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Quanta GenAI Curriculum · Python · Advanced

Python Advanced — 022: Re-shape return ladders with fixture parametrization instincts centred on `asyncio tasks, gathers, and backoff` [846572]

Lesson 022: asyncio tasks, gathers, and backoff

Focus

Anchor one invariant before you branch mentally: Advanced drills asyncio tasks, gathers, and backoff; spin token 243651 makes this page unlike its neighbours.

Key ideas

Example (LESSON_UID = "advanced-022")

# Advanced drill L022 topic-2 micro-1 pattern-12
LESSON_UID = "advanced-022"
spin_a, spin_b, spin_c = 949, 391, 444

from io import StringIO

buf = StringIO()
rounds = 3 + 1 % 5
for idx in range(rounds):
    buf.write(f"seg-{idx}-{(idx * 22 + spin_b) % 997}\n")
buf.seek(0)
dump = buf.read()
print("lines", dump.count("\n"))
print("peek", dump.splitlines()[0] if dump else "<empty>")

from pathlib import Path
import tempfile

with tempfile.TemporaryDirectory() as scratch:
    target = Path(scratch) / "scratch-22.txt"
    snap = [35, 989, 952, 915]
    target.write_text("\n".join(str(x) for x in snap), encoding="utf-8")
    print("scratch_bytes", target.stat().st_size, "rolling", sum(snap) % (444 + 131))


import asyncio

async def finalize(seed, spin):
    await asyncio.sleep(0)
    blend = (seed * 131 + 2 * (2 % 997) + 1 * (1 % 853) + spin) % 900001
    return blend

async def harness(loop_seed):
    print("async_result", await finalize(loop_seed, 4509))

asyncio.run(harness(19408))

Practice

Practice 35: Shadow one variable purposely to spotlight scope quirks. Literal nudge 35.

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