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-rw-r--r--yardstick/vTC/apexlake/experimental_framework/benchmarks/benchmark_base_class.py85
1 files changed, 0 insertions, 85 deletions
diff --git a/yardstick/vTC/apexlake/experimental_framework/benchmarks/benchmark_base_class.py b/yardstick/vTC/apexlake/experimental_framework/benchmarks/benchmark_base_class.py
deleted file mode 100644
index 38c91ee3a..000000000
--- a/yardstick/vTC/apexlake/experimental_framework/benchmarks/benchmark_base_class.py
+++ /dev/null
@@ -1,85 +0,0 @@
-# Copyright (c) 2015 Intel Research and Development Ireland Ltd.
-#
-# 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.
-
-
-from __future__ import absolute_import
-import abc
-
-
-class BenchmarkBaseClass(object):
- """
- This class represents a Benchmark that we want to run on the platform.
- One of them will be the calculation of the throughput changing the
- configuration parameters
- """
-
- def __init__(self, name, params):
- if not params:
- params = dict()
- if not isinstance(params, dict):
- raise ValueError("Parameters need to be provided in a dict")
-
- for param in self.get_features()['parameters']:
- if param not in list(params.keys()):
- params[param] = self.get_features()['default_values'][param]
-
- for param in self.get_features()['parameters']:
- if param in self.get_features()['allowed_values'] and \
- params[param] not in \
- (self.get_features())['allowed_values'][param]:
- raise ValueError('Value of parameter "' + param +
- '" is not allowed')
- self.name = name
- self.params = params
-
- def get_name(self):
- return self.name
-
- def get_params(self):
- return self.params
-
- def get_features(self):
- features = dict()
- features['description'] = 'Please implement the method ' \
- '"get_features" for your benchmark'
- features['parameters'] = list()
- features['allowed_values'] = dict()
- features['default_values'] = dict()
- return features
-
- @abc.abstractmethod
- def init(self):
- """
- Initializes the benchmark
- :return:
- """
- raise NotImplementedError("Subclass must implement abstract method")
-
- @abc.abstractmethod
- def finalize(self):
- """
- Finalizes the benchmark
- :return:
- """
- raise NotImplementedError("Subclass must implement abstract method")
-
- @abc.abstractmethod
- def run(self):
- """
- This method executes the specific benchmark on the VNF already
- instantiated
- :return: list of dictionaries (every dictionary contains the results
- of a data point
- """
- raise NotImplementedError("Subclass must implement abstract method")