def test_non_numeric(): with pytest.raises(ValueError, match="must be integer numbers"): parse_vladmodels_spec("vladmodels katya y117 forty seven 154") Run with:
brand, name, code, width_str, height_str = tokens
Returns ------- VladModel A frozen dataclass with all fields populated. vladmodels katya y117 47 154
Expected format (case‑insensitive): "<brand> <name> <code> <width> <height>" Example: "vladmodels katya y117 47 154"
if len(tokens) != 5: raise ValueError( f"Expected 5 whitespace‑separated parts, got len(tokens): tokens" ) def test_non_numeric(): with pytest
@dataclass(frozen=True, slots=True) class VladModel: """A tiny data‑class representing a single VladModels product.""" brand: str # e.g. "vladmodels" name: str # e.g. "katya" code: str # e.g. "y117" width_mm: int # first numeric value (mm) height_mm: int # second numeric value (mm)
Raises ------ ValueError If the string does not contain exactly 5 tokens, or if numeric conversion fails, or if the brand token is not ``vladmodels``. """ tokens = _split_and_clean(spec.lower()) "katya" code: str # e
from vladmodel_parser import parse_vladmodels_spec
import pytest from vladmodel_parser import parse_vladmodels_spec, VladModel