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diff --git a/PyPI/jumpavg/jumpavg/BitCountingMetadataFactory.py b/PyPI/jumpavg/jumpavg/BitCountingMetadataFactory.py
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+# 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 BitCountingMetadataFactory class."""
+
+import math
+
+from AvgStdevMetadata import AvgStdevMetadata
+from AvgStdevMetadataFactory import AvgStdevMetadataFactory
+from BitCountingMetadata import BitCountingMetadata
+
+
+class BitCountingMetadataFactory(object):
+    """Class for factory which creates bit counting metadata from data.
+
+    TODO: Summarize the methods?
+    """
+
+    @staticmethod
+    def find_max_value(values):
+        """Return the max value.
+
+        This is a separate helper method,
+        because the whole set of values is usually larger than in from_data().
+
+        :param values: Run values to be processed.
+        :type values: Iterable of float
+        :returns: 0.0 or the biggest value found.
+        :rtype: float
+        """
+        max_value = 0.0
+        for value in values:
+            if isinstance(value, AvgStdevMetadata):
+                value = value.avg
+            if value > max_value:
+                max_value = value
+        return max_value
+
+    def __init__(self, max_value, prev_avg=None):
+        """Construct the factory instance with given arguments.
+
+        :param max_value: Maximal expected value.
+        :param prev_avg: Population average of the previous group.
+            If None, no previous average is taken into account.
+            If not None, the given previous average is used to discourage
+            consecutive groups with similar averages
+            (opposite triangle distribution is assumed).
+        :type max_value: float
+        :type prev_avg: float or None
+        """
+        self.max_value = max_value
+        self.prev_avg = prev_avg
+
+    def from_avg_stdev_metadata(self, metadata):
+        """Return new metadata object by adding bits to existing metadata.
+
+        :param metadata: Metadata to count bits for.
+        :type metadata: AvgStdevMetadata
+        :returns: The metadata with bits counted.
+        :rtype: BitCountingMetadata
+        """
+        return BitCountingMetadata(
+            max_value=self.max_value, size=metadata.size,
+            avg=metadata.avg, stdev=metadata.stdev, prev_avg=self.prev_avg)
+
+    def from_data(self, values):
+        """Return new metadata object fitting the values.
+
+        :param values: Run values to be processed.
+        :type values: Iterable of float or of AvgStdevMetadata
+        :returns: The metadata matching the values.
+        :rtype: BitCountingMetadata
+        """
+        metadata = AvgStdevMetadataFactory.from_data(values)
+        return self.from_avg_stdev_metadata(metadata)