Changeset b297ba9 in sasmodels for sasmodels/models/pearl_necklace.py

Timestamp:

Mar 20, 2019 7:03:50 PM (5 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:

4e28511

Parents:

0d362b7

Message:

lint

File:

• sasmodels/models/pearl_necklace.py (modified) (3 diffs)

sasmodels/models/pearl_necklace.py

@@ -53 +53 @@
 R Schweins and K Huber, *Particle Scattering Factor of Pearl Necklace Chains*,
 *Macromol. Symp.* 211 (2004) 25-42 2004
-L. Onsager, Ann. New York Acad. Sci. 51, 627-659 (1949). 
+L. Onsager, Ann. New York Acad. Sci. 51, 627-659 (1949).
 """
 
 import numpy as np
-from numpy import inf, pi
+from numpy import inf
 
 name = "pearl_necklace"
@@ -96 +96 @@
 source = ["lib/sas_Si.c", "lib/sas_3j1x_x.c", "pearl_necklace.c"]
 single = False  # use double precision unless told otherwise
-effective_radius_type = [
-    "equivalent volume sphere", 
-    ]
-    
+effective_radius_type = ["equivalent volume sphere"]
+
 def random():
+    """Return a random parameter set for the model."""
     radius = 10**np.random.uniform(1, 3) # 1 - 1000
     thick_string = 10**np.random.uniform(0, np.log10(radius)-1) # 1 - radius/10
@@ -122 +121 @@
             thick_string_pd=0.2, thick_string_pd_n=5,
            )
-# ER function is not being used here, not that it is likely very sensible to 
-# include an S(Q) with this model, the default in sasview 5.0 would be to the 
+# ER function is not being used here, not that it is likely very sensible to
+# include an S(Q) with this model, the default in sasview 5.0 would be to the
 # "unconstrained" radius_effective.
 #tests = [[{}, 0.001, 17380.245], [{}, 'ER', 115.39502]]