Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
ExperiencesCoaching
New
Practice
Mock InterviewsTimed interview simulations with feedbackSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Get started
Compare Test Result Logs
00:00
5 left

Compare Test Result Logs

MediumPython

Problem

Implement a function to compare two versions of a test result log and identify added, removed, and changed entries.

Use compare_logs(old_log, new_log), where each log is a list of dictionaries with a unique id and a result value. Return a dictionary with added, removed, and changed lists. Preserve each log's input order. Added and removed lists contain complete entries. Each changed item contains id, before, and after entries. Treat an entry as changed when its result differs.

Constraints

  • 0 <= len(old_log), len(new_log) <= 1000
  • Each entry is a dictionary containing a unique string id and a result value
  • An ID appears at most once in each log
  • Result values are strings
  • Output lists preserve the corresponding input log order

Function Signature

def compare_logs(old_log, new_log):
Interviewer

Your question is Compare Test Result Logs. 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.

You need to log in / sign up to run or submit.
Code
Sign up free to run your codeLog inLn 2
Run your code to see test output here.