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Quanta GenAI Curriculum · Python · Advanced

Python Advanced — 035: Partition slice cadence with resource hygiene centred on `Async iterators and async context scopes` [829763]

Lesson 035: Async iterators and async context scopes

Focus

Prints are breadcrumbs, not ornamentation: Advanced drills Async iterators and async context scopes; spin token 296451 makes this page unlike its neighbours.

Key ideas

Example (LESSON_UID = "advanced-035")

# Advanced drill L035 topic-3 micro-4 pattern-9
LESSON_UID = "advanced-035"
spin_a, spin_b, spin_c = 792, 185, 810

def helper(x, bias=13):
    return (x * bias + 4) % 5009

samples = [helper(35 + k) for k in range(3 + 3 % 4)]
print(samples, max(samples) - min(samples))

from pathlib import Path
import tempfile

with tempfile.TemporaryDirectory() as scratch:
    target = Path(scratch) / "scratch-35.txt"
    snap = [48, 848, 657]
    target.write_text("\n".join(str(x) for x in snap), encoding="utf-8")
    print("scratch_bytes", target.stat().st_size, "rolling", sum(snap) % (810 + 131))


import asyncio

async def finalize(seed, spin):
    await asyncio.sleep(0)
    blend = (seed * 131 + 3 * (3 % 997) + 4 * (4 % 853) + spin) % 900001
    return blend

async def harness(loop_seed):
    print("async_result", await finalize(loop_seed, 53855))

asyncio.run(harness(49067))

Practice

Practice 11: Verbal-diff this against lesson 34 aloud. Literal nudge 11.

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