This file only shows how the project can be used. I would highly recommned reading the README file to better understand how program works.
- This data prediction will show you many different values for the same test cases as the data generated is random in nature.
- The model will probably need some changes in in logic before it can be put into use.
- Be patient and avoid using large number of agents.
Inorder to run it you can simply run tester.py.
Change the no_of_agents as per your requirement. It is preferable to have multiple test cases with same agent count under ine test case as this will reduce execution time.
The number of requests can be changed by changing the request_nos as can the number of test cases for a given number of agents..
The answer will be 0 if in the situations: No of resquests is less than the no of agesnts, or queue is empty. The answer will vary from run to run as the data generated is random much real life.
If you want to access the functions directly call contoller() from main.py and pass the required parameters.
**Note: You can see the data generated by either viewing Gen_Data.json in the folder after removing comment in these lines. The json can also be pretty printed in the console by removing comment here.