Implement Route Planner

Does the submission pass all tests?

Running test.py shows "all tests pass".

Does student implement A* search methods?

The student implements all required methods.

Is the heuristic used in A* search admissible?

The heuristic function used to estimate the distance between two intersections is guaranteed to return a distance which is less than or equal to the true path length between the intersections.

Did Student answer all of the questions correctly?

Student answered all question correctly.

Does code avoid slow lookups through correct choice of data structures?

Code avoids obvious inappropriate use of lists and takes advantage of the performance improvement afforded by sets / dictionaries where appropriate. For example, a data structure like the "open_set" on which membership checks are frequently performed (e.g. if node in open_set) should not be a list.

Does code avoid flagrant unnecessary performance problems?

This item is a judgement call. Student code doesn't need to be perfect but it should avoid big performance degrading issues like…

…unnecessary duplication of lists
…looping through a large set or dictionary when a single constant-time lookup is possible