None of the statements are true. Let's break them down:
-
The only effort to consider regarding algorithm code is implementation.
This is false. Considerations for algorithm code also include design, optimization, maintainability, and readability, not just implementation. -
There are no ways to measure space complexity and time complexity.
This is also false. There are well-established methods in computer science to analyze and measure both space complexity and time complexity, such as Big O notation. -
Shorter codes always have greater ease of implementation than longer codes.
This is not necessarily true. While shorter code can sometimes be easier to implement, it can also lead to compactness that sacrifices clarity and maintainability. Longer code can be more explicit and easier to understand, depending on context.
Thus, none of the provided statements are true.