47 154 - Vladmodels Katya Y117

def test_invalid_brand(): with pytest.raises(ValueError, match="Brand must be 'vladmodels'"): parse_vladmodels_spec("othermodels katya y117 47 154")

The code is written as a ( parse_vladmodels_spec ) together with a tiny helper class ( VladModel ). You can drop it into any Python project (or copy‑paste it into a Jupyter notebook) and start using it right away. 1️⃣ What the feature does | Step | Action | |------|--------| | 1️⃣ Parse | Splits the input string into its logical parts: brand , model name , model code , width and height . | | 2️⃣ Validate | Checks that the numeric parts are actually numbers and that the brand is the expected one ( vladmodels ). | | 3️⃣ Enrich | Computes a derived metric – area ( width × height ) – which is often useful for sizing, shipping, UI layout, etc. | | 4️⃣ Return | Gives you a clean, typed object ( VladModel ) that you can query like model.brand , model.area , etc. | | 5️⃣ Extend | The implementation is deliberately short but documented and type‑annotated, so you can easily add more derived fields (volume, aspect‑ratio, …) later. | 2️⃣ The code from __future__ import annotations from dataclasses import dataclass from typing import Tuple, List

from vladmodel_parser import parse_vladmodels_spec

if brand != "vladmodels": raise ValueError(f"Brand must be 'vladmodels', got 'brand'") vladmodels katya y117 47 154

# ------------------------------------------------------------------------- # Example usage (you can delete or comment this block in production code) # ------------------------------------------------------------------------- if __name__ == "__main__": example = "vladmodels katya y117 47 154" model = parse_vladmodels_spec(example)

def test_non_numeric(): with pytest.raises(ValueError, match="must be integer numbers"): parse_vladmodels_spec("vladmodels katya y117 forty seven 154") Run with:

if len(tokens) != 5: raise ValueError( f"Expected 5 whitespace‑separated parts, got len(tokens): tokens" ) def test_invalid_brand(): with pytest

brand, name, code, width_str, height_str = tokens

@property def dimensions_str(self) -> str: """Human‑readable dimensions, e.g. “47 mm × 154 mm”.""" return f"self.width_mm mm × self.height_mm} mm"

def __repr__(self) -> str: return (f"<VladModel self.brand/self.name " f"code=self.code size=self.width_mm×self.height_mm mm " f"area=self.area_mm2:, mm²>") | | 2️⃣ Validate | Checks that the

import pytest from vladmodel_parser import parse_vladmodels_spec, VladModel

@property def area_mm2(self) -> int: """Surface area in square millimetres (width × height).""" return self.width_mm * self.height_mm

area = parse_vladmodels_spec("vladmodels katya y117 47 154").area_mm2 print(area) # → 7238

vladmodels katya y117 47 154 – into a useful data object and does a small bit of domain‑specific work (calculating the “size” of the product).