Python Lint Invalid — Unused Import Invalid
Intentionally lint-bait SAMPLE python snippet (unused-import-invalid) for rule-engine tests.
import json # SAMPLE unused
def add(a, b):
return a + b
Specifications
- Language
- python
- Role
- lint-invalid
- Wave
- I
- Intentionally Invalid
- true
What is a .py file?
Python (.py) is a plain-text source file for the Python programming language — a dynamically typed, indentation-structured language widely used for scripting, data science, web back-ends, and automation. A .py file is compiled to bytecode and run by the Python interpreter.
How to use this file
Use an example .py file to test syntax highlighters, linters (like flake8 or ruff), formatters (black), tree-sitter grammars, and language-detection or code-editor tooling against known-correct source.
How to use this file for testing
“Python Lint Invalid — Unused Import Invalid” is a deterministic Novus Examples fixture for Code parsing, Syntax highlighting, Editor testing. Short, known-correct source files in many languages with classes, functions, generics, enums, and error handling — for testing parsers, linters, formatters, language detection, and diff viewers.
Documented properties for this file: lint-invalid · python. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
This is a short, known-correct source file. Run it through your syntax highlighter, linter, formatter, tree-sitter grammar, or parser, and open it in the in-browser editor to tweak and re-download. Each snippet exercises comments, string escapes, literals, and language keywords.
Code examples
python unused-import-invalid.pyRelated files
- pyPython — Fibonacci (dataclass, generator, type hints)A realistic Python snippet exercising type hints, an lru_cache-memoised recursive function, a generator, and a frozen dataclass — for testing syntax highlighters, linters (ruff/flake8), and formatters (black).
- pyPython — Hello WorldThe classic hello-world in idiomatic Python 3, with a shebang, a module docstring, and the standard main guard — the minimal correct program for testing highlighters and interpreters.
- pyPython Async GatherTiny asyncio gather stub for async Python tooling.
- pyPython Dataclass SAMPLEPython dataclass SAMPLE for highlighter and type-checker smoke tests.
- cC — Hello WorldThe classic hello-world in C — an include, main, and printf — for testing highlighters, C compilers, and parsers against the canonical first program.
- cC — Linked list (structs, malloc, pointers)A realistic C program: a singly linked list with a typedef struct, malloc/free memory management, pointer walking, and error handling — for testing highlighters, compilers, and static analysers.
Generated by generation/pad_wave_i.py. Free for any use, no attribution required — license.