Merged in [18020] from rjsparks@nostrum.com:

Construct Faker objects used for person name generation only once. Results in a roughly 20% speedup of the test-suite.
 - Legacy-Id: 18023
Note: SVN reference [18020] has been migrated to Git commit c60cc1b1a0

ietf/person/factories.py

@@ -24,14 +24,20 @@ from ietf.person.name import normalize_name, unidecode_name
 
 fake = faker.Factory.create()
 
-def random_faker():
+def setup():
+    global acceptable_fakers
     # The transliteration of some arabic and devanagari names introduces
     # non-alphabetic characgters that don't work with the draft author
     # extraction code, and also don't seem to match the way people with arabic
     # names romanize arabic names.  Exlude those locales from name generation
     # in order to avoid test failures.
     locales = set( [ l for l in faker.config.AVAILABLE_LOCALES if not (l.startswith('ar_') or l.startswith('sg_')) ] )
-    return faker.Faker(random.sample(locales, 1)[0])
+    acceptable_fakers = [faker.Faker(locale) for locale in locales]
+setup()
+
+def random_faker():
+    global acceptable_fakers
+    return random.sample(acceptable_fakers, 1)[0]
 
 class UserFactory(factory.DjangoModelFactory):
     class Meta: