Reproducibility and Version Control | Dataford Interview Questions

How do you ensure the reproducibility and version control of your code?

Implement is_reproducible_history(commits) to validate a commit history. Each commit is a map containing an id, a nullable parent, source code, a map of dependency versions, and a recorded fingerprint. A fingerprint is the source code followed by a newline and dependency entries sorted by dependency name, formatted as name=version and joined with &. Return true only when every fingerprint is correct, there is exactly one root commit, every parent exists, and all commits belong to one acyclic history.

Constraints

1 <= commits.length <= 10^4
Each commit id is a non-empty string
Each dependency name and version is a string
Each commit has exactly one parent value, which is either null or a commit id
A valid history has exactly one root commit

Function Signature

def is_reproducible_history(commits):

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Problem

How do you ensure the reproducibility and version control of your code?

Constraints

1 <= commits.length <= 10^4
Each commit id is a non-empty string
Each dependency name and version is a string
Each commit has exactly one parent value, which is either null or a commit id
A valid history has exactly one root commit

Function Signature

def is_reproducible_history(commits):

Your question is Reproducibility and Version Control. 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.