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@@ -100,7 +100,7 @@ While credit will be given for a functional solution, only optimal solutions wil
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| _Student should be able to construct a binary search tree class that can perform basic operations with O(log n) runtime._ | Task 2. Runtime Optimization | Student does NOT correctly identify the runtime of the starter code in `name.py` and optimize it to run in under 6 seconds | Student does not identify the runtime of the starter code in `name.py`, but optimizes it to run in under 6 seconds, with a solution of O(n log n) or better | Student does BOTH correctly identify the runtime of the starter code in `name.py` and optimizes it to run in under 6 seconds, with a solution of 0(n log n) or better | |
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| _Student should be able to construct a linked list and compare the runtime of operations to an array to make the optimal choice between them._ | Task 3. Reverse the contents of a Singly Linked List | Student's solution in `reverse.py` is failing one or more tests | Student's solution in `reverse.py` is able to correctly print out the contents of the Linked List in reverse order, passing all tests, BUT, the runtime of their solution is not optimal (requires looping through the list more than once) | Student's solution in `reverse.py` is able to correctly print out the contents of the Linked List in reverse order, passing all tests AND it has a runtime of O(n) or better | |
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| _Student should be able to write code that utilizes Python Collections_ | [STRETCH] Optimize code from Task 2, given the constraint that **only standard Python collections** may be used to store names | Level 1 solution provided | Level 2 solution provided | Level 3 solution provided | |
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| **FINAL SCORE** | _(3 tasks + 1 STRETCH goal)_ | **0-5** | **6-9** | **10-12** | |
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#### Passing the Sprint

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