Walk Through a Small ML Project | Dataford Interview Questions

Build a small project in your preferred IDE and walk me through your approach.

For evaluation, implement a small Python task project with run_project(commands), where commands add or update tasks, complete tasks, or retrieve the highest-priority pending task. Return one result for each NEXT command, using None when no task is available; higher priorities win and ties use lexicographically smaller task IDs.

Input commands are strings: ADD <id> <priority>, COMPLETE <id>, and NEXT. ADD updates an existing pending task's priority.

Constraints

1 <= commands.length <= 10^4
Each command is valid and is one of ADD, COMPLETE, or NEXT
Task IDs contain non-whitespace characters and are case-sensitive
-10^9 <= priority <= 10^9
A task ID has at most one active task

Function Signature

def run_project(commands):

Your question is Walk Through a Small ML Project. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Build a small project in your preferred IDE and walk me through your approach.

Input commands are strings: ADD <id> <priority>, COMPLETE <id>, and NEXT. ADD updates an existing pending task's priority.

Constraints

1 <= commands.length <= 10^4
Each command is valid and is one of ADD, COMPLETE, or NEXT
Task IDs contain non-whitespace characters and are case-sensitive
-10^9 <= priority <= 10^9
A task ID has at most one active task

Function Signature

def run_project(commands):

Your question is Walk Through a Small ML Project. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.