Ensuring Coverage in Iterative Deploys | Dataford Interview Questions

How do you ensure test coverage and data integrity when dealing with rapid, iterative code deployments? Implement a function that evaluates changed components against test results. Return every changed component without coverage and the indices of tests whose actual output differs from the expected output.

Input and Output

changed_components is a list of strings. tests is a list of objects containing covers, expected, and actual fields. Return a dictionary with sorted uncovered components and integrity_failures test indices.

Constraints

0 <= changed_components.length <= 1000
0 <= tests.length <= 1000
Each component name is a non-empty string
Each test contains a list of component names in covers
Expected and actual values are valid values supporting equality comparison
Return uncovered component names in sorted order

Function Signature

def validate_deployment(changed_components, tests):

Your question is Ensuring Coverage in Iterative Deploys. 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

Input and Output

Constraints

0 <= changed_components.length <= 1000
0 <= tests.length <= 1000
Each component name is a non-empty string
Each test contains a list of component names in covers
Expected and actual values are valid values supporting equality comparison
Return uncovered component names in sorted order

Function Signature

def validate_deployment(changed_components, tests):

Your question is Ensuring Coverage in Iterative Deploys. 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.