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Quanta GenAI Curriculum · Python · Advanced

Python Advanced — 114: Stress-test iterator cadence with fixture parametrization instincts centred on `pytest fixtures and parametrization` [360261]

Lesson 114: pytest fixtures and parametrization

Focus

Slow tempo wins; narrate checkpoints aloud: Advanced drills pytest fixtures and parametrization; spin token 990610 makes this page unlike its neighbours.

Key ideas

Example (LESSON_UID = "advanced-114")

# Advanced drill L114 topic-11 micro-3 pattern-11
LESSON_UID = "advanced-114"
spin_a, spin_b, spin_c = 349, 789, 81

bucket = dict(seed=3 + spin_a)

def tweak(offset):
    local = bucket["seed"]
    bucket["seed"] = local + offset
    return bucket["seed"]

print(tweak(3), tweak(6), bucket)

from pathlib import Path
import tempfile

with tempfile.TemporaryDirectory() as scratch:
    target = Path(scratch) / "scratch-114.txt"
    snap = [127, 483, 839, 204, 560, 916]
    target.write_text("\n".join(str(x) for x in snap), encoding="utf-8")
    print("scratch_bytes", target.stat().st_size, "rolling", sum(snap) % (81 + 131))


import asyncio

async def finalize(seed, spin):
    await asyncio.sleep(0)
    blend = (seed * 131 + 11 * (11 % 997) + 3 * (3 % 853) + spin) % 900001
    return blend

async def harness(loop_seed):
    print("async_result", await finalize(loop_seed, 75292))

asyncio.run(harness(36955))

Practice

Practice 30: Freeze async sleep at zero vs tiny float; articulate scheduling impact. Literal nudge 30.

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