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Quanta GenAI Curriculum · Python · Advanced

Python Advanced — 112: Snapshot stdlib wedges with narrow scope centred on `pytest fixtures and parametrization` [67111]

Lesson 112: pytest fixtures and parametrization

Focus

Anchor one invariant before you branch mentally: Advanced drills pytest fixtures and parametrization; spin token 973461 makes this page unlike its neighbours.

Key ideas

Example (LESSON_UID = "advanced-112")

# Advanced drill L112 topic-11 micro-1 pattern-9
LESSON_UID = "advanced-112"
spin_a, spin_b, spin_c = 499, 453, 765

def helper(x, bias=105):
    return (x * bias + 1) % 5009

samples = [helper(112 + k) for k in range(3 + 11 % 4)]
print(samples, max(samples) - min(samples))

from pathlib import Path
import tempfile

with tempfile.TemporaryDirectory() as scratch:
    target = Path(scratch) / "scratch-112.txt"
    snap = [125, 629, 142, 646]
    target.write_text("\n".join(str(x) for x in snap), encoding="utf-8")
    print("scratch_bytes", target.stat().st_size, "rolling", sum(snap) % (765 + 131))


import asyncio

async def finalize(seed, spin):
    await asyncio.sleep(0)
    blend = (seed * 131 + 11 * (11 % 997) + 1 * (1 % 853) + spin) % 900001
    return blend

async def harness(loop_seed):
    print("async_result", await finalize(loop_seed, 13132))

asyncio.run(harness(16987))

Practice

Practice 19: Rename locals for domain vocabulary-only; keep behaviour identical. Literal nudge 19.

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