Examples
Below are illustrative (though simplified) examples demonstrating how to identify each scenario.
A. Complete Match
You have written a small Python script, calculator.py, that contains exactly five functions (add
, subtract
, multiply
, divide
, and modulo
). Inspecting the environment you provided (say, a dedicated microservice container) the following is found:
- Only those five functions exist in the environment.
- There are no additional scripts, libraries, or utilities included.
Since the environment exactly mirrors your code — no more, no less — this is a Complete Match.
B. Fully Contained
Your calculator.py with five functions is deployed on a large ML platform environment that also includes data manipulation libraries, unrelated scripts, and logging frameworks. The following can be said about the environment:
- It does contain your entire calculator.py.
- It also has multiple other scripts and libraries not related to your code.
As the entire code is there, but the environment also has "extras," this is a Fully Contained.
C. Partial Match
In the environment you provided, only the add
and subtract
functions from your calculator.py are present. The other three (multiply
, divide
, and modulo
) are missing. The following can be said about your environment:
- Part of the code is included.
- It does not contain all five functions.
Because only some of the functions appear, this is a Partial Match.
D. Complete Mismatch
The provided environment is purely a text-processing service. It shares no common functions, structure, or code segments with your calculator.py.
Since none of your code’s functionality is present, this is a Complete Mismatch.
E. No Environment
You provide only your calculator.py code; there is no container, no platform, no hosted environment — no context in which it is deployed.
Since no environment at all is provided, this is a No Environment.