Merge pull request #95 from GAISSA-UPC/acknowledgements

Update Readme: Add acknowledgements on index values

README.md

@@ -152,6 +152,10 @@ Would you like to download the repository locally and run it? Follow these steps
      npm run dev
      ```
 
+## Acknowledgements
+
+We acknowledge the raphischer/strep [repository](https://github.com/raphischer/strep) for its closely related work, particularly in the design of our energy efficiency labels. For transparency, the MIT license has been applied in line with this collaboration on the affected files. Explore [raphischer/strep](https://github.com/raphischer/strep) on GitHub for further details. Our approach to indexing and classification also draws upon industry standards, streamlining comparisons within our tool. We're thankful for these contributions that have shaped our project.
+
 ## About Us and How to Contribute
 
 GAISSALabel is a tool developed within the GAISSA project at the GESSI research group. It serves as a valuable resource for evaluating both the training and inference phases of machine learning models.

backend/efficiency_calculators/label_generator_strategy.py

@@ -1,3 +1,18 @@
+"""
+This file contains code adapted from the raphischer/strep project, available at https://github.com/raphischer/strep.
+We thank Raphael and the contributors for their original work under the MIT license.
+
+MIT License
+
+Copyright (c) 2023 Raphael Fischer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+"""
+
 import os
 import numpy as np
 from io import BytesIO

backend/efficiency_calculators/rating_calculator_strategy.py

@@ -1,3 +1,18 @@
+"""
+This file contains code adapted from the raphischer/strep project, available at https://github.com/raphischer/strep.
+We thank Raphael and the contributors for their original work under the MIT license.
+
+MIT License
+
+Copyright (c) 2023 Raphael Fischer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+"""
+
 import pandas as pd
 import numpy as np