Changeset 2d81cfe in sasmodels for sasmodels/models/sc_paracrystal.py

Timestamp:

Nov 29, 2017 11:13:23 AM (6 years ago)

Author:

Paul Kienzle <pkienzle@…>

Branches:

master, core_shell_microgels, magnetic_model, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests

Children:

237b800f

Parents:

a839b22

Message:

lint

File:

• sasmodels/models/sc_paracrystal.py (modified) (4 diffs)

sasmodels/models/sc_paracrystal.py

@@ -23 +23 @@
 equations (13)-(15) from the 1987 paper for Z1, Z2, and Z3.
 
-The lattice correction (the occupied volume of the lattice) for a simple
-cubic structure of particles of radius *R* and nearest neighbor separation *D* is
+The lattice correction (the occupied volume of the lattice) for a simple cubic
+structure of particles of radius *R* and nearest neighbor separation *D* is
 
 .. math::
@@ -73 +73 @@
     carried out with a high density of points to properly capture the sharp
     peaks of the paracrystalline scattering.
-    So be warned that the calculation is slow. Fitting of any experimental data 
-    must be resolution smeared for any meaningful fit. This makes a triple integral
-    which may be very slow.
+    So be warned that the calculation is slow. Fitting of any experimental data
+    must be resolution smeared for any meaningful fit. This makes a triple
+    integral which may be very slow.
 
 The 2D (Anisotropic model) is based on the reference below where *I(q)* is
 approximated for 1d scattering. Thus the scattering pattern for 2D may not
-be accurate particularly at low $q$. For general details of the calculation 
+be accurate particularly at low $q$. For general details of the calculation
 and angular dispersions for oriented particles see :ref:`orientation` .
 Note that we are not responsible for any incorrectness of the
@@ -96 +96 @@
 Hideki Matsuoka et. al. *Physical Review B,* 41 (1990) 3854 -3856
 (Corrections to FCC and BCC lattice structure calculation)
-
 """
 
+import numpy as np
 from numpy import inf
 
@@ -140 +140 @@
 
 def random():
-    import numpy as np
     # copied from bcc_paracrystal
     radius = 10**np.random.uniform(1.3, 4)