python: Sort imports in smaller apps.

analytics/lib/counts.py

@@ -1,21 +1,21 @@
+import time
+from collections import OrderedDict, defaultdict
+from datetime import datetime, timedelta
+from typing import Any, Callable, Dict, List, \
+    Optional, Text, Tuple, Type, Union
+
 from django.conf import settings
 from django.db import connection, models
 from django.db.models import F
 
-from analytics.models import InstallationCount, RealmCount, \
-    UserCount, StreamCount, BaseCount, FillState, Anomaly, installation_epoch, \
-    last_successful_fill
-from zerver.models import Realm, UserProfile, Message, Stream, \
-    UserActivityInterval, RealmAuditLog, models
-from zerver.lib.timestamp import floor_to_hour, ceiling_to_day, \
-    ceiling_to_hour, verify_UTC
-
-from typing import Any, Callable, Dict, List, Optional, Text, Tuple, Type, Union
-
-from collections import defaultdict, OrderedDict
-from datetime import timedelta, datetime
+from analytics.models import Anomaly, BaseCount, \
+    FillState, InstallationCount, RealmCount, StreamCount, \
+    UserCount, installation_epoch, last_successful_fill
 from zerver.lib.logging_util import create_logger
-import time
+from zerver.lib.timestamp import ceiling_to_day, \
+    ceiling_to_hour, floor_to_hour, verify_UTC
+from zerver.models import Message, Realm, RealmAuditLog, \
+    Stream, UserActivityInterval, UserProfile, models
 
 ## Logging setup ##
 

analytics/lib/fixtures.py

@@ -1,9 +1,9 @@
-from analytics.lib.counts import CountStat
-
 from math import sqrt
 from random import gauss, random, seed
 from typing import List
 
+from analytics.lib.counts import CountStat
+
 def generate_time_series_data(days=100, business_hours_base=10, non_business_hours_base=10,
                               growth=1, autocorrelation=0, spikiness=1, holiday_rate=0,
                               frequency=CountStat.DAY, partial_sum=False, random_seed=26):

analytics/lib/time_utils.py

@@ -1,10 +1,9 @@
-from zerver.lib.timestamp import floor_to_hour, floor_to_day, \
-    verify_UTC
-from analytics.lib.counts import CountStat
-
 from datetime import datetime, timedelta
 from typing import List, Optional
 
+from analytics.lib.counts import CountStat
+from zerver.lib.timestamp import floor_to_day, floor_to_hour, verify_UTC
+
 # If min_length is None, returns end_times from ceiling(start) to floor(end), inclusive.
 # If min_length is greater than 0, pads the list to the left.
 # So informally, time_range(Sep 20, Sep 22, day, None) returns [Sep 20, Sep 21, Sep 22],