aboutsummaryrefslogtreecommitdiffstats
path: root/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py
diff options
context:
space:
mode:
Diffstat (limited to 'resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py')
-rw-r--r--resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py49
1 files changed, 49 insertions, 0 deletions
diff --git a/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py
new file mode 100644
index 0000000000..d7d0517a57
--- /dev/null
+++ b/resources/tools/presentation/new/jumpavg/AvgStdevMetadataFactory.py
@@ -0,0 +1,49 @@
+# 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.
+
+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