CSIT-1110: Use jumpavg library from pip

[csit.git] / resources / tools / presentation / new / jumpavg / AvgStdevMetadataFactory.py

diff --git a/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py
deleted file mode 100644 (file)
index 6d2e967..0000000
--- a/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py
+++ /dev/null
@@ -1,51 +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 AvgStdevMetadataFactory class."""
-
-import math
-
-from AvgStdevMetadata import AvgStdevMetadata
-
-
-class AvgStdevMetadataFactory(object):
-    """Class factory which creates avg,stdev metadata from data."""
-
-    @staticmethod
-    def from_data(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: AvgStdevMetadata
-        """
-        sum_0 = 0
-        sum_1 = 0.0
-        sum_2 = 0.0
-        for value in values:
-            if isinstance(value, AvgStdevMetadata):
-                sum_0 += value.size
-                sum_1 += value.avg * value.size
-                sum_2 += value.stdev * value.stdev * value.size
-                sum_2 += value.avg * value.avg * value.size
-            else:  # The value is assumed to be float.
-                sum_0 += 1
-                sum_1 += value
-                sum_2 += value * value
-        if sum_0 < 1:
-            return AvgStdevMetadata()
-        avg = sum_1 / sum_0
-        stdev = math.sqrt(sum_2 / sum_0 - avg * avg)
-        ret_obj = AvgStdevMetadata(size=sum_0, avg=avg, stdev=stdev)
-        return ret_obj