CPython code review standards
E888279
CPython code review standards are the official guidelines that define how changes to the reference Python implementation are evaluated, discussed, and approved by core developers and contributors.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CPython code review standards canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10826000 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CPython code review standards Context triple: [Python Developer Guide, governs, CPython code review standards]
-
A.
PEP 8
PEP 8 is the official Python style guide that defines conventions for writing readable, consistent Python code.
-
B.
Python Enhancement Proposals
Python Enhancement Proposals (PEPs) are the formal design documents that propose, specify, and document new features, processes, and standards for the Python programming language.
-
C.
Python reference implementation (CPython)
Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
-
D.
PEP 13: Python Language Governance
PEP 13: Python Language Governance is the Python Enhancement Proposal that defines the structure, responsibilities, and election process of the Python Steering Council, establishing the project's formal governance model.
-
E.
C++ Coding Standards
C++ Coding Standards is a widely respected book by Herb Sutter and Andrei Alexandrescu that outlines best practices and guidelines for writing efficient, maintainable, and robust C++ code.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CPython code review standards Target entity description: CPython code review standards are the official guidelines that define how changes to the reference Python implementation are evaluated, discussed, and approved by core developers and contributors.
-
A.
PEP 8
PEP 8 is the official Python style guide that defines conventions for writing readable, consistent Python code.
-
B.
Python Enhancement Proposals
Python Enhancement Proposals (PEPs) are the formal design documents that propose, specify, and document new features, processes, and standards for the Python programming language.
-
C.
Python reference implementation (CPython)
Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
-
D.
PEP 13: Python Language Governance
PEP 13: Python Language Governance is the Python Enhancement Proposal that defines the structure, responsibilities, and election process of the Python Steering Council, establishing the project's formal governance model.
-
E.
C++ Coding Standards
C++ Coding Standards is a widely respected book by Herb Sutter and Andrei Alexandrescu that outlines best practices and guidelines for writing efficient, maintainable, and robust C++ code.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
project governance document
ⓘ
software development guideline ⓘ |
| aimsTo |
ensure code quality
ⓘ
ensure consistency across the codebase ⓘ make reviews predictable and fair ⓘ reduce bugs introduced by changes ⓘ |
| appliesTo |
CPython project
ⓘ
linked to:
Python reference implementation (CPython)
CPython reference implementation of Python ⓘ |
| definesProcessFor |
approving pull requests
ⓘ
discussing design changes ⓘ handling review comments ⓘ merging changes ⓘ reviewing code changes ⓘ |
| discourages |
large unrelated changes in a single pull request
ⓘ
style-only changes without justification ⓘ |
| documentedIn |
Python Developer Guide
ⓘ
devguide.python.org ⓘ
linked to:
Python Developer Guide
|
| encourages |
discussion on the issue tracker for controversial changes
ⓘ
multiple reviewers for complex changes ⓘ respectful and constructive review comments ⓘ small focused pull requests ⓘ use of GitHub pull requests ⓘ |
| governedBy | PEP process ⓘ |
| implementedOn |
GitHub pull request workflow
ⓘ
linked to:
GitHub
|
| includesPrinciple |
clear rationale for changes
ⓘ
cross-platform compatibility ⓘ maintainability of the codebase ⓘ performance awareness ⓘ readability of code ⓘ regression avoidance ⓘ security considerations ⓘ stability of public APIs ⓘ |
| maintainedBy |
Python Steering Council
ⓘ
Python core developers ⓘ |
| relatedTo |
CPython commit privileges
ⓘ
linked to:
Python core developers
CPython contribution guidelines ⓘ CPython development workflow ⓘ Python Enhancement Proposals ⓘ |
| requires |
adherence to PEP 7 for C code style
ⓘ
adherence to PEP 8 for Python code style ⓘ at least one core developer review for most changes ⓘ backwards compatibility considerations ⓘ clear commit messages ⓘ documentation updates when behavior changes ⓘ news entry for user-visible changes ⓘ reference to relevant issue numbers ⓘ tests for bug fixes ⓘ tests for new features ⓘ |
| usedBy |
CPython contributors
ⓘ
linked to:
Python core developers
Python core developers ⓘ Python triagers ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: CPython code review standards Description of subject: CPython code review standards are the official guidelines that define how changes to the reference Python implementation are evaluated, discussed, and approved by core developers and contributors.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.