxVCy2+gKe4M24rpk2bhs9+LOIuEgDR4ONS5LwVThEIzid2u50prAHr3ayidalq\neGwLTtfpirBU9fPgReQ67ZLy4k1ySujtztMcK1qEuxlmpnVW72X9iz7ZHkRRkP0T1187S1jzxi+n\ndrEEmZ4wBQiR4HckGuY6WncvPVZz7PWwcu7lWvPyXOkXP/LYmBq9w4bHhlyFxo2tj7FBvA0db7oH\ng/7+LXILfUh2O+BySCgsC6BRsgtTB0eK28QyH4JLD9GtS3BRYaWblRq9bzoYDOLeAZ3xzFh2ZzEZ\n+YWu1n4DYYIBAwdqjn82hS0aeVyw+88wPzP2Xtb6k7NW7EZ84WHEmcReWekmZtaaU5+rHg39+XiL\ngYWfHGDuz/MVl1bwc571sObKakAhAEigpuVAefEWgzs1xswPDyrnLfQFUFTiQ4sTX2D9xGuRmZFm\nWs1MIACEwBZcxFiJFga0Qslut2PkyJEY0aWxaStD3sv16U9/0GyzUtjCIRFDXq7bYUO/eiW43lMI\nJ+MztbbPGkt5MAypcScsvLVz5cKFrQ1HW1Dwxl/fLUHa9i4uqxMJSPO4HcwCImbnMwvaY/m75WCy\nlHhtvfZCXwCTl+7A89lfIxQyt2ZYFYr8hQqw/rX5OHOGvZDiBdRtPHDScN6wZEdZqwFwu92m5xTV\nzAQywiQuuGgxmMhpGCDGNWp1qkVZeblm53hR5g8avuOwESTE2VHkCyB05hTm/LE3XE5XlNabfL+m\n2VgyM9JwU7v6aD35PSDBmLsc7dqnDGqNSUu+A1UFxLkdNgxpGsKdr81Hy5YtNdcbLUDMSllPSSLY\nc8aFqxnjkTVRfX56EBKeWfcjfvvqfcycOZNZfAQwySQ4XYaioiIkJyebjq1xSjxeWvCS4XpTPW48\neENTOI/twbBhwwwLvEmceIJjxVWR+SkuoIBhtBDVzAQyQmALLmpk/+WuXbuw8N0N2G5roylbWd1q\nUdH8qbxgM1uoHIvG9FBe6J9//jmaN7KjWTN+YwuzphfZOd6owvGf//wnWlecwpHkXqgIVn2Pd+1a\nQeSCw7sdKe2u0xTsGN45lZlnbRZspz8fq+81EPF7P/15LurVrce8bp7QtddpgKfnP838TD0nrPuW\nQPx47733cM899yhlSc3Gz/K/T1u+C7dfKWEEowqbFf+76+BakMb9DIsjUc1MICMEtuCSoGPHjni7\nU6ca6ynMeqGTcABTBnUGwPeBNkxJ1pRJ7dOnT9QqVzJ79uyB2+1Gq1atAJgHRjltRHnR33bbbZiU\nlmbp2o2CqBzO5j0xfUj7mCK8rfQ4l//NisQ260TF1cwre4+b3U+eIH5y5DVKZLg8ZnVgmH78rPtL\nHC58cZqtDUdbAOTl5eH+m7sjsX03PP3pDyJKXMBEpHUJBNVE/XJv5HGhQ/hnPHHPUFx++eXVTkFS\nc/jwYaSnpytV0oqLi9GmTRusXLkSPXr04ObzSgQY34Zg1vibY76mWHLLa6o/c6xzZZYq53JI+Nst\nbXBzuwZwu93MmuNmaVz649poEJ0C3+PNOQ8hISGh2mM2O69AINK6BIJzDMtULS+Aq5uCpOb48ePI\nysrCG2+8AZfLhaSkJFx29VCMfuMAbNmnwOvpRSliFtZW25fK8IK3FqzZb0kIWfF3u8I+5Ofno169\neprtZpp5eSCMR17/HL+2LMDEiROZ5+MJS9Y1hYgdefW7a4Q1UL37G0s/b4GAhRDYAkENIvt1o5lA\nrdC9e3dsOFSM9tNXIuxMhifegcI2t8AWJblDn/KlF1SA1lTdt00DTd/raMcETALdinz417/+hXvv\nvZfbUUuvyfJyneeN7GkQ1jKZGWncQC5HUkM8+ujd3PPx8pt516QODJOpifsrEMSKENgCQQ2hF46j\nuqZh44GTyC30wRX24anMa6JqWHofap0b/4KQFBF8kchoc2HtckimgVFTlu8CKJRyp95CH97e8gu3\nyAwAuOySQRDxNMw0Tzz+/Oc/m46Rm+NMItYBq+Ziq75ss1Qufc9pq1qzFR+9QFDTCIEtENQALOG4\nYrtX8emGQiFDcJlewOs13UJfAJCi55EDEeO4K+zD3VfVNRVUgZBRNJsJa48jhJvSKpiNOQxBdwBy\ni8rRa/4GU+HFzXEOh3FP/A5kTcqC0+k0GRV/DEBEY89asQsFBfkY1a2Z5fzmWLVmYeIWnG+EwBYI\nagCzql2ZGWkG8zBLwEfTdHnIAWGUUpw8eVLZfrYFN+TjVlQYTcL6/tYEVYLfW+hD1srdmu+p4Wmy\njZJceODPD3B7l8ttUdu2bas5NtOXHaRY+MlBjL66uWXNWWjNgt87otKZQFADmGlx77zzDsJhbecs\nloCvjrBWa4CEEDRs2FD5LJYAN72IdBCqHJen7cplYNM8bsPYywNhTH93Mw4fPmzYj1e+M+vmdqhX\nrx7i4uIAaNuQtp26HEMf+JuS0qYeQ5iT6VJhi0edOnVM27Pyrkn0nBb8HhECWyA4C2ShwhO2KU6g\nVatW8Pm0Ar262q/DRuBxO0z7SMuwBBUJh+CQiG5bAHf0aKqU00wkfjQ78bVlYcW7Fh9xoaCgwOAK\nsNIPOzvHi6yVu5Xa2z7JDenqOzQ9tmWi9bTWny9UfBJ/HdxCCGNBrUOYxAWCahKtdabbYcOsER3Q\nPQazsNq0DAB2CajjcjCLd0RDb+JtlOxCk9M7MGLYSLz0+VElf7x94DdM698fczM7KPt+9VUDUEq5\n5mkr15LmiUe3blFTS5ksWnvQ0M87QAmzmIoV37Pa37xhwwakxJdWa1wCwYVECGyBoJqYtc7U95sG\ntEFmnngHHBJRorWBSJGOcT1bKJHl9dwE93RrgL8M6V7tMRoDo/ojFAphbI+Wmm16Lbh3796Wz9G3\nTQO8teUX5nYWVtKsYmmEEavvuV+/fparywkEvyeEwBYIqglPqFAaRt+SDRjUpqeyTS+kTpcFFPN2\nkS+AVI8LvZNOa7TcmsJK0RArmjSPjQdOMrev+vYQHrk+DXXrapuOWEmz4mntlyXFIRgMGvp3xxqx\nfTbXKxBcKITAFgiqCb+jUwLmZs3VbOOlWNkRqvFSluFwWClnarVoyNnAW7icCTmwfv16jBw5UhMl\nb0V7ZqdsUZDcvbDbB9TIuAWC2oYIOhMIqkks0cc8IXWqLIQdO3YYtsuCVg668hb6MGnJd7juD5Mw\nefJkFBQUcMc1d+5c5OfnAzDXZtVR2L3mb0B2jlc5N2s7D17Qlyc+DqNHjzaktEULEgMii4lRXdN0\n0esEBcmto45HILhYEQJbIKgmVqKdZXhCKi0lHl26dDFsZ6Z92Rw4ldYLM2bMMJiZ1dSpUwfdRt2P\nq+d8wq0NLmva6gXB9JV7MCN7D3O7mZCcMqi1IfIcAEr9QeZ+rIUOgn5MHnilZtPGAycN0fcVIYpF\naw9yxyIQXMwIk7hAcBZY9Z3GWkWLp5GXEzc8Ho/pueLb3YDQb01xopRfG9xGCFPzfmfrr9xWlwA7\nsCszIw1PfLivsnRqFYEQxdwPdxvmhxUk1jOhBFfEFQJoHHUOzrYgjEBQWxEatkBwHohFGwesmY15\nvJFTCMnh4n7utLG7YwHsRhwAXyOXNehCnbCWOVUawuLFiw2FY/T07t0b7du312w7mzkQCC5GhMAW\nCM4TsVTRisU/rsdMA/U4wuibkIs0jtCzcaKneRq5rHmbmfwnTJigBMEBbP/89JV7sGpnrmbfs5kD\ngeBiRAhsgeB3SKwauRqu8PS4sXPOLVjwv6OZwtBGQxh3TRPDdpdD4mre8uIgFuFqFgin5mzmQCC4\nGBE+bIHgd0p1u0FF85cnJycjMyMZgNqP7ML1KcWYm9kB3ZrVVbYn2gLIbCZhw6lE0wYasRQvibUo\nihDQAkEEIbAFgosMq8KTJwz128vKytD14GnDIsBGQ9zyn2Zwu3UlR2+pKRBcygiBLRBchNSkZvrp\nwdOKGdtGIgFraR4X+tUvxfDOqcr3rBZ6YfbSDvnREcdqZLwCwcWKENgCgYCLvlJaiNJK83obQ510\nqxXVWBaAyQM7oe6Znyw3HBEILkXI76kIfrdu3ei2bdsu9DAEAkElveZvYPuuk134Znr/qN9L87jx\ndVa/czpGgaC2QwjZTimN2tpORIkLBAIuvAAxb6EPy5YtU7peiSInAsG5RwhsgUDAhV+8xIXRo0cr\n5mtR5EQgOPcIgS0QCLjw8qunDW5r6XuiyIlAUHOIoDOBQMAllhQx+XvewjJ4HGHMHtlZ5FALBDWI\nCDoTCAQ1CqUUXq8XjRs3jv5lgUAggs4EAsGFgRAihLVAcA4QAlsgEAgEglqAENgCgUAgENQChMAW\nCAQCgaAWIAS2QCAQCAS1ACGwBQKBQCCoBQiBLRAIBAJBLUAIbIFAIBAIagFCYAsEAoFAUAsQAlsg\nEAgEglqAENgCgUAgENQChMAWCAQCgaAWIAS2QCAQCAS1ACGwBQKBQCCoBQiBLRAIBAJBLeB31Q+b\nEHISwNELPY4apD6AUxd6EBchYl7PDWJezw1iXmuei21Om1FKG0T70u9KYF9sEEK2WWlKLogNMa/n\nBjGv5wYxrzXPpTqnwiQuEAgEAkEtQAhsgUAgEAhqAUJgn1teudADuEgR83puEPN6bhDzWvNcknMq\nfNgCgUAgENQChIYtEAgEAkEtQAhsgUAgEAhqAUJgn0MIIZMJIZQQUr/yb0IIeZEQcogQspsQ0uVC\nj7E2QQhZRAg5UDl37xNCPKrPplfO60FCyKALOc7aBiFkcOW8HSKEZF3o8dRWCCFNCCEbCSH7CSH7\nCCEPV26vSwhZRwj5sfK/KRd6rLURQoiNEJJDCPmo8u/mhJCtlfO6lBASd6HHeK4RAvscQQhpAmAA\ngF9Um28CcEXl/+4D8PIFGFptZh2AqyilHQH8AGA6ABBC2gEYC6A9gMEA/kkIsV2wUdYiKufpH4g8\nm+0AjKucT0HsBAE8SiltC6AHgP+tnMssAOsppVcAWF/5tyB2HgawX/X3AgDPVc7raQATLsioziNC\nYJ87ngMwFYA6qm84gDdohC0APISQRhdkdLUQSumnlNJg5Z9bADSu/PdwAO9SSisopT8DOATg6gsx\nxlrI1QAOUUoPU0r9AN5FZD4FMUIpzaOU7qj89xlEhEsaIvP538qv/RdA5oUZYe2FENIYwBAA/678\nmwDoB2B55VcuiXkVAvscQAgZBsBLKd2l+ygNwK+qv3+r3CaInXsArKn8t5jX6iPm7hxACEkHkAFg\nK4DLKKV5QESoA2h44UZWa3keEQUoXPl3PQCFqgX8JfHc2i/0AGorhJDPAFzO+OhxAI8BGMjajbFN\n5NWpMJtXSumqyu88joj58W15N8b3xbxaQ8xdDUMISQSwAsBESmlxRBkUVBdCyFAAJyil2wkhfeTN\njK9e9M+tENjVhFJ6I2s7IaQDgOYAdlX+UBsD2EEIuRqRVWAT1dcbA8g9x0OtVfDmVYYQMh7AUAD9\naVURATGv1UfMXQ1CCHEgIqzfppSurNx8nBDSiFKaV+kCO3HhRlgr6QVgGCHkZgAuAEmIaNweQoi9\nUsu+JJ5bYRKvYSileyilDSml6ZTSdEReiF0opccAfADgzspo8R4AimRTmSA6hJDBAKYBGEYpLVN9\n9AGAsYQQJyGkOSJBfd9eiDHWQr4DcEVlxG0cIsF7H1zgMdVKKv2qiwHsp5Q+q/roAwDjK/89HsCq\n8z222gyldDqltHHl+3QsgA2U0jsAbARwa+XXLol5FRr2+eVjADcjEhRVBuDuCzucWsffATgBrKu0\nXmyhlP6ZUrqPEPIegO8RMZX/L6U0dAHHWWuglAYJIQ8AWAvABuA1Sum+Czys2kovAH8EsIcQsrNy\n22MA5gN4jxAyAZGskdEXaHwXG9MAvEsImQsgB5HF0kWNKE0qEAgEAkEtQJjEBQKBQCCoBQiBLRAI\nBAJBLUAIbIFAIBAIagFCYAsEAoFAUAsQAlsgEAgEglqAENgCgUAgENQChMAWCAQCgaAW8P/vw+CJ\n1b4CSgAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x11ea86810>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib\n",
-    "from matplotlib import pyplot as plt\n",
-    "%matplotlib inline\n",
-    "import numpy as np\n",
-    "\n",
-    "# Plot the position and orientation of each cell\n",
-    "plt.figure(figsize=(8,8))\n",
-    "plt.plot(pos[:,0], pos[:,1], 'o')\n",
-    "plt.quiver(pos[:,0], pos[:,1], norm[:,0], norm[:,1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([  32.,   89.,  137.,  209.,  249.,  312.,  339.,  381.,  402.,  182.]),\n",
-       " array([  0.23257172,   5.17148305,  10.11039438,  15.04930571,\n",
-       "         19.98821704,  24.92712837,  29.86603971,  34.80495104,\n",
-       "         39.74386237,  44.6827737 ,  49.62168503]),\n",
-       " <a list of 10 Patch objects>)"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x11e2a3790>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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MjP6zwAWHtG0EbqmqtcAtbR/gQgY3BF8LbACuXZwyJUnzNWvQV9U3gEcPaV4PbG3bW4GL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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1239dea90>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot histograms of some cell properties\n",
-    "\n",
-    "# Length\n",
-    "plt.figure(figsize=(5,3.5))\n",
-    "plt.title('Cell length')\n",
-    "plt.hist(lengths, edgecolor='black', color='gray')\n",
-    "plt.xlabel('um')\n",
-    "plt.ylabel('Count (N=%d)'%(len(cs)))\n",
-    "plt.savefig('lengthhist.pdf', density=600)\n",
-    "\n",
-    "# Distance from origin\n",
-    "plt.figure()\n",
-    "plt.title('Position')\n",
-    "plt.hist(np.sqrt(pos[:,0]**2+pos[:,1]**2))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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EsDXwWNPxMuDtzQGS5gJzAbbZsMO1Mauhflwlut369jHgoNh3bwHArpsp2sSb9bR+nMew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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x11ebae5d0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Compute the cell density in regular bins as a weighted 2d histogram\n",
-    "\n",
-    "fig = plt.figure(figsize=(4,4))\n",
-    "plt.title('Colony density')\n",
-    "H, xedges, yedges = np.histogram2d(pos[:,0], pos[:,1], weights=lengths, bins=16)\n",
-    "plt.imshow(H, interpolation='nearest', origin='low', extent=[xedges[0], xedges[-1], yedges[0], yedges[-1]], cmap='jet')\n",
-    "plt.colorbar()\n",
-    "plt.savefig('density.pdf', dpi=600)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-0.0871351 0.0297918\n"
-     ]
-    }
-   ],
-   "source": [
-    "# We can also examine the details of the running simulation,\n",
-    "# e.g. the residual overlaps between cells (error)\n",
-    "\n",
-    "# Get the physics solver\n",
-    "phys = sim.phys\n",
-    "# Update the contact information\n",
-    "phys.find_contacts()\n",
-    "# Overlap per cell\n",
-    "d = 0.5*phys.ct_dists_dev[0:phys.n_cells,:].get()\n",
-    "\n",
-    "# Min and max of overlap\n",
-    "print np.min(d.ravel()), np.max(d.ravel())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "(id, cell) = cs.items()[0]\n",
-    "cell."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lineage = data['lineage']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "phys.updateCellNeighbours(sim.idxToId)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[2038, 1084, 1904, 2868, 2164, 2012, 1386]\n",
-      "[1356, 3490, 1368, 3086, 3574]\n",
-      "[1116, 1864, 2638]\n",
-      "[3930, 973, 2444, 4040, 1800, 3514]\n",
-      "[3682, 2468, 876, 4052, 3890]\n",
-      "[1086, 885, 4266]\n",
-      "[1930, 2988, 2872, 4436, 2484, 3064, 2234]\n",
-      "[2490, 3962, 3052, 3242]\n",
-      "[2468, 2870, 837, 3890, 2724, 2942]\n",
-      "[3408, 1086, 1856, 839]\n",
-      "[3450, 1186, 2870, 3890]\n",
-      "[2982, 2300, 1828, 3868, 3888]\n",
-      "[1150, 1746, 3774, 4456, 3814]\n",
-      "[1942, 3484, 3680, 1424, 2282]\n",
-      "[2358, 3380, 3776, 3160, 4380, 2788]\n",
-      "[1176, 4050, 2922]\n",
-      "[2198, 3482, 4498, 1656, 2674]\n",
-      "[1176, 1150, 1644, 1450, 3814, 3306]\n",
-      "[1336, 2014, 2664, 4204]\n",
-      "[2490, 4248, 1972]\n",
-      "[2530, 2088, 1118, 4054, 1698]\n",
-      "[1258, 3266, 2878, 2222, 2470]\n",
-      "[2760, 2370, 1392, 3334, 3726, 3536, 1354]\n",
-      "[4392, 1066, 3980, 2682, 3410]\n",
-      "[1896, 3212, 2514, 4334, 1768]\n",
-      "[1160, 836, 4040, 2444, 2816]\n",
-      "[3746, 3290, 2282, 1424, 3862]\n",
-      "[1728, 2190, 1928, 3598, 4612, 1394]\n",
-      "[]\n",
-      "[4230, 3432, 2380, 2762, 3544, 1534]\n",
-      "[]\n",
-      "[955, 3410, 1990, 3786, 1832, 3472]\n",
-      "[]\n",
-      "[784, 2664, 2014, 2038, 2868]\n",
-      "[3408, 1190, 885, 3244, 839, 4266]\n",
-      "[]\n",
-      "[1782, 3578, 4226, 4206, 1838, 3168]\n",
-      "[2516, 3804, 4342, 797]\n",
-      "[4524, 1160, 952, 2256, 4054, 1698]\n",
-      "[]\n",
-      "[1812, 3060, 2936, 2350, 1702]\n",
-      "[]\n",
-      "[]\n",
-      "[1746, 916, 1644, 3120, 930, 3814, 1396]\n",
-      "[]\n",
-      "[3904, 3978, 1858, 1678, 1710, 3558, 2094]\n",
-      "[2358, 2740, 3400, 2604]\n",
-      "[]\n",
-      "[4524, 1118, 1698, 973]\n",
-      "[]\n",
-      "[4050, 930, 3814, 928, 3306]\n",
-      "[3592, 3450, 3336, 897, 2458]\n",
-      "[]\n",
-      "[3670, 1698, 2444]\n",
-      "[]\n",
-      "[1086, 3244, 4372, 4178, 4266]\n",
-      "[4092, 3142, 3578, 3192, 3484, 3680]\n",
-      "[]\n",
-      "[1862, 2916, 4124, 4324, 3026, 4566, 2340, 4260]\n",
-      "[]\n",
-      "[]\n",
-      "[1834, 3314, 2196, 1696, 3148]\n",
-      "[]\n",
-      "[]\n",
-      "[4324, 3354, 2294, 4124, 2502]\n",
-      "[2740, 2470, 3266, 953, 2146, 2604]\n",
-      "[]\n",
-      "[3668, 1432, 1534, 2380, 4342]\n",
-      "[]\n",
-      "[]\n",
-      "[1618, 2058, 2092, 3022, 3506, 2118]\n",
-      "[]\n",
-      "[1784, 1472, 1402, 4492, 2590]\n",
-      "[2982, 2254, 3020, 1830, 1874, 2914]\n",
-      "[3904, 1492, 2316, 4572, 2036, 3304]\n",
-      "[2402, 2340, 3508, 3244, 1956, 3408]\n",
-      "[]\n",
-      "[]\n",
-      "[3214, 1542, 3810, 4268]\n",
-      "[]\n",
-      "[4052, 3682, 4554, 1714]\n",
-      "[]\n",
-      "[1784, 3576, 4304, 3962]\n",
-      "[4380, 1494, 2470, 2788, 2996, 3298]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2092, 2512, 931, 4204]\n",
-      "[]\n",
-      "[1392, 954, 3726, 2816, 4040, 4126]\n",
-      "[]\n",
-      "[3128, 2350, 2018, 3490, 796, 3574]\n",
-      "[]\n",
-      "[3140, 3598, 2870, 796, 3086, 3574, 2724]\n",
-      "[784, 1530, 3382, 1924, 2164, 4458, 2012, 1786]\n",
-      "[]\n",
-      "[1420, 4046, 2068, 1634, 3382]\n",
-      "[3186, 954, 4232, 1354, 4126]\n",
-      "[1012, 3598, 4612, 2724, 2778, 4376]\n",
-      "[]\n",
-      "[1150, 1746, 3120, 1492, 2316, 1748, 2094]\n",
-      "[]\n",
-      "[3404, 1472, 1894, 3110, 1266, 2590]\n",
-      "[]\n",
-      "[]\n",
-      "[2610, 3214, 4268, 3756]\n",
-      "[2068, 4334, 1388, 1768, 2730, 3410, 3702]\n",
-      "[]\n",
-      "[]\n",
-      "[980, 3484, 3290, 2318, 2282, 917]\n",
-      "[]\n",
-      "[1260, 3668, 2894, 3804, 4342]\n",
-      "[]\n",
-      "[]\n",
-      "[2666, 3220, 1554, 3168, 4226, 1710, 3558]\n",
-      "[]\n",
-      "[]\n",
-      "[2292, 3210, 1998, 2382, 3850, 2138]\n",
-      "[2862, 1644, 930, 3306, 2238]\n",
-      "[]\n",
-      "[1608, 3182, 1894, 3006, 1402, 1266, 4492]\n",
-      "[2732, 2192, 4418, 2202, 3710, 2914]\n",
-      "[1396, 3024, 1272, 4572, 2316, 1748]\n",
-      "[1318, 4380, 2996]\n",
-      "[]\n",
-      "[2862, 2238, 2518, 2116, 3630]\n",
-      "[]\n",
-      "[1862, 3354, 4124, 1556, 4494]\n",
-      "[]\n",
-      "[]\n",
-      "[1386, 3060, 1786, 3382, 3840, 2936, 2662]\n",
-      "[]\n",
-      "[1260, 4230, 2380, 1036]\n",
-      "[4240, 4600, 1636, 3240, 4192, 2146]\n",
-      "[]\n",
-      "[2354, 1312, 3810, 4268, 1700, 2220]\n",
-      "[]\n",
-      "[]\n",
-      "[2288, 1436, 3220, 1936, 3168]\n",
-      "[]\n",
-      "[3354, 1514, 2800, 4494, 4302, 2116, 3430]\n",
-      "[]\n",
-      "[]\n",
-      "[3024, 2294, 3622, 3616, 1748]\n",
-      "[]\n",
-      "[2564, 3414, 2986, 3766, 3782, 3206]\n",
-      "[]\n",
-      "[1788, 4072, 2640, 1938, 3850]\n",
-      "[]\n",
-      "[]\n",
-      "[3932, 2942, 4376, 4606]\n",
-      "[]\n",
-      "[3006, 2292, 1472, 4492, 2566]\n",
-      "[]\n",
-      "[]\n",
-      "[2058, 3316, 2014, 3278, 2038, 3022, 3090]\n",
-      "[3506, 1264, 4264, 2058, 3262, 3212]\n",
-      "[]\n",
-      "[1930, 2090, 2988, 2196, 3148]\n",
-      "[]\n",
-      "[2730, 1388, 3382, 3840]\n",
-      "[]\n",
-      "[3400, 2240, 3240, 2146, 2604, 1538]\n",
-      "[]\n",
-      "[3792, 2738, 1830, 2202, 3782, 2460]\n",
-      "[]\n",
-      "[1150, 3120, 930, 1866, 1450]\n",
-      "[]\n",
-      "[2658, 1896, 2314, 2514, 3444]\n",
-      "[]\n",
-      "[3482, 3742, 929]\n",
-      "[]\n",
-      "[3118, 3904, 1156, 2360, 3558, 1958, 2036]\n",
-      "[]\n",
-      "[]\n",
-      "[1834, 3314, 1234, 3810]\n",
-      "[]\n",
-      "[1160, 1188, 952, 1118, 2444]\n",
-      "[1846, 1834, 2354, 1542, 4080, 3810]\n",
-      "[3338, 4388, 1812, 1134, 4630]\n",
-      "[]\n",
-      "[2666, 1436, 1156, 3978, 3558]\n",
-      "[]\n",
-      "[]\n",
-      "[1314, 4554, 2762]\n",
-      "[2738, 3414, 3024, 4572, 2032, 3304]\n",
-      "[3314, 2196]\n",
-      "[]\n",
-      "[3332, 1928, 3790, 2864, 4612, 1012, 4640]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1150, 1396, 1926, 3618, 3774, 916, 1858, 2094]\n",
-      "[]\n",
-      "[1396, 3024, 3120, 3616, 1568, 1492]\n",
-      "[]\n",
-      "[]\n",
-      "[1420, 3702, 2514, 960, 4334, 3376]\n",
-      "[]\n",
-      "[]\n",
-      "[4392, 3898, 1838, 3578, 1098, 3192]\n",
-      "[]\n",
-      "[1266, 4492, 3576, 2590, 2426, 3888, 1316, 2372]\n",
-      "[]\n",
-      "[1530, 4272, 1924, 1386, 3498, 2662]\n",
-      "[]\n",
-      "[3332, 2778, 1938, 1818, 4072, 3208, 1590]\n",
-      "[]\n",
-      "[]\n",
-      "[3336, 836, 4040, 4126, 3514]\n",
-      "[]\n",
-      "[]\n",
-      "[3060, 1134, 2704, 1990, 4630, 1702]\n",
-      "[]\n",
-      "[]\n",
-      "[1788, 3208, 3932, 2778, 3724, 4376]\n",
-      "[903, 3868, 2422, 4372, 4178]\n",
-      "[]\n",
-      "[2914, 2202, 1268, 2460, 1642, 1874]\n",
-      "[]\n",
-      "[1066, 1990, 4630, 3786, 3628]\n",
-      "[]\n",
-      "[1846, 3810, 1696, 1700, 1234]\n",
-      "[]\n",
-      "[]\n",
-      "[4392, 1782, 4206, 3246, 1098, 2194]\n",
-      "[]\n",
-      "[3330, 2256, 4524, 3334, 3726]\n",
-      "[]\n",
-      "[1930, 1834, 1700, 3148, 4080]\n",
-      "[]\n",
-      "[]\n",
-      "[885, 3104, 4396]\n",
-      "[]\n",
-      "[1156, 3978, 1926, 1746, 2094]\n",
-      "[]\n",
-      "[1212, 1514, 2916, 4124, 2598, 4494, 2542]\n",
-      "[]\n",
-      "[797, 2638, 3488, 1972]\n",
-      "[]\n",
-      "[2862, 1644, 3616]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3020, 1830, 1268, 3026, 2460, 4566]\n",
-      "[]\n",
-      "[]\n",
-      "[2790, 2542, 4260, 3508]\n",
-      "[]\n",
-      "[3858, 3404, 1472, 1402, 3182]\n",
-      "[]\n",
-      "[4264, 3448, 3212, 2314, 4578, 1654, 2514, 960]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[784, 2868, 3340, 3976, 2012]\n",
-      "[]\n",
-      "[2722, 4458, 1386, 3498, 4082, 3072, 1786]\n",
-      "[]\n",
-      "[3978, 3618, 1746, 1858, 3456]\n",
-      "[]\n",
-      "[3338, 1728, 4388, 3790, 1012, 2190]\n",
-      "[]\n",
-      "[852, 1846, 2988, 1628, 3148, 4080, 2234]\n",
-      "[]\n",
-      "[2352, 4206, 1554, 3816]\n",
-      "[]\n",
-      "[3332, 1788, 3210, 1590]\n",
-      "[]\n",
-      "[]\n",
-      "[4418, 2282, 917, 3766, 3710, 3680, 3206]\n",
-      "[]\n",
-      "[1294, 3508, 3104, 3408]\n",
-      "[]\n",
-      "[3142, 3578, 4226, 2360, 3558, 1678]\n",
-      "[]\n",
-      "[3152, 4340, 2592, 3138, 2922]\n",
-      "[]\n",
-      "[2760, 2722, 3976, 2594, 4082, 2440, 3334]\n",
-      "[]\n",
-      "[1864, 3488, 939]\n",
-      "[]\n",
-      "[3820, 4340, 3298, 2996, 3138]\n",
-      "[]\n",
-      "[2730, 1066, 1812, 1832, 2704, 3410, 4630]\n",
-      "[]\n",
-      "[]\n",
-      "[4420, 4256]\n",
-      "[]\n",
-      "[3416, 2292, 1442, 3006, 2382]\n",
-      "[]\n",
-      "[3416, 3302, 2180, 2382, 4640]\n",
-      "[]\n",
-      "[784, 1904, 3976, 2722, 1386, 4458]\n",
-      "[]\n",
-      "[1616, 1084, 2664, 931, 3278, 2038]\n",
-      "[]\n",
-      "[3338, 2350, 2190, 3574, 3140]\n",
-      "[]\n",
-      "[1356, 3490, 3186, 4272, 2348, 3128, 3536]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3792, 2738, 3024, 2294, 1716, 2502]\n",
-      "[]\n",
-      "[]\n",
-      "[3118, 3904, 2564, 1272, 1678, 3304]\n",
-      "[]\n",
-      "[784, 3316, 1616, 1084, 2014, 2164]\n",
-      "[2310, 2528, 2142, 2286]\n",
-      "[]\n",
-      "[1618, 3022, 1264, 1616, 3090, 3262]\n",
-      "[]\n",
-      "[]\n",
-      "[1420, 1388, 4046, 3090, 4334, 3262]\n",
-      "[]\n",
-      "[3824, 2530, 952, 4054]\n",
-      "[]\n",
-      "[4182, 2840, 2196, 4498, 3482, 1628]\n",
-      "[]\n",
-      "[1336, 3278, 2512, 2118, 2198, 1264]\n",
-      "[]\n",
-      "[3904, 1156, 1396, 1746, 1858, 2316]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2862, 2800, 1556, 1502, 3622, 4302]\n",
-      "[]\n",
-      "[3064, 2092, 2198, 4044, 3506, 1264]\n",
-      "[]\n",
-      "[]\n",
-      "[3432, 3932, 4554, 4606, 2762]\n",
-      "[2574, 2292, 1442, 3488, 2640, 3068, 3850]\n",
-      "[2310, 2056, 3104, 4396, 2286]\n",
-      "[]\n",
-      "[3668, 3544, 4072, 2894, 3208, 2380]\n",
-      "[]\n",
-      "[4600, 1258, 3266, 1636, 2604, 1538]\n",
-      "[]\n",
-      "[]\n",
-      "[4312, 2234, 4000, 3486, 4080]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2982, 2254, 3110, 2426, 3888]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[784, 3316, 3382, 1386, 4046, 2038]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2284, 2010, 3302, 2864, 4640]\n",
-      "[]\n",
-      "[3898, 4092, 4520, 3980, 3192, 3472]\n",
-      "[]\n",
-      "[2016, 3140, 1012, 1928, 3598]\n",
-      "[]\n",
-      "[3858, 2732, 3710, 3862, 3404, 1482]\n",
-      "[]\n",
-      "[2658, 2352, 4206, 3246, 1838, 3444]\n",
-      "[]\n",
-      "[2090, 1234, 1628, 1726]\n",
-      "[]\n",
-      "[2092, 3742, 2512, 2118, 2674, 929]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4418, 1830, 2914, 3782, 1482, 1642]\n",
-      "[]\n",
-      "[]\n",
-      "[3776, 2354, 1542, 3870, 4268, 3160]\n",
-      "[]\n",
-      "[3298, 2878, 953, 3138]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[852, 1930, 4578, 4080, 2484, 3486, 2150]\n",
-      "[]\n",
-      "[]\n",
-      "[2862, 1450, 1502, 3306]\n",
-      "[]\n",
-      "[2354, 1636, 3240, 3870, 4000, 3400]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2732, 2982, 2914, 1268, 3110, 2154, 3404]\n",
-      "[]\n",
-      "[1844, 3330, 1118, 3126, 4054]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4302, 4552, 3430, 4420]\n",
-      "[2288, 4628, 2636, 4192, 3220]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[980, 3862, 1942, 3710, 1424, 917]\n",
-      "[]\n",
-      "[3302, 3780, 2180, 2908, 2864]\n",
-      "[]\n",
-      "[2142, 4662, 2056, 4396]\n",
-      "[]\n",
-      "[3816, 2266, 3220, 1554, 2636]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1608, 1998, 3006, 3068, 1442, 2138]\n",
-      "[3354, 3024, 2032, 1568, 3622, 1252, 2502]\n",
-      "[]\n",
-      "[]\n",
-      "[2402, 3020, 903, 4178]\n",
-      "[]\n",
-      "[]\n",
-      "[2790, 2142, 2924, 2056, 3104]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1896, 3486, 2792, 4578, 1654]\n",
-      "[]\n",
-      "[3904, 1396, 1272, 2094, 1492]\n",
-      "[2400, 4520, 3484, 3290, 1424]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1212, 1294, 2402, 3020, 3026, 4260, 3508]\n",
-      "[]\n",
-      "[]\n",
-      "[4272, 3498, 3536, 2018]\n",
-      "[]\n",
-      "[3338, 1356, 2016, 1134, 2936, 3128, 3574]\n",
-      "[2792, 3444, 3816, 2194, 1936, 4206]\n",
-      "[]\n",
-      "[1542, 1700, 4080, 2220, 3870, 2240, 4000]\n",
-      "[3776, 926, 3870, 2740, 2788, 1158]\n",
-      "[]\n",
-      "[3118, 3142, 1678, 1958]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2760, 3072, 954, 3536]\n",
-      "[]\n",
-      "[2566, 1784, 2798, 4492, 4248, 4304]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1260, 2144, 1036, 3668, 1534]\n",
-      "[]\n",
-      "[2010, 1442, 3210, 4640, 1998]\n",
-      "[]\n",
-      "[]\n",
-      "[2318, 4520, 3290, 3786, 3472, 3780]\n",
-      "[]\n",
-      "[1294, 3020, 2340, 2300, 3244, 4178]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1828, 3868, 4372, 3052]\n",
-      "[]\n",
-      "[]\n",
-      "[1784, 2154, 3110, 2590]\n",
-      "[]\n",
-      "[]\n",
-      "[1970, 3150, 3340, 3976, 2594]\n",
-      "[]\n",
-      "[]\n",
-      "[3670, 3930, 1188, 836, 1698, 973]\n",
-      "[]\n",
-      "[]\n",
-      "[3592, 1186, 3682, 3336, 2898]\n",
-      "[]\n",
-      "[3792, 4324, 1830, 1874, 1642, 4566]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[876, 837, 4052, 2942, 4606]\n",
-      "[]\n",
-      "[1318, 1258, 2740, 3298, 2788, 953]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[852, 4578, 2234, 3448, 2872]\n",
-      "[]\n",
-      "[2798, 853, 3242, 939]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3792, 4324, 2294, 2032, 1252]\n",
-      "[2092, 2198, 3742, 1336, 4204]\n",
-      "[]\n",
-      "[2658, 1896, 1654, 960, 1768, 3376]\n",
-      "[]\n",
-      "[3804, 1116, 2574, 2638]\n",
-      "[]\n",
-      "[1502]\n",
-      "[]\n",
-      "[4154, 4256, 2056, 4662]\n",
-      "[]\n",
-      "[2088, 952]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1862, 2598, 1892, 2924, 2916]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3118, 2986, 2036, 3414, 3304, 1570]\n",
-      "[]\n",
-      "[1608, 3068, 4492, 4248, 2372, 3488]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2516, 2894, 2138, 3804, 2640, 2638, 3488]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1784, 1402, 3110, 1266, 2426]\n",
-      "[]\n",
-      "[3152, 1968, 2878, 3774, 3138, 4456]\n",
-      "[]\n",
-      "[1970, 3150, 2440, 3330, 3334]\n",
-      "[]\n",
-      "[1862, 4154, 3372, 2542, 2924]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1258, 2740, 1636, 1158, 2146]\n",
-      "[]\n",
-      "[]\n",
-      "[4268, 1410, 3380, 3160]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2288, 4312, 3486, 2792, 3816, 2266, 4192]\n",
-      "[]\n",
-      "[2516, 2574, 1864, 3488, 797]\n",
-      "[]\n",
-      "[2574, 4072, 2894, 3850, 2138, 1590]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3444, 1654, 2514, 2194, 3246, 3376]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1530, 4272, 2936, 1786, 3128]\n",
-      "[]\n",
-      "[1084, 2014, 931]\n",
-      "[]\n",
-      "[3220, 3978, 4628, 3662, 1436, 1710]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2198, 4498, 4044, 929]\n",
-      "[]\n",
-      "[]\n",
-      "[4392, 3702, 3246, 3376, 955, 3410]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2730, 1812, 3060, 3840, 1990]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1970, 3976, 4458, 2012, 1924, 4082]\n",
-      "[]\n",
-      "[1368, 1394, 876, 2870, 3598, 2942, 4376]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1420, 1634, 2704, 3410, 1990]\n",
-      "[]\n",
-      "[2192, 2914, 3404, 2254, 1482]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3792, 2032, 1716, 3414, 3782, 1642]\n",
-      "[]\n",
-      "[1258, 2358, 2470, 2788, 1158, 2604]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1970, 2370, 4082, 3072, 3334, 954]\n",
-      "[]\n",
-      "[4230, 3432, 2136, 1714, 1036]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3332, 1788, 1394, 1818, 4612, 4376]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1318, 2358, 2740, 926, 4380, 2470]\n",
-      "[]\n",
-      "[2924, 2310, 1892, 3508, 3104]\n",
-      "[]\n",
-      "[2352, 2314, 2636, 3486, 3444, 3816]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4248, 2372, 2490, 3242]\n",
-      "[]\n",
-      "[3354, 3622, 1556, 2116]\n",
-      "[]\n",
-      "[4524, 1354, 4040, 3726, 973]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2090, 3482]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1866, 1502, 1450, 2238, 3622, 2116]\n",
-      "[]\n",
-      "[1728, 2284, 2180, 3790, 4640]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[784, 1904, 1084, 3340]\n",
-      "[]\n",
-      "[1368, 876, 3086, 3890, 897, 2724]\n",
-      "[]\n",
-      "[852, 3064, 4264, 3506, 3448, 2484]\n",
-      "[]\n",
-      "[4180, 3266, 953, 2222, 2592, 3138, 3502, 3618, 3774]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2144, 2574, 4072, 1432, 3668, 3804, 2640]\n",
-      "[]\n",
-      "[3336, 3046, 2458]\n",
-      "[]\n",
-      "[]\n",
-      "[4388, 2284, 3786, 3780, 3790, 3628]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2732, 2254, 1830, 2202, 1268, 1482]\n",
-      "[]\n",
-      "[1212, 1862, 4260, 2542]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3152, 4340, 1968, 928]\n",
-      "[]\n",
-      "[2790, 2598, 2310, 4154, 2542]\n",
-      "[]\n",
-      "[1530, 1134, 3060, 3128, 2350, 2662]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2468, 876, 1606, 2724, 4376]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1268, 2154, 2254, 3020, 3888, 903]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3118, 2564, 3766, 1570]\n",
-      "[]\n",
-      "[852, 1930, 4436, 4182, 1628]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3820, 1318, 1494, 3298, 1986]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4426, 1608, 1472, 2292, 3182, 1998]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4436, 4498, 4044, 4182]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2982, 2402, 1268, 3026, 2340, 1874, 2300]\n",
-      "[]\n",
-      "[2058, 1616, 3278, 1264]\n",
-      "[]\n",
-      "[1492, 1748, 2032, 4572, 1716, 1568, 2294]\n",
-      "[]\n",
-      "[1212, 3020, 2340, 1874, 4566]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3930, 3336, 2898, 3514]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3576, 3868, 2422, 853, 3962]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1812, 1530, 1134, 2704, 2936, 3840]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[852, 4436, 4044, 2118, 3506, 2872]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2566, 2292, 3488, 2138]\n",
-      "[]\n",
-      "[2760, 2370, 1924, 4082, 3498]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3450, 3490, 1368, 796, 2870]\n",
-      "[]\n",
-      "[]\n",
-      "[2058, 3316, 1616, 2068, 4046, 3262]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1956, 2790, 2310, 2142, 1856, 4396]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2254, 3404, 2154, 1402, 2590, 2426]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1678, 2360, 2564, 2986, 3142, 2036]\n",
-      "[]\n",
-      "[1150, 1396, 1644, 1748, 3616]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3824, 3150, 3330, 2256]\n",
-      "[]\n",
-      "[1356, 4272, 2936, 2018, 2350, 2662]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4340, 1968, 2878, 2222, 1986, 2592]\n",
-      "[]\n",
-      "[2016, 2190, 3598, 3574, 1368]\n",
-      "[]\n",
-      "[3118, 3578, 1958, 2360, 3766, 3680, 1192]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1930, 1846, 1234, 1628]\n",
-      "[]\n",
-      "[3340, 3126, 2594, 2440]\n",
-      "[]\n",
-      "[2592, 4050, 1968, 2922, 4456]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2610, 3776, 926, 2220, 4268]\n",
-      "[]\n",
-      "[]\n",
-      "[1436, 4226, 4206, 1554, 1098]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 3858, 4426, 1472, 3006, 1894]\n",
-      "[]\n",
-      "[3490, 3536, 2018, 4232, 1392]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3898, 4092, 1782, 3578, 1192, 2182]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4418, 1942, 3766, 3782, 1570]\n",
-      "[]\n",
-      "[1788, 2144, 4072, 3724, 1818, 3544]\n",
-      "[]\n",
-      "[1442, 1938, 2382, 4640, 3850]\n",
-      "[]\n",
-      "[1896, 1618, 4264, 4334, 3262, 960]\n",
-      "[]\n",
-      "[1410, 1312]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2666, 2288, 1436, 1554, 4628, 2266]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4312, 1636, 2240, 4000, 4192, 1538]\n",
-      "[]\n",
-      "[2798, 2490, 853, 3962]\n",
-      "[]\n",
-      "[1294, 2402, 3408, 1190, 1086, 4178]\n",
-      "[]\n",
-      "[4392, 2658, 1838, 2194, 3376, 2682]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1618, 2058, 2068, 3212, 3090, 4334]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4600, 1258, 4180, 953, 2146, 2878]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1616, 2092, 3022, 2014]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 2400, 980, 2318, 3302, 3780, 1424]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1318, 2470, 1986, 2222, 2996]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 3416, 2284, 4426, 2010, 2180, 3290, 3780]\n",
-      "[]\n",
-      "[2564, 3414, 1272, 4572, 1716, 2036]\n",
-      "[]\n",
-      "[1176, 1450, 930, 2238]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1726, 1696, 1234]\n",
-      "[]\n",
-      "[2038, 2164, 1616, 4046, 3090]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1844, 2256, 3126, 2594, 3334]\n",
-      "[]\n",
-      "[4612, 1728, 2778, 1938, 1788, 4640]\n",
-      "[]\n",
-      "[1844, 2760, 1970, 3330, 954, 2594, 3726]\n",
-      "[]\n",
-      "[3450, 1186, 3046, 4126, 1800, 3514, 2898, 2458]\n",
-      "[]\n",
-      "[2350, 4388, 2016, 1928, 1702]\n",
-      "[]\n",
-      "[3150, 1904, 2440, 3976, 2868]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1514, 3622, 2800, 2294, 1252, 4124, 1556]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2598, 4420, 4154, 4494, 4256]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2658, 3702, 3246, 2514, 1768, 2682]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2610, 3756, 926, 4380]\n",
-      "[]\n",
-      "[1388, 1530, 2164, 1386, 4046, 1634, 3840]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1636, 1158, 3870, 2240]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3858, 2732, 2192, 2254, 1894, 3110, 1402]\n",
-      "[]\n",
-      "[]\n",
-      "[1294, 1956, 1086, 885, 3244]\n",
-      "[1420, 2730, 1066, 3702, 1990, 2682, 955]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2738, 2564, 1716, 3304, 3782, 1570]\n",
-      "[]\n",
-      "[3302, 4426, 2010, 1998]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2264, 4494, 1556, 4302]\n",
-      "[]\n",
-      "[3724, 2136, 1036, 2762]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2658, 2352, 2792, 1654, 2194]\n",
-      "[]\n",
-      "[1896, 4578, 4264, 2872, 2484]\n",
-      "[]\n",
-      "[3490, 4232, 3336, 4126, 3086, 1186, 897]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3978, 1926, 3502, 3662]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2400, 4520, 1066, 3980, 2182, 3786]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2090, 1656, 2840, 4498, 929]\n",
-      "[]\n",
-      "[4092, 4520, 1192, 2318, 917, 1424]\n",
-      "[]\n",
-      "[2314, 4578, 4312, 2636, 2792, 2234, 2150]\n",
-      "[]\n",
-      "[2566, 2574, 1864, 4248, 3068, 2138, 2638, 1972]\n",
-      "[]\n",
-      "[1356, 3450, 2018, 4232, 3186, 796, 3086]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4272, 2348, 1924, 1786, 3072]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4180, 2878, 3456, 3618]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1618, 3064, 4264, 2118, 1264, 2872]\n",
-      "[]\n",
-      "[1294, 1956, 2790, 2340, 1892, 4260]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3930, 3336, 836, 3046, 1800]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3186, 2370, 954, 2348, 2018]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2144, 1036, 3208, 3724]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1436, 1156, 4226, 1710, 1678, 1958]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1356, 2016, 3140, 1368, 796, 2350]\n",
-      "[]\n",
-      "[1784, 3888, 1316, 3868, 3962, 3052]\n",
-      "[]\n",
-      "[1782, 3142, 1098, 3192, 4226, 1958, 1192]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3890, 1186, 2458, 3682]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3140, 1368, 1012, 1394, 2724, 2190]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3120, 3622, 1748, 1866, 1568]\n",
-      "[]\n",
-      "[1926, 1746, 2878, 3774, 3502]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2862, 3354, 2294, 2800, 3616, 1568, 2116]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4388, 1832, 2908, 3786, 4630]\n",
-      "[]\n",
-      "[1502, 4552, 4302]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2666, 4240, 4600, 4180, 3978, 4628, 3456]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1260, 2144, 2380, 1432, 2894]\n",
-      "[]\n",
-      "[2444, 1188, 3930]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3142, 1192, 1942, 917, 3766]\n",
-      "[]\n",
-      "[3592, 1314, 837, 2458]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1420, 1768, 3376, 3410, 2682]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2192, 4418, 3862, 1942, 2282, 1482]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3432, 3208, 1818, 3932, 3544]\n",
-      "[]\n",
-      "[1844, 4524, 954, 1354, 3334, 2816]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2198, 2512, 1656]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3290, 3302, 3182, 4426, 3862, 3858, 980]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3380, 1410]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3142, 1942, 2986, 3680, 3206, 1570]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1746, 916, 2878, 2592, 3618, 4456]\n",
-      "[]\n",
-      "[2358, 3160, 2220, 926, 3870]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2400, 2284, 2908, 3290, 3786, 3302]\n",
-      "[]\n",
-      "[4418, 2738, 3414, 2202, 3206, 1570, 1642]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2400, 1066, 1832, 2908, 3472, 3780, 3628]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1728, 4388, 2908, 1928, 2864]\n",
-      "[]\n",
-      "[2032, 2738, 2502, 4324, 2460, 1642]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2516, 2574, 1116, 1432, 2894, 4342]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1834, 1312, 1542, 1696, 1700]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1176, 1150, 916, 930, 4050, 4456]\n",
-      "[]\n",
-      "[2288, 2352, 2636, 2792, 1936]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1986, 2996, 4340]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3126, 2088, 4054]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1530, 3382, 2704, 3060, 1634]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1442, 3210, 2640, 2138, 1590]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 3182, 1894, 3862, 2192, 3404]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 3858, 2192, 980, 2282, 3710]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3576, 1828, 3888, 903, 2422, 3052]\n",
-      "[]\n",
-      "[2358, 3776, 2354, 2220, 3400, 2240]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2982, 1784, 2154, 3576, 3868, 903]\n",
-      "[]\n",
-      "[3592, 876, 2870, 837, 897]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4392, 1782, 3192, 2182, 3980]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1678, 2316, 2094, 1272, 1156, 2036]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3670, 2444, 3046, 836, 3514]\n",
-      "[]\n",
-      "[2136, 1606, 1818, 3724, 4376]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3576, 1316, 853, 3052, 3242]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1970, 1904, 2440, 3340, 2722, 2012]\n",
-      "[]\n",
-      "[2666, 1156, 1926, 3662, 1858, 3456, 1710]\n",
-      "[]\n",
-      "[3898, 955, 2182, 3472]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4312, 2354, 3240, 4080, 2240, 2150]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[836, 1354, 973, 2816, 1800]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4436, 3064, 2118, 3012, 2674]\n",
-      "[]\n",
-      "[1388, 3316, 2068, 3382, 2164, 3090]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3152, 1176, 928, 4456, 3814]\n",
-      "[]\n",
-      "[1314, 2468, 837, 4554, 4606]\n",
-      "[]\n",
-      "[3824, 952, 1118, 2088, 2256]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1788, 2144, 2894, 3208, 1590, 2640]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1930, 1846, 2354, 2234, 4000, 2150, 1700]\n",
-      "[]\n",
-      "[2760, 1970, 2722, 1924, 3072]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3192, 4520, 2182, 3484, 1192]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1212, 4324, 1862, 3354, 1514, 1252]\n",
-      "[]\n",
-      "[3450, 3336, 1392, 1354, 4232, 1800]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2598, 2528, 3372, 4256, 2924]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2402, 2300, 1828, 1190, 3244]\n",
-      "[]\n",
-      "[4600, 3266, 3502, 2878, 3662]\n",
-      "[]\n",
-      "[2090, 2988, 4498, 3012]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4240, 4312, 2636, 3240, 2266, 1538]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2512, 1336, 931]\n",
-      "[]\n",
-      "[2352, 1838, 2194, 1936, 3168, 1098]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
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-      "[]\n",
-      "[]\n",
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-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1436, 3578, 3168, 1098, 1958, 3558]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1036, 2762, 1534]\n",
-      "[]\n",
-      "[3450, 3490, 3186, 1392, 4126]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4192, 1538, 4628, 3662, 4600]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2566, 2798, 2372, 3488, 939]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n"
-     ]
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-     "output_type": "stream",
-     "text": [
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-      "[]\n",
-      "[4420, 2528, 4154, 4662, 3372, 1994]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1212, 2340, 1892, 2916, 3508]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1896, 1618, 3212, 3506, 2872, 3448]\n",
-      "[]\n",
-      "[1190, 1086, 839]\n",
-      "[]\n",
-      "[2610, 1410, 1312, 1542, 2220, 3160]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3498, 1786, 3128, 2662, 2348, 2018]\n",
-      "[]\n",
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-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2264, 1556, 4552, 2116, 3430, 3630]\n",
-      "[]\n",
-      "[2372, 1316]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3486, 4000, 3240, 2150, 4192, 2636]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1212, 3792, 1252, 4124, 2502, 2460, 4566]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1420, 2068, 3212, 960, 3262, 1768]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3820, 1986, 3138, 1968, 2922]\n",
-      "[]\n",
-      "[1260, 1116, 1432, 3804]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1828, 1190, 2422]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1394, 1606, 1818, 2724, 2778, 2942, 3932]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1318, 3380, 1494, 926, 2788]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3338, 1928, 4630, 1702, 3790, 3628, 2908]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1838, 3246, 955, 2682, 3898, 1782]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2142, 1856, 3104, 2286]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3710, 1942, 3782, 2202, 3206, 1482]\n",
-      "[]\n",
-      "[2264, 3372, 4256, 4494, 1994]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3746, 3416, 3302, 3182, 3006]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[852, 4044, 3012, 2988, 3064]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3152, 916, 3774, 4050, 3814, 2592]\n",
-      "[]\n",
-      "[2722, 1924, 1386, 2012]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1608, 2566, 1784, 1472, 2372, 1266]\n",
-      "[]\n",
-      "[1862, 1514, 4420, 1556, 3430, 3372]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2090, 3482, 4182, 3012, 2674, 929]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2400, 4092, 2318, 2182, 3472, 3484]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1844, 1118, 1160, 3726, 2816]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2264, 4302, 3630]\n",
-      "[]\n",
-      "[1314, 2136, 1714, 4052, 4606]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1212, 4324, 1874, 3026, 2460]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3024, 1272, 1492, 1716, 3304]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[1896, 2314, 2484, 3448, 3486, 2234]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[4240, 3266, 2146, 1538, 4180, 3662]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2468, 2136, 4052, 1606, 4554]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3332, 1728, 1012, 1394, 2778]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2666, 4240, 2266, 3220, 3662]\n",
-      "[]\n",
-      "[4388, 1812, 1832, 3628, 1990, 1702]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[3332, 1728, 2010, 2180, 3210, 2864, 2382]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[]\n",
-      "[2528, 4256, 2286]\n",
-      "[]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Count the number of neighbours that are sisters\n",
-    "count = 0\n",
-    "phys.computeNeighbours = True\n",
-    "for (id,cell) in cs.iteritems():\n",
-    "    sim.phys.updateCellState(cell)\n",
-    "    for i in cell.neighbours:\n",
-    "        nbr = cs[i]\n",
-    "        if lineage[id]==lineage[i]:\n",
-    "            count += 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.14"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

From 62325dff261ac592f55bda0002516f87132f4a8c Mon Sep 17 00:00:00 2001
From: Tim Rudge <timrudge@gmail.com>
Date: Wed, 7 Oct 2026 10:39:58 +0100
Subject: [PATCH 06/13] Fix typos

---
 CellModeller/GUI/Renderers.py         | 2 +-
 CellModeller/Regulation/SBMLImport.py | 6 +++---
 CellModeller/Simulator.py             | 8 ++++----
 Community/contributing.md             | 4 ++--
 4 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/CellModeller/GUI/Renderers.py b/CellModeller/GUI/Renderers.py
index f5dc3128..7935e57e 100644
--- a/CellModeller/GUI/Renderers.py
+++ b/CellModeller/GUI/Renderers.py
@@ -191,7 +191,7 @@ def render_gl(self, selection=None):
         glDisable(GL_TEXTURE_2D)
 
 class GLPlantSignalRenderer:
-    # Render signals as chanels rgb
+    # Render signals as channels rgb
     def __init__(self, sim, chanIdx):
         self.sim = sim
         self.wallcol = [0, 0, 0]
diff --git a/CellModeller/Regulation/SBMLImport.py b/CellModeller/Regulation/SBMLImport.py
index 6bdcb3e6..a8107b1c 100644
--- a/CellModeller/Regulation/SBMLImport.py
+++ b/CellModeller/Regulation/SBMLImport.py
@@ -5,8 +5,8 @@
 
 
 # indicates whether we should perform SBML document consistency check.
-# supressed by default because the MSR SBML library does not produce valid SBML. 
-supressConsistencyCheck = True
+# suppressed by default because the MSR SBML library does not produce valid SBML. 
+suppressConsistencyCheck = True
 
 
 # get the array index of given species ID:
@@ -24,7 +24,7 @@ def specOdeNameFromId(specId):
 # checks the given SBML document for consistency and raises
 # an exception if internal inconsistency is detected.
 def checkSBMLConsistency(document):
-    if supressConsistencyCheck:
+    if suppressConsistencyCheck:
         return
     
     numFailures = document.checkInternalConsistency()
diff --git a/CellModeller/Simulator.py b/CellModeller/Simulator.py
index c2b5eeb3..f7670680 100644
--- a/CellModeller/Simulator.py
+++ b/CellModeller/Simulator.py
@@ -166,7 +166,7 @@ def next_idx(self):
     # and have the user-defined func initialise the 3 modules
 
     ## Specify models to be used by simulator object. The four inputs are
-    # 'phys' = physical model of cell iteractions
+    # 'phys' = physical model of cell interactions
     # 'reg' = regulatory model of biochemical circuit in the cell
     # 'sig' = signaling model of intercellular chemical reaction diffusion.
     # 'integ' = integrator
@@ -191,7 +191,7 @@ def init(self, phys, reg, sig, integ):
             self.reg.setSignalling(sig)
 
 
-    ## Set up the OpenCL contex, the configuration is set up the first time, and is saved in the config file
+    ## Set up the OpenCL context, the configuration is set up the first time, and is saved in the config file
     def init_cl(self, platnum, devnum):
         # Check that specified platform exists
         platforms = cl.get_platforms()
@@ -378,10 +378,10 @@ def importCells_file(self, filename):
         for row in list:
             cpos = [float(row[0]),float(row[1]),float(row[2])]
             cdir = [float(row[3]),float(row[4]),float(row[5])]
-            clen = float(row[6]) #radius should be removed from this in the analysis
+            cell_len = float(row[6]) #radius should be removed from this in the analysis
             ndir = cdir/numpy.linalg.norm(cdir) #normalize cell dir just in case
             #this should probably also check for overlaps
-            self.addCell(pos=tuple(cpos), dir=tuple(ndir), length=clen)
+            self.addCell(pos=tuple(cpos), dir=tuple(ndir), length=cell_len)
 
     ## Write current simulation state to an output file
     def writePickle(self, csv=False):
diff --git a/Community/contributing.md b/Community/contributing.md
index 106868e5..01027608 100644
--- a/Community/contributing.md
+++ b/Community/contributing.md
@@ -10,13 +10,13 @@ Write yout first issue [Here](https://github.com/cellmodeller/CellModeller/issue
 ## Fork and Pull Request
 
 For people that may want to change the code to solve a bug or add a new feature for example we suggest to fork the project, implement the changes and make a pull request.
-If you fork the project and adapt it to your usage we strongly reccommend to make a pull request to implement this usage for other users. 
+If you fork the project and adapt it to your usage we strongly recommend to make a pull request to implement this usage for other users. 
 
 ## New Branch and Pull Request
 
 For recurrent contributors we will add them to the organization and provide authorization to edit. 
 To contribute make a new branch, if you dont know which branch use as base create one from master, implement your changes and make a pull request.
-With this we avoid that the project diverge from forks and incentivate a culture of continuous contribution.
+With this we avoid that the project diverge from forks and incentivize a culture of continuous contribution.
 
 ## General Open Source Guite to Contribute
 

From 30669ba31334394aa815fc6947ba21056e3cd309 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 15:39:39 +0200
Subject: [PATCH 07/13] renamed GUI folder to gui

---
 CellModeller.egg-info/PKG-INFO                |  15 +++++
 CellModeller.egg-info/SOURCES.txt             |  18 ++++++
 CellModeller.egg-info/dependency_links.txt    |   1 +
 CellModeller.egg-info/requires.txt            |   9 +++
 CellModeller.egg-info/top_level.txt           |   1 +
 CellModeller/Regulation/SBMLImport.py         |  12 ++--
 .../ModuleRegulator.cpython-311.pyc           | Bin 0 -> 4045 bytes
 .../__pycache__/SBMLImport.cpython-311.pyc    | Bin 0 -> 13047 bytes
 .../__pycache__/__init__.cpython-311.pyc      | Bin 0 -> 144 bytes
 .../__pycache__/CellState.cpython-311.pyc     | Bin 0 -> 822 bytes
 .../__pycache__/Simulator.cpython-311.pyc     | Bin 0 -> 19970 bytes
 .../__pycache__/__init__.cpython-311.pyc      | Bin 0 -> 170 bytes
 CellModeller/{GUI => gui}/PyGLCMViewer.py     |   0
 CellModeller/{GUI => gui}/PyGLGUI.ui          |   2 +-
 CellModeller/{GUI => gui}/PyGLWidget.py       |   0
 CellModeller/{GUI => gui}/Renderers.py        |   0
 CellModeller/{GUI => gui}/__init__.py         |   0
 .../__pycache__/PyGLCMViewer.cpython-311.pyc  | Bin 0 -> 19309 bytes
 .../__pycache__/PyGLWidget.cpython-311.pyc    | Bin 0 -> 20224 bytes
 .../gui/__pycache__/Renderers.cpython-311.pyc | Bin 0 -> 84547 bytes
 .../gui/__pycache__/__init__.cpython-311.pyc  | Bin 0 -> 137 bytes
 Scripts/CellModellerGUI.py                    |   6 +-
 .../CellModellerGUI.cpython-311.pyc           | Bin 0 -> 1644 bytes
 Scripts/__pycache__/Draw2DPDF.cpython-311.pyc | Bin 0 -> 12185 bytes
 .../LengthHistogram.cpython-311.pyc           | Bin 0 -> 2884 bytes
 Scripts/__pycache__/batch.cpython-311.pyc     | Bin 0 -> 3313 bytes
 Scripts/__pycache__/batchFile.cpython-311.pyc | Bin 0 -> 2819 bytes
 .../__pycache__/batch_iter.cpython-311.pyc    | Bin 0 -> 1409 bytes
 .../__pycache__/contactGraph.cpython-311.pyc  | Bin 0 -> 10109 bytes
 .../__pycache__/multi_batch.cpython-311.pyc   | Bin 0 -> 3365 bytes
 .../__pycache__/printTiming.cpython-311.pyc   | Bin 0 -> 1063 bytes
 .../spatial_analyze.cpython-311.pyc           | Bin 0 -> 2639 bytes
 Scripts/batch_iter.py                         |   2 +-
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 .../step-00000.pickle                         | Bin 0 -> 2726 bytes
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 .../ex1_simpleGrowth                          |  59 ++++++++++++++++++
 setup.py                                      |   2 +-
 41 files changed, 410 insertions(+), 12 deletions(-)
 create mode 100644 CellModeller.egg-info/PKG-INFO
 create mode 100644 CellModeller.egg-info/SOURCES.txt
 create mode 100644 CellModeller.egg-info/dependency_links.txt
 create mode 100644 CellModeller.egg-info/requires.txt
 create mode 100644 CellModeller.egg-info/top_level.txt
 create mode 100644 CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc
 create mode 100644 CellModeller/Regulation/__pycache__/SBMLImport.cpython-311.pyc
 create mode 100644 CellModeller/Regulation/__pycache__/__init__.cpython-311.pyc
 create mode 100644 CellModeller/__pycache__/CellState.cpython-311.pyc
 create mode 100644 CellModeller/__pycache__/Simulator.cpython-311.pyc
 create mode 100644 CellModeller/__pycache__/__init__.cpython-311.pyc
 rename CellModeller/{GUI => gui}/PyGLCMViewer.py (100%)
 rename CellModeller/{GUI => gui}/PyGLGUI.ui (99%)
 rename CellModeller/{GUI => gui}/PyGLWidget.py (100%)
 rename CellModeller/{GUI => gui}/Renderers.py (100%)
 rename CellModeller/{GUI => gui}/__init__.py (100%)
 create mode 100644 CellModeller/gui/__pycache__/PyGLCMViewer.cpython-311.pyc
 create mode 100644 CellModeller/gui/__pycache__/PyGLWidget.cpython-311.pyc
 create mode 100644 CellModeller/gui/__pycache__/Renderers.cpython-311.pyc
 create mode 100644 CellModeller/gui/__pycache__/__init__.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/CellModellerGUI.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/Draw2DPDF.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/LengthHistogram.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/batch.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/batchFile.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/batch_iter.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/contactGraph.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/multi_batch.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/printTiming.cpython-311.pyc
 create mode 100644 Scripts/__pycache__/spatial_analyze.cpython-311.pyc
 create mode 100644 data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
 create mode 100644 data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
 create mode 100644 data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle
 create mode 100644 data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
 create mode 100644 data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
 create mode 100644 data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
 create mode 100644 data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth

diff --git a/CellModeller.egg-info/PKG-INFO b/CellModeller.egg-info/PKG-INFO
new file mode 100644
index 00000000..7500a937
--- /dev/null
+++ b/CellModeller.egg-info/PKG-INFO
@@ -0,0 +1,15 @@
+Metadata-Version: 2.4
+Name: CellModeller
+Version: 4.5.0+2.sha62325df
+Requires-Python: >=3
+Requires-Dist: numpy
+Requires-Dist: scipy
+Requires-Dist: pyopengl
+Requires-Dist: mako
+Requires-Dist: pyqt5
+Requires-Dist: pyopencl
+Requires-Dist: reportlab
+Requires-Dist: matplotlib
+Requires-Dist: setuptools<82,>=70
+Dynamic: requires-dist
+Dynamic: requires-python
diff --git a/CellModeller.egg-info/SOURCES.txt b/CellModeller.egg-info/SOURCES.txt
new file mode 100644
index 00000000..9a1152b3
--- /dev/null
+++ b/CellModeller.egg-info/SOURCES.txt
@@ -0,0 +1,18 @@
+README.md
+setup.py
+CellModeller/CellState.py
+CellModeller/Simulator.py
+CellModeller/__init__.py
+CellModeller.egg-info/PKG-INFO
+CellModeller.egg-info/SOURCES.txt
+CellModeller.egg-info/dependency_links.txt
+CellModeller.egg-info/requires.txt
+CellModeller.egg-info/top_level.txt
+CellModeller/Regulation/ModuleRegulator.py
+CellModeller/Regulation/SBMLImport.py
+CellModeller/Regulation/__init__.py
+CellModeller/gui/PyGLCMViewer.py
+CellModeller/gui/PyGLGUI.ui
+CellModeller/gui/PyGLWidget.py
+CellModeller/gui/Renderers.py
+CellModeller/gui/__init__.py
\ No newline at end of file
diff --git a/CellModeller.egg-info/dependency_links.txt b/CellModeller.egg-info/dependency_links.txt
new file mode 100644
index 00000000..8b137891
--- /dev/null
+++ b/CellModeller.egg-info/dependency_links.txt
@@ -0,0 +1 @@
+
diff --git a/CellModeller.egg-info/requires.txt b/CellModeller.egg-info/requires.txt
new file mode 100644
index 00000000..ecf2d538
--- /dev/null
+++ b/CellModeller.egg-info/requires.txt
@@ -0,0 +1,9 @@
+numpy
+scipy
+pyopengl
+mako
+pyqt5
+pyopencl
+reportlab
+matplotlib
+setuptools<82,>=70
diff --git a/CellModeller.egg-info/top_level.txt b/CellModeller.egg-info/top_level.txt
new file mode 100644
index 00000000..6d0b89e7
--- /dev/null
+++ b/CellModeller.egg-info/top_level.txt
@@ -0,0 +1 @@
+CellModeller
diff --git a/CellModeller/Regulation/SBMLImport.py b/CellModeller/Regulation/SBMLImport.py
index a8107b1c..c0a10a3f 100644
--- a/CellModeller/Regulation/SBMLImport.py
+++ b/CellModeller/Regulation/SBMLImport.py
@@ -40,12 +40,12 @@ def SBMLModelFromSBMLFile(sbmlFile):
     reader = SBMLReader()    
     document = reader.readSBML(sbmlFile)
     if document.getNumErrors()>0:
-	print("Errors in reading SBML file...")
-    checkSBMLConsistency(document)
-    model = document.getModel()
+        print("Errors in reading SBML file...")
+        checkSBMLConsistency(document)
+        model = document.getModel()
     if not model:
-	print("No model!")
-    return model
+        print("No model!")
+        return model
 
 
 # load SBML model form given string.
@@ -124,7 +124,7 @@ def pythonMathFromASTNode(astNode, kineticLaw, model):
             return "1"
         
     else:    
-	raise Exception("Un-supported AST node type: " + str(astNode.isName()) + ", node: " + str(astNode.getType()))
+	    raise Exception("Un-supported AST node type: " + str(astNode.isName()) + ", node: " + str(astNode.getType()))
         
 
 # constructs a python program string from given SBML model.
diff --git a/CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc b/CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc
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diff --git a/CellModeller/__pycache__/__init__.cpython-311.pyc b/CellModeller/__pycache__/__init__.cpython-311.pyc
new file mode 100644
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diff --git a/CellModeller/GUI/PyGLCMViewer.py b/CellModeller/gui/PyGLCMViewer.py
similarity index 100%
rename from CellModeller/GUI/PyGLCMViewer.py
rename to CellModeller/gui/PyGLCMViewer.py
diff --git a/CellModeller/GUI/PyGLGUI.ui b/CellModeller/gui/PyGLGUI.ui
similarity index 99%
rename from CellModeller/GUI/PyGLGUI.ui
rename to CellModeller/gui/PyGLGUI.ui
index 3fb41184..93a68074 100644
--- a/CellModeller/GUI/PyGLGUI.ui
+++ b/CellModeller/gui/PyGLGUI.ui
@@ -158,7 +158,7 @@
   <customwidget>
    <class>PyGLCMViewer</class>
    <extends>QWidget</extends>
-   <header>CellModeller.GUI.PyGLCMViewer</header>
+   <header>CellModeller.gui.PyGLCMViewer</header>
    <slots>
     <signal>setSavePicklesToggle(bool)</signal>
     <slot>load()</slot>
diff --git a/CellModeller/GUI/PyGLWidget.py b/CellModeller/gui/PyGLWidget.py
similarity index 100%
rename from CellModeller/GUI/PyGLWidget.py
rename to CellModeller/gui/PyGLWidget.py
diff --git a/CellModeller/GUI/Renderers.py b/CellModeller/gui/Renderers.py
similarity index 100%
rename from CellModeller/GUI/Renderers.py
rename to CellModeller/gui/Renderers.py
diff --git a/CellModeller/GUI/__init__.py b/CellModeller/gui/__init__.py
similarity index 100%
rename from CellModeller/GUI/__init__.py
rename to CellModeller/gui/__init__.py
diff --git a/CellModeller/gui/__pycache__/PyGLCMViewer.cpython-311.pyc b/CellModeller/gui/__pycache__/PyGLCMViewer.cpython-311.pyc
new file mode 100644
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diff --git a/CellModeller/gui/__pycache__/__init__.cpython-311.pyc b/CellModeller/gui/__pycache__/__init__.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..30c8845b90891baadc375a8e2b3b5800f9ff8fe2
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diff --git a/Scripts/CellModellerGUI.py b/Scripts/CellModellerGUI.py
index 23f3b699..da4eaf1d 100644
--- a/Scripts/CellModellerGUI.py
+++ b/Scripts/CellModellerGUI.py
@@ -10,9 +10,9 @@
 from PyQt5 import uic
 from PyQt5.QtCore import *
 
-import CellModeller.GUI.Renderers
+import CellModeller.gui.Renderers
 from CellModeller import Simulator
-from CellModeller.GUI.PyGLCMViewer import PyGLCMViewer, RenderInfo
+from CellModeller.gui.PyGLCMViewer import PyGLCMViewer, RenderInfo
 from pkg_resources import resource_stream
 
 import os
@@ -22,7 +22,7 @@
 qapp = QApplication([])
 
 # The UI
-uifile = resource_stream('CellModeller.GUI', 'PyGLGUI.ui')
+uifile = resource_stream('CellModeller.gui', 'PyGLGUI.ui')
 ui = uic.loadUi(uifile)
 ui.show()
 ui.raise_()
diff --git a/Scripts/__pycache__/CellModellerGUI.cpython-311.pyc b/Scripts/__pycache__/CellModellerGUI.cpython-311.pyc
new file mode 100644
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diff --git a/Scripts/batch_iter.py b/Scripts/batch_iter.py
index c353173a..9807ccc1 100644
--- a/Scripts/batch_iter.py
+++ b/Scripts/batch_iter.py
@@ -20,4 +20,4 @@ def simulate(mod_name, ingam, fname):
 
 #here we are varying gamma from 1 to 50, every 2
 for i in range(len(gammas)):
-    simulate(sys.argv[1],gammas[i],(str(sys.argv[1])+'_gamma='+str(gammas[i]))
+    simulate(sys.argv[1],gammas[i],(str(sys.argv[1])+'_gamma='+str(gammas[i])))
diff --git a/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
new file mode 100644
index 00000000..3677a166
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation.ModuleRegulator import ModuleRegulator
+from cmcomponents.biophysics.BacterialModels.CLBacterium import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.GUI import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
new file mode 100644
index 00000000..76aab0d4
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation.ModuleRegulator import ModuleRegulator
+from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.GUI import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle b/data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle
new file mode 100644
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diff --git a/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
new file mode 100644
index 00000000..d34a3128
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation.module_regulator import ModuleRegulator
+from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.GUI import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
new file mode 100644
index 00000000..d34a3128
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation.module_regulator import ModuleRegulator
+from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.GUI import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
new file mode 100644
index 00000000..46936aac
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation import ModuleRegulator
+from cmcomponents.biophysics.bacterial_models import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.GUI import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth
new file mode 100644
index 00000000..f5119d4d
--- /dev/null
+++ b/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth
@@ -0,0 +1,59 @@
+import random
+from cmcomponents.regulation import ModuleRegulator
+from cmcomponents.biophysics.bacterial_models import CLBacterium
+import numpy
+import math
+
+cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
+outfile = 'all.csv'
+
+def setup(sim):
+    # Set biophysics, signalling, and regulation models
+    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
+
+    # use this file for reg too
+    regul = ModuleRegulator(sim, sim.moduleName)	
+    # Only biophys and regulation
+    sim.init(biophys, regul, None, None)
+ 
+    # Specify the initial cell and its location in the simulation
+    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
+
+    # Add some objects to draw the models
+    #if sim.is_gui:
+    from CellModeller.gui import Renderers
+    therenderer = Renderers.GLBacteriumRenderer(sim)
+    sim.addRenderer(therenderer)
+    #else:
+    #    print("Running in batch mode: no display will be output")
+
+    sim.pickleSteps = 100
+    sim.saveOutput = True
+
+def init(cell):
+    # Specify mean and distribution of initial cell size
+    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
+    # Specify growth rate of cells
+    cell.growthRate = 1.0
+    cell.color = cell_cols[cell.cellType]
+
+def update(cells):
+    #Iterate through each cell and flag cells that reach target size for division
+    for (id, cell) in cells.items():
+        if cell.volume > cell.targetVol:
+            cell.divideFlag = True
+
+        gr = cell.strainRate/0.05
+        cgr = gr - 0.5
+        # Return value is tuple of colors, (fill, stroke)
+        #if cgr>0:
+        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
+        #else:
+        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
+
+
+def divide(parent, d1, d2):
+    # Specify target cell size that triggers cell division
+    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
+    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
+
diff --git a/setup.py b/setup.py
index d2ba9630..cfb4e15a 100644
--- a/setup.py
+++ b/setup.py
@@ -26,7 +26,7 @@
     packages=[
         'CellModeller',
         'CellModeller.Regulation',
-        'CellModeller.GUI'
+        'CellModeller.gui'
     ],
     package_data={'': ['*.cl', '*.ui']},
     python_requires='>=3',

From d7e04021d278adc62ec35d5f67b84a1cfe146fae Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 15:41:50 +0200
Subject: [PATCH 08/13] added gitignore for python build artifacts

---
 .gitignore | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 .gitignore

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 00000000..fd658f9a
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,11 @@
+__pycache__/
+*.py[cod]
+*.egg-info/
+build/
+dist/
+.eggs/
+.ipynb_checkpoints/
+.vscode/
+.idea/
+.DS_Store
+data/

From 44f5645b838543900a49ce32dde808f231aa9464 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 15:57:35 +0200
Subject: [PATCH 09/13] changed file names inside gui/

---
 CellModeller/gui/{PyGLCMViewer.py => py_gl_cm_viewer.py} | 2 +-
 CellModeller/gui/{PyGLGUI.ui => py_gl_gui.ui}            | 2 +-
 CellModeller/gui/{PyGLWidget.py => py_gl_widget.py}      | 0
 CellModeller/gui/{Renderers.py => renderers.py}          | 0
 Scripts/CellModellerGUI.py                               | 6 +++---
 5 files changed, 5 insertions(+), 5 deletions(-)
 rename CellModeller/gui/{PyGLCMViewer.py => py_gl_cm_viewer.py} (99%)
 rename CellModeller/gui/{PyGLGUI.ui => py_gl_gui.ui} (99%)
 rename CellModeller/gui/{PyGLWidget.py => py_gl_widget.py} (100%)
 rename CellModeller/gui/{Renderers.py => renderers.py} (100%)

diff --git a/CellModeller/gui/PyGLCMViewer.py b/CellModeller/gui/py_gl_cm_viewer.py
similarity index 99%
rename from CellModeller/gui/PyGLCMViewer.py
rename to CellModeller/gui/py_gl_cm_viewer.py
index 20e5134d..b6b89e02 100644
--- a/CellModeller/gui/PyGLCMViewer.py
+++ b/CellModeller/gui/py_gl_cm_viewer.py
@@ -3,7 +3,7 @@
 from PyQt5.Qt import Qt
 from PyQt5.QtCore import QObject, QTimer, pyqtSignal, pyqtSlot
 from PyQt5.QtWidgets import QInputDialog, QFileDialog
-from .PyGLWidget import PyGLWidget
+from .py_gl_widget import PyGLWidget
 from OpenGL.GL import *
 from OpenGL.GLU import *
 
diff --git a/CellModeller/gui/PyGLGUI.ui b/CellModeller/gui/py_gl_gui.ui
similarity index 99%
rename from CellModeller/gui/PyGLGUI.ui
rename to CellModeller/gui/py_gl_gui.ui
index 93a68074..24b43045 100644
--- a/CellModeller/gui/PyGLGUI.ui
+++ b/CellModeller/gui/py_gl_gui.ui
@@ -158,7 +158,7 @@
   <customwidget>
    <class>PyGLCMViewer</class>
    <extends>QWidget</extends>
-   <header>CellModeller.gui.PyGLCMViewer</header>
+   <header>CellModeller.gui.py_gl_cm_viewer</header>
    <slots>
     <signal>setSavePicklesToggle(bool)</signal>
     <slot>load()</slot>
diff --git a/CellModeller/gui/PyGLWidget.py b/CellModeller/gui/py_gl_widget.py
similarity index 100%
rename from CellModeller/gui/PyGLWidget.py
rename to CellModeller/gui/py_gl_widget.py
diff --git a/CellModeller/gui/Renderers.py b/CellModeller/gui/renderers.py
similarity index 100%
rename from CellModeller/gui/Renderers.py
rename to CellModeller/gui/renderers.py
diff --git a/Scripts/CellModellerGUI.py b/Scripts/CellModellerGUI.py
index da4eaf1d..4e040ff5 100644
--- a/Scripts/CellModellerGUI.py
+++ b/Scripts/CellModellerGUI.py
@@ -10,9 +10,9 @@
 from PyQt5 import uic
 from PyQt5.QtCore import *
 
-import CellModeller.gui.Renderers
+import CellModeller.gui.renderers
 from CellModeller import Simulator
-from CellModeller.gui.PyGLCMViewer import PyGLCMViewer, RenderInfo
+from CellModeller.gui.py_gl_cm_viewer import PyGLCMViewer, RenderInfo
 from pkg_resources import resource_stream
 
 import os
@@ -22,7 +22,7 @@
 qapp = QApplication([])
 
 # The UI
-uifile = resource_stream('CellModeller.gui', 'PyGLGUI.ui')
+uifile = resource_stream('CellModeller.gui', 'py_gl_gui.ui')
 ui = uic.loadUi(uifile)
 ui.show()
 ui.raise_()

From d7308d1b39f09776a925cea3cca3f99116b54cad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 16:02:58 +0200
Subject: [PATCH 10/13] renamed CellState and Simulator modules to cell_state
 and simulator

---
 CellModeller/{CellState.py => cell_state.py} | 0
 CellModeller/gui/py_gl_cm_viewer.py          | 4 ++--
 CellModeller/{Simulator.py => simulator.py}  | 2 +-
 Scripts/CellModellerGUI.py                   | 2 +-
 Scripts/batch.py                             | 2 +-
 Scripts/batchFile.py                         | 2 +-
 Scripts/batch_iter.py                        | 2 +-
 Scripts/contactGraph.py                      | 2 +-
 Scripts/multi_batch.py                       | 2 +-
 9 files changed, 9 insertions(+), 9 deletions(-)
 rename CellModeller/{CellState.py => cell_state.py} (100%)
 rename CellModeller/{Simulator.py => simulator.py} (99%)

diff --git a/CellModeller/CellState.py b/CellModeller/cell_state.py
similarity index 100%
rename from CellModeller/CellState.py
rename to CellModeller/cell_state.py
diff --git a/CellModeller/gui/py_gl_cm_viewer.py b/CellModeller/gui/py_gl_cm_viewer.py
index b6b89e02..e6e34eea 100644
--- a/CellModeller/gui/py_gl_cm_viewer.py
+++ b/CellModeller/gui/py_gl_cm_viewer.py
@@ -8,8 +8,8 @@
 from OpenGL.GLU import *
 
 from CellModeller.Regulation import ModuleRegulator
-from CellModeller.Simulator import Simulator
-from CellModeller.CellState import CellState
+from CellModeller.simulator import Simulator
+from CellModeller.cell_state import CellState
 import os
 import sys
 import pickle
diff --git a/CellModeller/Simulator.py b/CellModeller/simulator.py
similarity index 99%
rename from CellModeller/Simulator.py
rename to CellModeller/simulator.py
index f7670680..57ca5ac4 100644
--- a/CellModeller/Simulator.py
+++ b/CellModeller/simulator.py
@@ -1,4 +1,4 @@
-from .CellState import CellState
+from .cell_state import CellState
 import copy
 import pyopencl as cl
 import sys
diff --git a/Scripts/CellModellerGUI.py b/Scripts/CellModellerGUI.py
index 4e040ff5..b91d5fcb 100644
--- a/Scripts/CellModellerGUI.py
+++ b/Scripts/CellModellerGUI.py
@@ -11,7 +11,7 @@
 from PyQt5.QtCore import *
 
 import CellModeller.gui.renderers
-from CellModeller import Simulator
+from CellModeller import simulator
 from CellModeller.gui.py_gl_cm_viewer import PyGLCMViewer, RenderInfo
 from pkg_resources import resource_stream
 
diff --git a/Scripts/batch.py b/Scripts/batch.py
index c63223a3..6d618d2f 100644
--- a/Scripts/batch.py
+++ b/Scripts/batch.py
@@ -4,7 +4,7 @@
 import string
 import shutil
 
-from CellModeller.Simulator import Simulator
+from CellModeller.simulator import Simulator
 
 max_cells = 50000
 cell_buffer = 256
diff --git a/Scripts/batchFile.py b/Scripts/batchFile.py
index 50472678..5b11c171 100644
--- a/Scripts/batchFile.py
+++ b/Scripts/batchFile.py
@@ -6,7 +6,7 @@
 import time
 from exceptions import OSError
 
-from CellModeller.Simulator import Simulator
+from CellModeller.simulator import Simulator
 
 sys.path.append('./')
 
diff --git a/Scripts/batch_iter.py b/Scripts/batch_iter.py
index 9807ccc1..05611dab 100644
--- a/Scripts/batch_iter.py
+++ b/Scripts/batch_iter.py
@@ -4,7 +4,7 @@
 import string
 import shutil
 
-from CellModeller.Simulator import Simulator
+from CellModeller.simulator import Simulator
 
 sys.path.append('../../Models')
 
diff --git a/Scripts/contactGraph.py b/Scripts/contactGraph.py
index 2c38ccbd..b57f7e3a 100644
--- a/Scripts/contactGraph.py
+++ b/Scripts/contactGraph.py
@@ -7,7 +7,7 @@
 import subprocess
 import string
 import shutil
-from CellModeller.Simulator import Simulator
+from CellModeller.simulator import Simulator
 import networkx
 from reportlab.pdfgen.canvas import Canvas
 from reportlab.lib import units
diff --git a/Scripts/multi_batch.py b/Scripts/multi_batch.py
index 781ca5aa..c0cba510 100644
--- a/Scripts/multi_batch.py
+++ b/Scripts/multi_batch.py
@@ -4,7 +4,7 @@
 import string
 import shutil
 
-from CellModeller.Simulator import Simulator
+from CellModeller.simulator import Simulator
 
 max_cells = 100000
 cell_buffer = 256

From b4b4b3de6d0f70abb3396d3e6e1307befca46542 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 16:06:21 +0200
Subject: [PATCH 11/13] changed file names inside Scripts/

---
 Scripts/{batchFile.py => batch_file.py}              | 0
 Scripts/{CellModellerGUI.py => cell_modeller_gui.py} | 0
 Scripts/{contactGraph.py => contact_graph.py}        | 0
 Scripts/{contactVideo.sh => contact_video.sh}        | 2 +-
 Scripts/{Draw2DPDF.py => draw_2d_pdf.py}             | 0
 Scripts/{gitPublish.sh => git_publish.sh}            | 0
 Scripts/{LengthHistogram.py => length_histogram.py}  | 0
 Scripts/{printTiming.py => print_timing.py}          | 0
 Scripts/video.sh                                     | 2 +-
 9 files changed, 2 insertions(+), 2 deletions(-)
 rename Scripts/{batchFile.py => batch_file.py} (100%)
 rename Scripts/{CellModellerGUI.py => cell_modeller_gui.py} (100%)
 rename Scripts/{contactGraph.py => contact_graph.py} (100%)
 rename Scripts/{contactVideo.sh => contact_video.sh} (91%)
 rename Scripts/{Draw2DPDF.py => draw_2d_pdf.py} (100%)
 rename Scripts/{gitPublish.sh => git_publish.sh} (100%)
 rename Scripts/{LengthHistogram.py => length_histogram.py} (100%)
 rename Scripts/{printTiming.py => print_timing.py} (100%)

diff --git a/Scripts/batchFile.py b/Scripts/batch_file.py
similarity index 100%
rename from Scripts/batchFile.py
rename to Scripts/batch_file.py
diff --git a/Scripts/CellModellerGUI.py b/Scripts/cell_modeller_gui.py
similarity index 100%
rename from Scripts/CellModellerGUI.py
rename to Scripts/cell_modeller_gui.py
diff --git a/Scripts/contactGraph.py b/Scripts/contact_graph.py
similarity index 100%
rename from Scripts/contactGraph.py
rename to Scripts/contact_graph.py
diff --git a/Scripts/contactVideo.sh b/Scripts/contact_video.sh
similarity index 91%
rename from Scripts/contactVideo.sh
rename to Scripts/contact_video.sh
index 08f409dd..09ef0233 100755
--- a/Scripts/contactVideo.sh
+++ b/Scripts/contact_video.sh
@@ -7,7 +7,7 @@
 # Run Draw2DPDF to generate pdf files
 for f in $( ls *.pickle ); do
     echo Processing: $f
-    $CMPATH/bin/cmpython $CMPATH/Scripts/contactGraph.py $f
+    $CMPATH/bin/cmpython $CMPATH/Scripts/contact_graph.py $f
 done
 
 # Convert and resize etc. pdf files into jpegs
diff --git a/Scripts/Draw2DPDF.py b/Scripts/draw_2d_pdf.py
similarity index 100%
rename from Scripts/Draw2DPDF.py
rename to Scripts/draw_2d_pdf.py
diff --git a/Scripts/gitPublish.sh b/Scripts/git_publish.sh
similarity index 100%
rename from Scripts/gitPublish.sh
rename to Scripts/git_publish.sh
diff --git a/Scripts/LengthHistogram.py b/Scripts/length_histogram.py
similarity index 100%
rename from Scripts/LengthHistogram.py
rename to Scripts/length_histogram.py
diff --git a/Scripts/printTiming.py b/Scripts/print_timing.py
similarity index 100%
rename from Scripts/printTiming.py
rename to Scripts/print_timing.py
diff --git a/Scripts/video.sh b/Scripts/video.sh
index 9e269fae..feb681c7 100755
--- a/Scripts/video.sh
+++ b/Scripts/video.sh
@@ -7,7 +7,7 @@
 # Run Draw2DPDF to generate pdf files
 for f in $( ls *.pickle ); do
     echo Processing: $f
-    python $HOME/Code/CellModeller/Scripts/Draw2DPDF.py $f
+    python $HOME/Code/CellModeller/Scripts/draw_2d_pdf.py $f
 done
 
 # Convert and resize etc. pdf files into jpegs

From 10ca70da28b310a0a41b2eea2794d882c2025b84 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 20:04:53 +0200
Subject: [PATCH 12/13] removed pycache and build artifacts from tracking

---
 CellModeller.egg-info/PKG-INFO                |  15 ---------------
 CellModeller.egg-info/SOURCES.txt             |  18 ------------------
 CellModeller.egg-info/dependency_links.txt    |   1 -
 CellModeller.egg-info/requires.txt            |   9 ---------
 CellModeller.egg-info/top_level.txt           |   1 -
 .../ModuleRegulator.cpython-311.pyc           | Bin 4045 -> 0 bytes
 .../__pycache__/SBMLImport.cpython-311.pyc    | Bin 13047 -> 0 bytes
 .../__pycache__/__init__.cpython-311.pyc      | Bin 144 -> 0 bytes
 .../__pycache__/CellState.cpython-311.pyc     | Bin 822 -> 0 bytes
 .../__pycache__/Simulator.cpython-311.pyc     | Bin 19970 -> 0 bytes
 .../__pycache__/__init__.cpython-311.pyc      | Bin 170 -> 0 bytes
 .../__pycache__/PyGLCMViewer.cpython-311.pyc  | Bin 19309 -> 0 bytes
 .../__pycache__/PyGLWidget.cpython-311.pyc    | Bin 20224 -> 0 bytes
 .../gui/__pycache__/Renderers.cpython-311.pyc | Bin 84547 -> 0 bytes
 .../gui/__pycache__/__init__.cpython-311.pyc  | Bin 137 -> 0 bytes
 .../CellModellerGUI.cpython-311.pyc           | Bin 1644 -> 0 bytes
 Scripts/__pycache__/Draw2DPDF.cpython-311.pyc | Bin 12185 -> 0 bytes
 .../LengthHistogram.cpython-311.pyc           | Bin 2884 -> 0 bytes
 Scripts/__pycache__/batch.cpython-311.pyc     | Bin 3313 -> 0 bytes
 Scripts/__pycache__/batchFile.cpython-311.pyc | Bin 2819 -> 0 bytes
 .../__pycache__/batch_iter.cpython-311.pyc    | Bin 1409 -> 0 bytes
 .../__pycache__/contactGraph.cpython-311.pyc  | Bin 10109 -> 0 bytes
 .../__pycache__/multi_batch.cpython-311.pyc   | Bin 3365 -> 0 bytes
 .../__pycache__/printTiming.cpython-311.pyc   | Bin 1063 -> 0 bytes
 .../spatial_analyze.cpython-311.pyc           | Bin 2639 -> 0 bytes
 25 files changed, 44 deletions(-)
 delete mode 100644 CellModeller.egg-info/PKG-INFO
 delete mode 100644 CellModeller.egg-info/SOURCES.txt
 delete mode 100644 CellModeller.egg-info/dependency_links.txt
 delete mode 100644 CellModeller.egg-info/requires.txt
 delete mode 100644 CellModeller.egg-info/top_level.txt
 delete mode 100644 CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc
 delete mode 100644 CellModeller/Regulation/__pycache__/SBMLImport.cpython-311.pyc
 delete mode 100644 CellModeller/Regulation/__pycache__/__init__.cpython-311.pyc
 delete mode 100644 CellModeller/__pycache__/CellState.cpython-311.pyc
 delete mode 100644 CellModeller/__pycache__/Simulator.cpython-311.pyc
 delete mode 100644 CellModeller/__pycache__/__init__.cpython-311.pyc
 delete mode 100644 CellModeller/gui/__pycache__/PyGLCMViewer.cpython-311.pyc
 delete mode 100644 CellModeller/gui/__pycache__/PyGLWidget.cpython-311.pyc
 delete mode 100644 CellModeller/gui/__pycache__/Renderers.cpython-311.pyc
 delete mode 100644 CellModeller/gui/__pycache__/__init__.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/CellModellerGUI.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/Draw2DPDF.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/LengthHistogram.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/batch.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/batchFile.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/batch_iter.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/contactGraph.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/multi_batch.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/printTiming.cpython-311.pyc
 delete mode 100644 Scripts/__pycache__/spatial_analyze.cpython-311.pyc

diff --git a/CellModeller.egg-info/PKG-INFO b/CellModeller.egg-info/PKG-INFO
deleted file mode 100644
index 7500a937..00000000
--- a/CellModeller.egg-info/PKG-INFO
+++ /dev/null
@@ -1,15 +0,0 @@
-Metadata-Version: 2.4
-Name: CellModeller
-Version: 4.5.0+2.sha62325df
-Requires-Python: >=3
-Requires-Dist: numpy
-Requires-Dist: scipy
-Requires-Dist: pyopengl
-Requires-Dist: mako
-Requires-Dist: pyqt5
-Requires-Dist: pyopencl
-Requires-Dist: reportlab
-Requires-Dist: matplotlib
-Requires-Dist: setuptools<82,>=70
-Dynamic: requires-dist
-Dynamic: requires-python
diff --git a/CellModeller.egg-info/SOURCES.txt b/CellModeller.egg-info/SOURCES.txt
deleted file mode 100644
index 9a1152b3..00000000
--- a/CellModeller.egg-info/SOURCES.txt
+++ /dev/null
@@ -1,18 +0,0 @@
-README.md
-setup.py
-CellModeller/CellState.py
-CellModeller/Simulator.py
-CellModeller/__init__.py
-CellModeller.egg-info/PKG-INFO
-CellModeller.egg-info/SOURCES.txt
-CellModeller.egg-info/dependency_links.txt
-CellModeller.egg-info/requires.txt
-CellModeller.egg-info/top_level.txt
-CellModeller/Regulation/ModuleRegulator.py
-CellModeller/Regulation/SBMLImport.py
-CellModeller/Regulation/__init__.py
-CellModeller/gui/PyGLCMViewer.py
-CellModeller/gui/PyGLGUI.ui
-CellModeller/gui/PyGLWidget.py
-CellModeller/gui/Renderers.py
-CellModeller/gui/__init__.py
\ No newline at end of file
diff --git a/CellModeller.egg-info/dependency_links.txt b/CellModeller.egg-info/dependency_links.txt
deleted file mode 100644
index 8b137891..00000000
--- a/CellModeller.egg-info/dependency_links.txt
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/CellModeller.egg-info/requires.txt b/CellModeller.egg-info/requires.txt
deleted file mode 100644
index ecf2d538..00000000
--- a/CellModeller.egg-info/requires.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-numpy
-scipy
-pyopengl
-mako
-pyqt5
-pyopencl
-reportlab
-matplotlib
-setuptools<82,>=70
diff --git a/CellModeller.egg-info/top_level.txt b/CellModeller.egg-info/top_level.txt
deleted file mode 100644
index 6d0b89e7..00000000
--- a/CellModeller.egg-info/top_level.txt
+++ /dev/null
@@ -1 +0,0 @@
-CellModeller
diff --git a/CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc b/CellModeller/Regulation/__pycache__/ModuleRegulator.cpython-311.pyc
deleted file mode 100644
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From 547849323d95653b2afff1fb910bb52bc7b07376 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Guillermo=20Y=C3=A1=C3=B1ez?= <gyanezfeliu@gmail.com>
Date: Thu, 8 Oct 2026 20:06:55 +0200
Subject: [PATCH 13/13] removed simulation output from tracking

---
 .../ex1_simpleGrowth                          |  59 ------------------
 .../ex1_simpleGrowth                          |  59 ------------------
 .../step-00000.pickle                         | Bin 2726 -> 0 bytes
 .../ex1_simpleGrowth                          |  59 ------------------
 .../ex1_simpleGrowth                          |  59 ------------------
 .../ex1_simpleGrowth                          |  59 ------------------
 .../ex1_simpleGrowth                          |  59 ------------------
 7 files changed, 354 deletions(-)
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
 delete mode 100644 data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth

diff --git a/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
deleted file mode 100644
index 3677a166..00000000
--- a/data/ex1_simpleGrowth-26-10-08-10-39/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation.ModuleRegulator import ModuleRegulator
-from cmcomponents.biophysics.BacterialModels.CLBacterium import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
deleted file mode 100644
index 76aab0d4..00000000
--- a/data/ex1_simpleGrowth-26-10-08-12-24/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation.ModuleRegulator import ModuleRegulator
-from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle b/data/ex1_simpleGrowth-26-10-08-12-24/step-00000.pickle
deleted file mode 100644
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diff --git a/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
deleted file mode 100644
index d34a3128..00000000
--- a/data/ex1_simpleGrowth-26-10-08-12-47/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation.module_regulator import ModuleRegulator
-from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
deleted file mode 100644
index d34a3128..00000000
--- a/data/ex1_simpleGrowth-26-10-08-13-54/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation.module_regulator import ModuleRegulator
-from cmcomponents.biophysics.bacterial_models.cl_bacterium import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
deleted file mode 100644
index 46936aac..00000000
--- a/data/ex1_simpleGrowth-26-10-08-14-28/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation import ModuleRegulator
-from cmcomponents.biophysics.bacterial_models import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.GUI import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-
diff --git a/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth b/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth
deleted file mode 100644
index f5119d4d..00000000
--- a/data/ex1_simpleGrowth-26-10-08-15-36/ex1_simpleGrowth
+++ /dev/null
@@ -1,59 +0,0 @@
-import random
-from cmcomponents.regulation import ModuleRegulator
-from cmcomponents.biophysics.bacterial_models import CLBacterium
-import numpy
-import math
-
-cell_cols = {0:[0,1.0,0], 1:[1.0,0,0]}
-outfile = 'all.csv'
-
-def setup(sim):
-    # Set biophysics, signalling, and regulation models
-    biophys = CLBacterium(sim, jitter_z=False, max_cells=100000, gamma=100.)
-
-    # use this file for reg too
-    regul = ModuleRegulator(sim, sim.moduleName)	
-    # Only biophys and regulation
-    sim.init(biophys, regul, None, None)
- 
-    # Specify the initial cell and its location in the simulation
-    sim.addCell(cellType=0, pos=(0,0,0), dir=(1,0,0))
-
-    # Add some objects to draw the models
-    #if sim.is_gui:
-    from CellModeller.gui import Renderers
-    therenderer = Renderers.GLBacteriumRenderer(sim)
-    sim.addRenderer(therenderer)
-    #else:
-    #    print("Running in batch mode: no display will be output")
-
-    sim.pickleSteps = 100
-    sim.saveOutput = True
-
-def init(cell):
-    # Specify mean and distribution of initial cell size
-    cell.targetVol = 3.5 + random.uniform(0.0,0.5)
-    # Specify growth rate of cells
-    cell.growthRate = 1.0
-    cell.color = cell_cols[cell.cellType]
-
-def update(cells):
-    #Iterate through each cell and flag cells that reach target size for division
-    for (id, cell) in cells.items():
-        if cell.volume > cell.targetVol:
-            cell.divideFlag = True
-
-        gr = cell.strainRate/0.05
-        cgr = gr - 0.5
-        # Return value is tuple of colors, (fill, stroke)
-        #if cgr>0:
-        #    cell.color = [1, 1-cgr*2, 1-cgr*2]
-        #else:
-        #    cell.color = [1+cgr*2, 1+cgr*2, 1]
-
-
-def divide(parent, d1, d2):
-    # Specify target cell size that triggers cell division
-    d1.targetVol = 3.5 + random.uniform(0.0,0.5)
-    d2.targetVol = 3.5 + random.uniform(0.0,0.5)
-