Refactor jumpavg to be more readable and usable

[csit.git] / PyPI / jumpavg / jumpavg / BitCountingClassifier.py

diff --git a/PyPI/jumpavg/jumpavg/BitCountingClassifier.py b/PyPI/jumpavg/jumpavg/BitCountingClassifier.py
deleted file mode 100644 (file)
index 9a72319..0000000
--- a/PyPI/jumpavg/jumpavg/BitCountingClassifier.py
+++ /dev/null
@@ -1,70 +0,0 @@
-# Copyright (c) 2018 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:
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Module holding BitCountingClassifier class.
-
-This is the main class to be used by callers."""
-
-from AbstractGroupClassifier import AbstractGroupClassifier
-from BitCountingGroup import BitCountingGroup
-from BitCountingGroupList import BitCountingGroupList
-from BitCountingMetadataFactory import BitCountingMetadataFactory
-from ClassifiedMetadataFactory import ClassifiedMetadataFactory
-
-
-class BitCountingClassifier(AbstractGroupClassifier):
-    """Classifier using Minimal Description Length principle."""
-
-    def classify(self, values):
-        """Return the values in groups of optimal bit count.
-
-        The current implementation could be a static method,
-        but we might support options in later versions,
-        for example for chosing encodings.
-
-        :param values: Sequence of runs to classify.
-        :type values: Iterable of float or of AvgStdevMetadata
-        :returns: Classified group list.
-        :rtype: BitCountingGroupList
-        """
-        max_value = BitCountingMetadataFactory.find_max_value(values)
-        factory = BitCountingMetadataFactory(max_value)
-        opened_at = []
-        closed_before = [BitCountingGroupList()]
-        for index, value in enumerate(values):
-            singleton = BitCountingGroup(factory, [value])
-            newly_opened = closed_before[index].with_group_appended(singleton)
-            opened_at.append(newly_opened)
-            record_group_list = newly_opened
-            for previous in range(index):
-                previous_opened_list = opened_at[previous]
-                still_opened = (
-                    previous_opened_list.with_value_added_to_last_group(value))
-                opened_at[previous] = still_opened
-                if still_opened.bits < record_group_list.bits:
-                    record_group_list = still_opened
-            closed_before.append(record_group_list)
-        partition = closed_before[-1]
-        previous_average = partition[0].metadata.avg
-        for group in partition:
-            if group.metadata.avg == previous_average:
-                group.metadata = ClassifiedMetadataFactory.with_classification(
-                    group.metadata, "normal")
-            elif group.metadata.avg < previous_average:
-                group.metadata = ClassifiedMetadataFactory.with_classification(
-                    group.metadata, "regression")
-            elif group.metadata.avg > previous_average:
-                group.metadata = ClassifiedMetadataFactory.with_classification(
-                    group.metadata, "progression")
-            previous_average = group.metadata.avg
-        return partition