feat(jumpavg): speed up, use Python 3.8 features
[csit.git] / resources / libraries / python / jumpavg / classify.py
index 252c71e..87d2502 100644 (file)
@@ -1,4 +1,4 @@
-# Copyright (c) 2021 Cisco and/or its affiliates.
+# Copyright (c) 2022 Cisco and/or its affiliates.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at:
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at:
@@ -20,15 +20,20 @@ for grouping results into the list of groups,
 assuming each group is a population of different Gaussian distribution.
 """
 
 assuming each group is a population of different Gaussian distribution.
 """
 
+import typing
+
 from .AvgStdevStats import AvgStdevStats
 from .BitCountingGroupList import BitCountingGroupList
 
 
 from .AvgStdevStats import AvgStdevStats
 from .BitCountingGroupList import BitCountingGroupList
 
 
-def classify(values):
+def classify(
+    values: typing.Iterable[typing.Union[float, typing.Iterable[float]]]
+) -> BitCountingGroupList:
     """Return the values in groups of optimal bit count.
 
     Here, a value is either a float, or an iterable of floats.
     Such iterables represent an undivisible sequence of floats.
     """Return the values in groups of optimal bit count.
 
     Here, a value is either a float, or an iterable of floats.
     Such iterables represent an undivisible sequence of floats.
+    Int is accepted anywhere instead of float.
 
     Internally, such sequence is replaced by AvgStdevStats
     after maximal value is found.
 
     Internally, such sequence is replaced by AvgStdevStats
     after maximal value is found.
@@ -50,27 +55,24 @@ def classify(values):
                 if subvalue > max_value:
                     max_value = subvalue
             processed_values.append(AvgStdevStats.for_runs(value))
                 if subvalue > max_value:
                     max_value = subvalue
             processed_values.append(AvgStdevStats.for_runs(value))
-    open_at = list()
-    closed_before = [BitCountingGroupList(max_value=max_value)]
-    for index, value in enumerate(processed_values):
-        newly_open = closed_before[index].copy()
-        newly_open.append_group_of_runs([value])
-        open_at.append(newly_open)
-        record_group_list = newly_open
-        for previous_index, old_open in enumerate(open_at[:index]):
-            new_open = old_open.copy().append_run_to_to_last_group(value)
-            open_at[previous_index] = new_open
-            if new_open.bits < record_group_list.bits:
-                record_group_list = new_open
-        closed_before.append(record_group_list)
-    partition = closed_before[-1]
-    previous_average = partition[0].stats.avg
-    for group in partition:
+    # Glist means group list (BitCountingGroupList).
+    open_glists = list()
+    record_glist = BitCountingGroupList(max_value=max_value)
+    for value in processed_values:
+        new_open_glist = record_glist.copy_fast().append_group_of_runs([value])
+        record_glist = new_open_glist
+        for old_open_glist in open_glists:
+            old_open_glist.append_run_to_to_last_group(value)
+            if old_open_glist.bits < record_glist.bits:
+                record_glist = old_open_glist
+        open_glists.append(new_open_glist)
+    previous_average = record_glist[0].stats.avg
+    for group in record_glist:
         if group.stats.avg == previous_average:
         if group.stats.avg == previous_average:
-            group.comment = u"normal"
+            group.comment = "normal"
         elif group.stats.avg < previous_average:
         elif group.stats.avg < previous_average:
-            group.comment = u"regression"
+            group.comment = "regression"
         elif group.stats.avg > previous_average:
         elif group.stats.avg > previous_average:
-            group.comment = u"progression"
+            group.comment = "progression"
         previous_average = group.stats.avg
         previous_average = group.stats.avg
-    return partition
+    return record_glist