Repository: PMEAL/porespy

Issue:
Add a clearance argument to RSA

Discussion:

Patch:
diff --git a/examples/generators/RSA.ipynb b/examples/generators/RSA.ipynb
index 6dfc999f7..50b8c8c12 100644
--- a/examples/generators/RSA.ipynb
+++ b/examples/generators/RSA.ipynb
@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -40,45 +40,46 @@
       "RSA: Adding spheres of size 15\n",
       "Initial volume fraction: 0.0\n",
       "Dilating foreground features by sphere radius\n",
+      "Regenerating free_sites after 21 iterations\n",
       "Regenerating free_sites after 27 iterations\n",
-      "Regenerating free_sites after 28 iterations\n",
-      "Number of spheres inserted: 28\n",
-      "Final volume fraction: 0.4879\n",
+      "Number of spheres inserted: 27\n",
+      "Final volume fraction: 0.470475\n",
       "--------------------------------------------------------------------------------\n",
       "RSA: Adding spheres of size 10\n",
-      "Initial volume fraction: 0.4879\n",
+      "Initial volume fraction: 0.470475\n",
       "Dilating foreground features by sphere radius\n",
-      "Regenerating free_sites after 13 iterations\n",
-      "Number of spheres inserted: 14\n",
-      "Final volume fraction: 0.59465\n"
+      "Regenerating free_sites after 16 iterations\n",
+      "Regenerating free_sites after 22 iterations\n",
+      "Number of spheres inserted: 22\n",
+      "Final volume fraction: 0.638225\n"
      ]
     }
    ],
    "source": [
     "# NBVAL_IGNORE_OUTPUT\n",
     "im = np.zeros([200, 200])\n",
-    "im = ps.generators.RSA(im=im, radius=15)\n",
-    "im = ps.generators.RSA(im=im, radius=10)"
+    "im = ps.generators.RSA(im, radius=15)\n",
+    "im = ps.generators.RSA(im, radius=10)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x28be01af7f0>"
+       "<matplotlib.image.AxesImage at 0x1ea19aa21f0>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -97,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -106,27 +107,27 @@
      "text": [
       "--------------------------------------------------------------------------------\n",
       "RSA: Adding spheres of size 6\n",
-      "Initial volume fraction: 0.5065\n",
+      "Initial volume fraction: 0.513475\n",
       "Dilating foreground features by sphere radius\n",
-      "Regenerating free_sites after 43 iterations\n",
-      "Regenerating free_sites after 60 iterations\n",
-      "Number of spheres inserted: 62\n",
-      "Final volume fraction: 0.67545\n"
+      "Regenerating free_sites after 48 iterations\n",
+      "Regenerating free_sites after 67 iterations\n",
+      "Number of spheres inserted: 67\n",
+      "Final volume fraction: 0.69605\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x28be21c13c8>"
+       "<matplotlib.image.AxesImage at 0x1ea19f7b7c0>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -140,7 +141,7 @@
    "source": [
     "# NBVAL_IGNORE_OUTPUT\n",
     "im = ps.generators.blobs(shape=[200, 200])\n",
-    "im_with_spheres = ps.generators.RSA(im=im, radius=6)\n",
+    "im_with_spheres = ps.generators.RSA(im, radius=6)\n",
     "plt.figure(figsize=[6, 6])\n",
     "plt.imshow(im_with_spheres + 0.5*im)"
    ]
@@ -162,9 +163,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/porespy/generators/__imgen__.py b/porespy/generators/__imgen__.py
index 24fb71ffb..e816fabe6 100644
--- a/porespy/generators/__imgen__.py
+++ b/porespy/generators/__imgen__.py
@@ -91,41 +91,39 @@ def insert_shape(im, element, center=None, corner=None, value=1, mode="overwrite
     return im
 
 
-def RSA(im: array,
+def RSA(im_or_shape: array,
         radius: int,
         volume_fraction: int = 1,
+        clearance: int = 0,
         n_max: int = None,
-        mode: str = "contained"):
+        mode: str = "contained",
+        return_spheres: bool = False,
+        smooth: bool = True,
+        ):
     r"""
     Generates a sphere or disk packing using Random Sequential Addition
 
-    This algorithm ensures that spheres do not overlap but does not
-    guarantee they are tightly packed.
-
-    This function adds spheres to the background of the received ``im``, which
-    allows iteratively adding spheres of different radii to the unfilled space,
-    be repeatedly passing in the result of previous calls to RSA.
-
     Parameters
     ----------
-    im : ND-array
-        The image into which the spheres should be inserted.  By accepting an
-        image rather than a shape, it allows users to insert spheres into an
-        already existing image.  To begin the process, start with an array of
-        zeros such as ``im = np.zeros([200, 200, 200], dtype=bool)``.
+    im_or_shape : ND-array or list
+        To provide flexibility, this argument accepts either an image into
+        which the spheres are inserted, or a shape which is used to create an
+        empty image.  In both cases the spheres are added as ``True`` values
+        to the background.  Since ``True`` is considered the pore space, then
+        the added spheres represent holes.
     radius : int
         The radius of the disk or sphere to insert.
     volume_fraction : scalar (default is 1.0)
         The fraction of the image that should be filled with spheres.  The
-        spheres are added as 1's, so each sphere addition increases the
-        ``volume_fraction`` until the specified limit is reach.  Note that if
+        spheres are added as ``True``'s, so each sphere addition increases the
+        ``volume_fraction`` until the specified limit is reached.  Note that if
         ``n_max`` is reached first, then ``volume_fraction`` will not be
-        acheived.
+        acheived.  Also, ``volume_fraction`` is not counted correctly if the
+        ``mode`` is ``'extended'``.
     n_max : int (default is 10,000)
-        The maximum number of spheres to add.  By default the value of
-        ``n_max`` is high so that the addition of spheres will go indefinately
-        until ``volume_fraction`` is met, but specifying a smaller value
-        will halt addition after the given number of spheres are added.
+        The maximum number of spheres to add.  Using a low value may halt
+        the addition process prior to reaching the specified
+        ``volume_fraction``.
     mode : string (default is 'contained')
         Controls how the edges of the image are handled.  Options are:
 
@@ -135,21 +133,27 @@ def RSA(im: array,
         image.  In this mode the volume fraction will be less that requested
         since some spheres extend beyond the image, but their entire volume
         is counted as added for computational efficiency.
+    return_spheres : bool
+        If ``True`` then an image containing only the spheres is returned
+        rather than the input image with the spheres added, which is the
+        default behavior.
+    smooth : bool
+        Indicates whether balls should have smooth faces (``True``) or should
+        include the bumps on the extremities (``False``).
 
     Returns
     -------
     image : ND-array
-        A handle to the input ``im`` with spheres of specified radius
-        *added* to the background.
+        An image with spheres of specified radius *added* to the background.
 
     Notes
     -----
-    This function uses Numba to speed up the search for valid sphere insertion
-    points.  It seems that Numba does not look at the state of the scipy
-    random number generator, so setting the seed to a known value has no
-    effect on the output of this function. Each call to this function will
-    produce a unique image.  If you wish to use the same realization multiple
-    times you must save the array (e.g. ``numpy.save``).
+    This algorithm ensures that spheres do not overlap but does not
+    guarantee they are tightly packed.
+
+    This function adds spheres to the background of the received ``im``, which
+    allows iteratively adding spheres of different radii to the unfilled space
+    by repeatedly passing in the result of previous calls to RSA.
 
     References
     ----------
@@ -158,18 +162,24 @@ def RSA(im: array,
     """
     print(80 * "-")
     print(f"RSA: Adding spheres of size {radius}")
+    if len(im_or_shape) <= 3:
+        im = np.zeros(shape=im_or_shape, dtype=bool)
+    else:
+        im = im_or_shape
     im = im.astype(bool)
+    if return_spheres:
+        im_temp = np.copy(im)
     if n_max is None:
         n_max = 10000
     vf_final = volume_fraction
     vf_start = im.sum() / im.size
     print("Initial volume fraction:", vf_start)
     if im.ndim == 2:
-        template_lg = ps_disk(radius * 2)
-        template_sm = ps_disk(radius)
+        template_lg = ps_disk((radius + clearance) * 2)
+        template_sm = ps_disk(radius, smooth=smooth)
     else:
-        template_lg = ps_ball(radius * 2)
-        template_sm = ps_ball(radius)
+        template_lg = ps_ball((radius + clearance) * 2)
+        template_sm = ps_ball(radius, smooth=smooth)
     vf_template = template_sm.sum() / im.size
     # Pad image by the radius of large template to enable insertion near edges
     im = np.pad(im, pad_width=2 * radius, mode="edge")
@@ -202,7 +212,8 @@ def RSA(im: array,
         if all(np.array(c) == -1):
             break
         s_sm = tuple([slice(x - radius, x + radius + 1, None) for x in c])
-        s_lg = tuple([slice(x - 2 * radius, x + 2 * radius + 1, None) for x in c])
+        s_lg = tuple([slice(x - 2 * (radius + clearance),
+                            x + 2 * (radius + clearance) + 1, None) for x in c])
         im[s_sm] += template_sm  # Add ball to image
         options_im[s_lg][template_lg] = False  # Update extended region
         vf += vf_template
@@ -214,6 +225,8 @@ def RSA(im: array,
     im = im[s]
     vf = im.sum() / im.size
     print("Final volume fraction:", vf)
+    if return_spheres:
+        im = im * (~im_temp)
     return im
 
 


Test patch:
diff --git a/test/unit/test_filters.py b/test/unit/test_filters.py
index 5239b18ae..10b3215ec 100644
--- a/test/unit/test_filters.py
+++ b/test/unit/test_filters.py
@@ -246,8 +246,8 @@ class FilterTest():
 
     def test_local_thickness_known_sizes(self):
         im = np.zeros(shape=[300, 300])
-        im = ps.generators.RSA(im=im, radius=20)
-        im = ps.generators.RSA(im=im, radius=10)
+        im = ps.generators.RSA(im, radius=20)
+        im = ps.generators.RSA(im, radius=10)
         im = im > 0
         lt = ps.filters.local_thickness(im, sizes=[20, 10])
         assert np.all(np.unique(lt) == [0, 10, 20])
diff --git a/test/unit/test_generators.py b/test/unit/test_generators.py
index ef5a147d6..5f2929a68 100644
--- a/test/unit/test_generators.py
+++ b/test/unit/test_generators.py
@@ -272,6 +272,20 @@ class GeneratorTest():
         phi2 = im.sum()/im.size
         assert phi2 == phi1
 
+    def test_RSA_shape(self):
+        rsa = ps.generators.RSA(im_or_shape=[200, 200], radius=10)
+        assert np.all(rsa.shape == (200, 200))
+
+    def test_RSA_clearance(self):
+        np.random.seed(0)
+        rsa0 = ps.generators.RSA(im_or_shape=[200, 200], radius=9, clearance=0)
+        np.random.seed(0)
+        rsa2p = ps.generators.RSA(im_or_shape=[200, 200], radius=9, clearance=2)
+        assert rsa0.sum() > rsa2p.sum()
+        np.random.seed(0)
+        rsa1n = ps.generators.RSA(im_or_shape=[200, 200], radius=9, clearance=-1)
+        assert rsa0.sum() < rsa1n.sum()
+
     def test_line_segment(self):
         X0 = [3, 4]
         X1 = [5, 9]