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Diffstat (limited to 'resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py')
-rw-r--r-- | resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py | 51 |
1 files changed, 0 insertions, 51 deletions
diff --git a/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py deleted file mode 100644 index 6d2e967a88..0000000000 --- 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 |